About Ethos

Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.

About the role

This is a senior and highly influential role built around judgment, strategic impact, and deep analytical craft. It starts with genuine understanding of our customers, our business, and the dynamics that drive growth. That understanding is your core asset. You use it to identify the highest-leverage questions, spot opportunities the business hasn’t seen yet, and show up in product and leadership conversations with clear recommendations that change what gets built.

The AI infrastructure we’ve built changes what’s possible for someone in this role. Mechanical analysis moves faster than ever. That frees you to operate at a higher level: training our systems on what good looks like, reviewing and sharpening their output, and bringing the judgment no model can replicate. We’re further along than most, but there’s no finished playbook for this yet. You’d be shaping it.

You go deep in analytics, experimentation, and growth. AI gives you the reach.

You’ll partner directly with product, design, engineering, and executive leadership to shape strategy across high-impact product lines. Nobody has fully cracked how AI transforms product analytics. We’re moving fast, the foundations are real, and there’s room to have massive impact from day one. If you want to be one of the people who shapes how this gets done, this is the role.

Duties and Responsibilities:

• Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you’re in the room.
• Deep customer and business understanding. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews.
• Experimentation at portfolio scale. Own experiment strategy across your product areas: design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows.
• AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output: validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always.
• Connecting dots no one else sees. You operate across product areas, experiments, and data sources: surfacing patterns, opportunity-sizing insights, and strategic bets that siloed analysis misses. You shift how leadership thinks about growth.
• Raising the bar for the entire team. You set the standard for how AI and analytical rigor work together. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster: you make it the team’s new baseline.

Qualifications and Skills:

• 8+ years of product analytics experience in consumer-facing, high-growth environments
• You don’t wait for a spec. You see the gap, frame the question, build the answer, and land the insight with the right audience. You move at 5x the speed of a traditional analyst: not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team.
• You’ve changed what gets built, not just reported on what shipped.
• Deep expertise in experiment design, causal inference, and power analysis: combined with daily use of AI tools and a clear-eyed understanding of where they accelerate, where they hallucinate, and where human judgment is non-negotiable.
• You can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck.
• Comfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Strong SQL foundations: not because you’ll write every query by hand, but because you need to reason through data logic, validate AI-generated output, and debug when something’s off.

#LI-Remote #LI-MB1

The US national base salary range for this full-time position is $166,000 - $260,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.

You can find further details of our US benefits at https://www.ethoslife.com/careers/

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com. We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.

About Ethos

Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.

About the role

This is a senior and highly influential role built around judgment, strategic impact, and deep analytical craft. It starts with genuine understanding of our customers, our business, and the dynamics that drive growth. That understanding is your core asset. You use it to identify the highest-leverage questions, spot opportunities the business hasn’t seen yet, and show up in product and leadership conversations with clear recommendations that change what gets built.

The AI infrastructure we’ve built changes what’s possible for someone in this role. Mechanical analysis moves faster than ever. That frees you to operate at a higher level: training our systems on what good looks like, reviewing and sharpening their output, and bringing the judgment no model can replicate. We’re further along than most, but there’s no finished playbook for this yet. You’d be shaping it.

You go deep in analytics, experimentation, and growth. AI gives you the reach.

You’ll partner directly with product, design, engineering, and executive leadership to shape strategy across high-impact product lines. Nobody has fully cracked how AI transforms product analytics. We’re moving fast, the foundations are real, and there’s room to have massive impact from day one. If you want to be one of the people who shapes how this gets done, this is the role.

Duties and Responsibilities:

• Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you’re in the room.
• Deep customer and business understanding. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews.
• Experimentation at portfolio scale. Own experiment strategy across your product areas: design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows.
• AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output: validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always.
• Connecting dots no one else sees. You operate across product areas, experiments, and data sources: surfacing patterns, opportunity-sizing insights, and strategic bets that siloed analysis misses. You shift how leadership thinks about growth.
• Raising the bar for the entire team. You set the standard for how AI and analytical rigor work together. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster: you make it the team’s new baseline.

Qualifications and Skills:

• 8+ years of product analytics experience in consumer-facing, high-growth environments
• You don’t wait for a spec. You see the gap, frame the question, build the answer, and land the insight with the right audience. You move at 5x the speed of a traditional analyst: not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team.
• You’ve changed what gets built, not just reported on what shipped.
• Deep expertise in experiment design, causal inference, and power analysis: combined with daily use of AI tools and a clear-eyed understanding of where they accelerate, where they hallucinate, and where human judgment is non-negotiable.
• You can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck.
• Comfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Strong SQL foundations: not because you’ll write every query by hand, but because you need to reason through data logic, validate AI-generated output, and debug when something’s off.

#LI-Remote #LI-MB1

The US national base salary range for this full-time position is $166,000 - $260,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.

You can find further details of our US benefits at https://www.ethoslife.com/careers/

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com. We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Manager of Statistical Programming is a strategic role which guides a team of Statistical Programmers in the research and development of new pharmaceutical products. This role is directly responsible for leading the statistical programming activities for the Neuroscience group. The Manager of Statistical Programming must effectively interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities:

• Leads the statistical programming activities for a compound/indication or therapeutic area in early development.
• Leads a team of statistical programmers and manages the resource planning for assigned staff.
• Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
• Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
• Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
• Ensures consistency of ADaM data sets for individual studies and integrated data.
• Creates documentation for regulatory filings including reviewers guides and data definition documents.
• Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
• Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.

Qualifications

Minimum Job Qualifications:

• Bachelors in Statistics or Mathematics
• 10+ years of relevant experience. (or 8+ with a Masters)
• Previous experience leading a team/project of statistical programmers.
• Experience with SAS programming concepts and techniques related to drug development.
• In-depth understanding of CDISC Standards.
• Experience with ADaM development and TLF generation is required

Preferred Qualifications:

• Experience with regulatory filings.

Other Required Skills:

• Ability to communicate clearly both oral and written.
• Ability to effectively represent the Statistical Programming Organization in cross functional teams.
• Ability to accurately estimate effort required for project related programming activities.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Manager of Statistical Programming is a strategic role which guides a team of Statistical Programmers in the research and development of new pharmaceutical products. This role is directly responsible for leading the statistical programming activities for the Neuroscience group. The Manager of Statistical Programming must effectively interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities:

• Leads the statistical programming activities for a compound/indication or therapeutic area in early development.
• Leads a team of statistical programmers and manages the resource planning for assigned staff.
• Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
• Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
• Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
• Ensures consistency of ADaM data sets for individual studies and integrated data.
• Creates documentation for regulatory filings including reviewers guides and data definition documents.
• Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
• Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.

Qualifications

Minimum Job Qualifications:

• Bachelors in Statistics or Mathematics
• 10+ years of relevant experience. (or 8+ with a Masters)
• Previous experience leading a team/project of statistical programmers.
• Experience with SAS programming concepts and techniques related to drug development.
• In-depth understanding of CDISC Standards.
• Experience with ADaM development and TLF generation is required

Preferred Qualifications:

• Experience with regulatory filings.

Other Required Skills:

• Ability to communicate clearly both oral and written.
• Ability to effectively represent the Statistical Programming Organization in cross functional teams.
• Ability to accurately estimate effort required for project related programming activities.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Manager of Statistical Programming is a strategic role which guides a team of Statistical Programmers in the research and development of new pharmaceutical products. This role is directly responsible for leading the statistical programming activities for the Neuroscience group. The Manager of Statistical Programming must effectively interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities:

• Leads the statistical programming activities for a compound/indication or therapeutic area in early development.
• Leads a team of statistical programmers and manages the resource planning for assigned staff.
• Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
• Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
• Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
• Ensures consistency of ADaM data sets for individual studies and integrated data.
• Creates documentation for regulatory filings including reviewers guides and data definition documents.
• Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
• Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.

Qualifications

Minimum Job Qualifications:

• Bachelors in Statistics or Mathematics
• 10+ years of relevant experience. (or 8+ with a Masters)
• Previous experience leading a team/project of statistical programmers.
• Experience with SAS programming concepts and techniques related to drug development.
• In-depth understanding of CDISC Standards.
• Experience with ADaM development and TLF generation is required

Preferred Qualifications:

• Experience with regulatory filings.

Other Required Skills:

• Ability to communicate clearly both oral and written.
• Ability to effectively represent the Statistical Programming Organization in cross functional teams.
• Ability to accurately estimate effort required for project related programming activities.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

About Ethos

Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten.

About the role

This is a senior and highly influential role built around judgment, strategic impact, and deep analytical craft. It starts with genuine understanding of our customers, our business, and the dynamics that drive growth. That understanding is your core asset. You use it to identify the highest-leverage questions, spot opportunities the business hasn’t seen yet, and show up in product and leadership conversations with clear recommendations that change what gets built.

The AI infrastructure we’ve built changes what’s possible for someone in this role. Mechanical analysis moves faster than ever. That frees you to operate at a higher level: training our systems on what good looks like, reviewing and sharpening their output, and bringing the judgment no model can replicate. We’re further along than most, but there’s no finished playbook for this yet. You’d be shaping it.

You go deep in analytics, experimentation, and growth. AI gives you the reach.

You’ll partner directly with product, design, engineering, and executive leadership to shape strategy across high-impact product lines. Nobody has fully cracked how AI transforms product analytics. We’re moving fast, the foundations are real, and there’s room to have massive impact from day one. If you want to be one of the people who shapes how this gets done, this is the role.

Duties and Responsibilities:

• Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you’re in the room.
• Deep customer and business understanding. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews.
• Experimentation at portfolio scale. Own experiment strategy across your product areas: design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows.
• AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output: validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always.
• Connecting dots no one else sees. You operate across product areas, experiments, and data sources: surfacing patterns, opportunity-sizing insights, and strategic bets that siloed analysis misses. You shift how leadership thinks about growth.
• Raising the bar for the entire team. You set the standard for how AI and analytical rigor work together. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster: you make it the team’s new baseline.

Qualifications and Skills:

• 8+ years of product analytics experience in consumer-facing, high-growth environments
• You don’t wait for a spec. You see the gap, frame the question, build the answer, and land the insight with the right audience. You move at 5x the speed of a traditional analyst: not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team.
• You’ve changed what gets built, not just reported on what shipped.
• Deep expertise in experiment design, causal inference, and power analysis: combined with daily use of AI tools and a clear-eyed understanding of where they accelerate, where they hallucinate, and where human judgment is non-negotiable.
• You can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck.
• Comfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Strong SQL foundations: not because you’ll write every query by hand, but because you need to reason through data logic, validate AI-generated output, and debug when something’s off.

#LI-Remote #LI-MB1

The US national base salary range for this full-time position is $166,000 - $260,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.

You can find further details of our US benefits at https://www.ethoslife.com/careers/

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.

To learn more about what information we collect and how it may be used, please refer to our California Candidate Privacy Notice.

Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com. We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Manager of Statistical Programming is a strategic role which guides a team of Statistical Programmers in the research and development of new pharmaceutical products. This role is directly responsible for leading the statistical programming activities for the Neuroscience group. The Manager of Statistical Programming must effectively interface with Statistics, Data Sciences, Medical Writing, Regulatory Publishing and Clinical Operations.

Responsibilities:

• Leads the statistical programming activities for a compound/indication or therapeutic area in early development.
• Leads a team of statistical programmers and manages the resource planning for assigned staff.
• Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
• Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
• Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
• Ensures consistency of ADaM data sets for individual studies and integrated data.
• Creates documentation for regulatory filings including reviewers guides and data definition documents.
• Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
• Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.

Qualifications

Minimum Job Qualifications:

• Bachelors in Statistics or Mathematics
• 10+ years of relevant experience. (or 8+ with a Masters)
• Previous experience leading a team/project of statistical programmers.
• Experience with SAS programming concepts and techniques related to drug development.
• In-depth understanding of CDISC Standards.
• Experience with ADaM development and TLF generation is required

Preferred Qualifications:

• Experience with regulatory filings.

Other Required Skills:

• Ability to communicate clearly both oral and written.
• Ability to effectively represent the Statistical Programming Organization in cross functional teams.
• Ability to accurately estimate effort required for project related programming activities.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our long-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

At MyFitnessPal, we believe good health starts with what you eat. We provide tools, resources and support to enable users to reach their health goals.

MyFitnessPal is evolving into a portfolio of products – a flagship app at scale plus a set of high-growth bets. Every one of those efforts depends on sharp, fast, trustworthy insight. You will build and lead the analytics practice that powers them: defining the metrics the company runs on, owning the experimentation practice that lets teams learn quickly, and turning complex data into the recommendations that shape product strategy. This is a hands-on leadership role: you set the analytical bar, hold it, and coach the team to meet it.

Reporting to our Chief Product Officer, you will lead a team of analysts to identify opportunities, analyze customer behavior, and improve the customer experience by working as a trusted advisor to the CPO and a key member of the product leadership team.

What you’ll be doing:

• Lead and develop a team of product analysts supporting product squads, growth bets, and product and lifecycle marketing
• Serve as a trusted advisor to the Chief Product Officer and senior product, engineering, and marketing leaders, helping shape product strategy through data-driven decision-making
• Conduct and direct in-depth analysis of product and marketing data to derive actionable insights that inform tactical and strategic decisions
• Define, analyze, and report on key product metrics for the business
• Own the experimentation practice enabling cross-functional teams to run properly designed and instrumented experiments, and advancing the tooling that supports them
• Build and execute a compelling, high-quality insights roadmap with a sense of urgency, balancing the need to dive deep with speed to insight
• Present findings to executives and stakeholders with compelling data narratives that drive data-informed decisions

Qualifications to be successful in this role:

• 10+ years in applied analytics, with 5+ years in product and marketing analytics
• 5+ years leading analytics teams, with 3+ years leading product analytics teams specifically, with a track record of hiring, developing, and retaining top talent
• Player-coach mentality: Conducting hands-on analysis where it matters, and scaling through team and processes in other areas.
• Proficient with AI-native and traditional data analysis tools; extensive experience with A/B testing and experimentation platforms
• Proven ability to translate complex data into actionable recommendations, strategic product roadmaps, and feature-level optimizations that drive customer engagement and retention
• Strong bias to action: you identify issues, recommend solutions quickly, and make measurable business impact
• Excellent written, verbal, and visual communication skills – you can tailor your message for an analyst working session or a board slide
• Proven ability to assess data infrastructure, pipelines, and instrumentation, and partner with Data and Engineering teams to improve them
• Experience leading analytics for consumer-facing native iOS and Android apps

Preferred Qualifications:

• Experience working in at-scale subscription businesses
• Experience in the health, wellness, or fitness industries

Values you’ll model

• Be Kind and Care — build with empathy; assume positive intent; support teammates and members.
• Live Good Health — champion healthy habits and balance in how we work and what we ship.
• Be Data-Inspired — ground decisions in research and data; measure what matters.
• Champion Change — lean into ambiguity; iterate, learn, and improve continuously.
• Leave it Better than You Found It — raise quality, clarify systems, and document as you go.
• Make It Happen — bias to action; deliver impact with craft and accountability.

The reasonably estimated salary for this role at MyFitnessPal ranges from $180,000 - $270,000 Actual compensation is based on factors such as the candidate’s skills, qualifications, and experience. In addition, MyFitnessPal offers a wide range of comprehensive and inclusive employee benefits for this role including healthcare, parental planning, mental health benefits, annual performance bonus, a 401(k) plan and match, responsible time off, monthly wellness and technology allowances, and others.

Exciting Full-Time Employee Benefits, Perks and Culture

Face-to-Face Connections : We value personal connections. Enjoy opportunities to meet and connect with your team members in person to help forge meaningful relationships that extend beyond the virtual realm. Teams meet as often as needed and all of MyFitnessPal gathers annually.

Flexibility At Its Best: Achieve the work-life balance you deserve. Enjoy a flexible time-off policy with our Responsible Time Off benefit.

Give Back: Use  your volunteer days off to support what matters most to you. Each full time teammate receives 2 days per calendar year to give back to their community through service.

Mentorship Program: Take control of your career through our mentorship program where, if you’d like, you will be matched with a teammate who can help you scale your skills and propel your growth.

Family-Friendly Support : Embrace the journey with confidence and care. Enjoy our paid maternity and paternity leave, to provide time to balance family responsibilities with your career and take the time needed to strengthen family relationships.  We understand the complexities of starting or expanding a family, which is why we provide best-in-class comprehensive assistance for fertility-related matters.

Wellness Comes First : Live Good Health is one of our core values. Receive a monthly Wellness Allowance, empowering you to focus on your physical and mental well-being by choosing from a range of wellness initiatives, including dedicated mental health days.

Celebrate Greatness: Your hard work deserves recognition! Our reward and recognition platform empowers peers to acknowledge and reward each other for the exceptional contributions they make.

Elevate Your Health & Fitness: Get access to MyFitnessPal Premium, allowing you to take your fitness, health and wellness journey to new heights.

Unlock Your Potential: Access our virtual learning and development library, and participate in training opportunities  to continuously grow and enhance your skills.

Championing Inclusion: Our dedicated DEI Committee actively fosters a diverse and inclusive workplace by setting actionable goals and evaluating progress across the organization.

Healthcare Matters: Your well-being is our priority. Take advantage of our competitive medical, dental, and vision benefits that cater to your holistic healthcare needs. Feel secure and supported on your wellness journey.

Secure Your Future: Benefit from our retirement savings program, giving you peace of mind for your financial goals. Reach them sooner with MyFitnessPal’s competitive employer match.

At MyFitnessPal, our mission is to enable people to make healthy choices. And it wouldn’t be possible without our team. We celebrate the unique POV that each person brings to the table and believe in a collaborative and inclusive environment. As an equal opportunity employer, we prohibit any unlawful discrimination on the basis of race, religion, military or veteran status, sex, gender, marital status, gender identity or expression, sexual orientation, national origin, age, or disability. These are our guiding ideologies and apply across all aspects of employment.

MyFitnessPal participates in E-Verify.

View All Jobs Do you love turning messy behavioral data into the “aha” that changes a product roadmap? Do you want your dashboards to be the first thing product leaders...

View All Jobs Do you love turning messy behavioral data into the “aha” that changes a product roadmap? Do you want your dashboards to be the first thing product leaders...

At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.

More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

• Mission-Driven: We focus on creating economic and social impact.
• People-Centric: We care deeply about our team’s growth, well-being, and sense of belonging.
• Innovative: We embrace change and find better ways to do things together.
• Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you’re passionate about innovation, collaboration, and making a real impact, we’d love to have you on board!

Role Summary

As a People Analytics Principal, you will independently lead complex people analytics work, from data modelling and visualization to workforce planning and data science, providing insights that directly influence talent and organizational strategy. You will engage senior Talent and business stakeholders, translating data into clear recommendations that improve talent outcomes and workforce decisions. This is a great opportunity to deepen your people analytics expertise within a mission-driven, fast-scaling organization.

Responsibilities:

Business intelligence

• Support the business intelligence needs of specific management, governance processes, or operational areas.
• Investigate the need for business intelligence reporting and analysis where there is some complexity and ambiguity.
• Apply non-standard business intelligence tools and techniques proficiently to provide insights and aid decision-making.
• Independently select, acquire, and integrate data for analysis, ensuring data quality and relevance.

Data modelling and design

• Utilize standard data modelling and design techniques to address moderate complexity requirements.
• Establish, modify, and maintain data structures and associated components.
• Communicate details of data structures and associated components effectively to stakeholders.

Data visualization

• Independently design and create various types of data visuals using visualization products.
• Select appropriate visualization techniques from a range of options for diverse data sets.
• Engage extensively with target users to prototype and refine specified visualizations.

Measurement and reporting

• Contribute to the identification and prioritization of measures, scales, and targets for projects, functions, or teams.
• Support the development of measurement methods and assist in specifying base and derived measures to meet agreed information needs.
• Collaborate with teams to design reports and reporting formats, ensuring clarity and relevance.

Data science

• Apply established data science techniques to solve problems and analyze datasets, utilizing programming skills effectively.
• Participate in evaluating the outcomes and performance of data science models, providing input on improvements.
• Support the training and enhancement of models and the data they utilize, under supervision.

Workforce planning

• Gather, maintain, and analyze workforce capability data to support workforce planning initiatives.
• Conduct detailed gap analysis to identify discrepancies between existing workforce capabilities and future business needs.

Stakeholder engagement and decision support

• Engage with Talent and business teams to present data insights and ensure alignment of analytics with stakeholder needs.
• Independently apply data insights to recommend improvements to Talent processes and workforce management strategies.
• Demonstrate an understanding of how people analytics supports broader business objectives, contributing to talent initiatives that drive performance.

Must-have skills (required)

• Talent metrics and KPIs: able to monitor and report on a broad set of Talent KPIs, offering insights and recommendations to improve talent outcomes.
• Technical proficiency in data tools: proficient in advanced data tools and platforms, such as Power BI or Tableau, using them to generate deeper insights and automate reporting processes.
• Research skills: able to conduct research using established methods and procedures, formulate hypotheses, and make informed interpretations of findings.
• Analytical skills: able to analyze data to identify trends, correlations, and outliers, applying statistical methods to solve moderately complex problems.
• User research: able to independently conduct user research activities under guidance, collecting and analyzing data using established methodologies.
• Decision-making: uses substantial discretion in identifying and responding to complex issues, escalating when appropriate.
• Planning: able to plan, schedule, and monitor work to meet objectives, processes, time, and quality targets.

Academic and professional requirements

• Bachelor’s degree in People Analytics, Data Science, Statistics, HR, or a related field, or equivalent practical experience.
• 5–7 years of experience in people analytics, HR data analysis, or a related analytical role.

Nice-to-have skills (preferred)

• Experience with HRIS or workforce planning systems.

• Exposure to data science techniques and model evaluation.

• Experience presenting insights to senior stakeholders.

• Great Mission and Culture

• Meaningful Work

• Market competitive salary

• Quarterly variable compensation

• Hybrid Working Model

• Comprehensive medical cover

• Group life insurance

• Personal development and growth opportunities

At CloudFactory, we believe that work should be more than just a job—it should be a platform for growth, impact, and community. Here, you’ll earn with purpose, learn every day, and serve a mission that truly matters. If you’re looking for a career where you can develop professionally, contribute meaningfully, and be part of a global movement, we’d love to have you on this journey!

Join us today and be part of our mission to connect people and technology for a better world! Apply now and bring your whole, authentic self to work—we can’t wait to meet you!

Job Title: Director, Real-World Evidence Data Platform Job Location: Remote Position (USA), Remote, US Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job ID REQ-10084861 Aug 14, 2026 USA Available in: English Summary This role will be part of the Real-World Evidence team and will support the development, implementation, and operationalization of scalable real-world data platforms that enable high-quality, timely, and strategically relevant evidence generation.

Headquarters: United States - Remote Opportunity

About Us

Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer’s toolbox, and are building the team that will make that happen.   Our values guide us —they are present in how we show up, make decisions, and work together to make an impact. We’re curious, driven, collaborative, genuine and humble.   Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you!

Role Summary

The Director of GTM Strategy and Analytics at Temporal will play a pivotal role in architecting our global growth engine. This position sits at the intersection of Sales, Marketing, Finance, and Data, with primary responsibility for translating complex data into the strategic roadmap for our go-to-market (GTM) organization. You will be the lead architect for how we deploy our field teams, measure their success, and invest our next dollar for maximum leverage.

Reporting to the VP of Revenue Operations, you will partner closely with GTM and Finance leaders to build the foundational models that power our business — from headcount capacity and productivity to territory optimization and quota setting. You will also play a key role in powering the GTM operating cadence with insights, from weekly operational reporting to quarterly business reviews and board meetings. This role requires a blend of high-level strategic thinking, deep technical data expertise, and a strong understanding of both enterprise and product-led-growth motions. We are centered around providing actionable insights to our leadership team that drive tangible, positive business outcomes.

The ideal candidate is a seasoned operator who thrives in the "building" phase of a high-growth company. You are a master of data modeling who can also command a room of executives. As a Director at Temporal, you will have the opportunity to design GTM frameworks from the ground up, using best-in-class technologies while collaborating with a high-performance team dedicated to category-defining growth.

What You’ll Do

• Deliver high-quality analytical outputs, including quarterly business reviews (QBRs), productivity benchmarks, and data-driven recommendations for the GTM leadership team.
• Partner closely with Finance and GTM leadership to lead the annual and semi-annual planning cycles, including the development and deployment of headcount models, territory design, and sales quotas.
• Build and maintain sophisticated headcount and capacity models to ensure the GTM organization is staffed to hit aggressive revenue targets based on historical ramp times and attrition.
• Design and optimize sales territories using data-driven methodologies to ensure equitable patch distribution and maximum market coverage across segments.
• Partner closely with the Data team to design and deploy predictive models (e.g. account propensity) as well as traditional business intelligence reporting. 
• Analyze the health of the sales pipeline and marketing funnel to identify leading indicators of growth and pinpoint potential bottlenecks in the customer journey.
• Monitor and evaluate sales productivity performance over time, detecting trends in attainment and developing "what good looks like" profiles for various sales roles.
• Conduct "white space" and TAM/SAM analyses to identify new vertical or geographic opportunities for expansion.
• Communicate insights effectively to technical and non-technical audiences through clear visualizations and narratives, providing the data-backed backbone for Board-level and investor discussions.

What You'll Bring

• 8-10+ years of experience working in a highly analytical role focused on GTM planning, strategy, or analytics in a high-growth SaaS or infrastructure environment.
• Strong foundation in operational modeling, statistical analysis, and quantitative reasoning within a B2B context.
• Deep proficiency in SQL and the Salesforce ecosystem; familiarity with the modern GTM stack.
• Experience working with modern data processing and query engines to extract insights from raw usage and behavioral data (e.g. AWS Athena).
• Familiarity with key SaaS business metrics such as Magic Number, CAC Payback, LTV/CAC, and Net Revenue Retention (NRR).
• Hands-on experience with territory management tools and quota-setting methodologies at scale.
• A results-oriented mindset with a focus on driving measurable improvements in sales velocity and rep attainment.
• Ability to prototype complex models quickly in Excel or Google Sheets and transition them into scalable BI solutions.
• Comfort operating in environments with imperfect data definitions, evolving metrics, and the need to make high-stakes decisions under uncertainty.
• Demonstrated ability to lead cross-functional projects and influence executive-level stakeholders.
• Curiosity and enthusiasm for uncovering the "why" behind the numbers through continuous experimentation and iteration.
• Clear communicator who can explain complex strategic decisions and analytical insights in plain language, tailoring the message to the specific needs of the leadership team.

Compensation:

• The estimated pay range for this role is $260K - $326K.
• Additionally, this role is eligible to participate in Temporal's equity plan.

 

Compensation ranges reflect salary and commission compensation (when applicable) across several geographic markets. Employment offers carefully consider multiple factors, including prior experience, knowledge, expertise, skillset, market location, and job level assessed during the interview process.   Employee benefits and perks below are for full-time employees, part-time or temporary positions are excluded.    U.S. Benefits 

• Unlimited PTO, 12 Holidays + 2 Floating Holidays
• 100% Premiums Coverage for Medical, Dental, and Vision
• AD&D, LT & ST Disability, and Life Insurance (Standard & Supplemental Available)
• Empower 401K Plan
• Additional Perks for Learning & Development, Lifestyle Spending, Home Office Setup, Professional Memberships, WFH Meals, Internet Stipend and more!

International Benefits

Paid Time Off (PTO) and Benefits outside the United States vary by country, and are issued in partnership with Remote.com.  Additionally, Temporal offers perks to all international employees for learning & career development, a lifestyle spending account, home office setup, professional memberships, work-from-home meals, and access to the Calm app for mental wellness.

Travel

Temporal is a globally distributed, collaborative team that values opportunities for in-person connection. Occasional travel may be required for company events, team offsites, and other meaningful moments that bring us together.

 

Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.   Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.   We are not working with external recruitment agencies, thanks.

To apply: https://weworkremotely.com/remote-jobs/temporal-technologies-director-gtm-strategy-analytics

Responsible for the direction and oversight of reporting and analytics.

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501© Mozilla Foundation. This means we aren’t beholden to any shareholders—only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The Data Science organization shapes Mozilla’s most important business decisions through data. As a Senior Staff (P5) Data Scientist, you will be an analytical leader, partnering with senior executives to turn ambiguity into clear, data-driven recommendations that influence Mozilla’s long-term strategy.

What you’ll do:

• Strategic Influence: Shape Mozilla’s most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy.
• Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions.
• Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution.
• Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization.

What you’ll bring:

• Exceptional Communication: Outstanding verbal and written communication skills, with the ability to translate complex technical findings into clear, decision-ready recommendations while preserving analytical rigor. Proven success communicating effectively with both technical and executive audiences.
• Influence Without Authority: A track record of driving alignment across cross-functional teams, earning trust through expertise, and leading through influence rather than formal authority. Experience across multiple industries, domains, or problem spaces is a plus.
• Technical Mastery: Deep expertise in Python or R, SQL, statistics, and modern data science tooling. A strong foundation in analytical methods, paired with curiosity for emerging technologies and sound judgment about when to apply them.

What you’ll get:

• Generous performance-based bonus plans to all eligible employees
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-REMOTE

Req ID: R3163

Hiring Ranges:

Canada Tier 1 Locations

$191,000—$255,000 CAD

Canada Tier 2 Locations

$173,000—$231,000 CAD

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501© Mozilla Foundation. This means we aren’t beholden to any shareholders—only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The Data Science organization shapes Mozilla’s most important business decisions through data. As a Senior Staff (P5) Data Scientist, you will be an analytical leader, partnering with senior executives to turn ambiguity into clear, data-driven recommendations that influence Mozilla’s long-term strategy.

What you’ll do:

• Strategic Influence: Shape Mozilla’s most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy.
• Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions.
• Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution.
• Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization.

What you’ll bring:

• Exceptional Communication: Outstanding verbal and written communication skills, with the ability to translate complex technical findings into clear, decision-ready recommendations while preserving analytical rigor. Proven success communicating effectively with both technical and executive audiences.
• Influence Without Authority: A track record of driving alignment across cross-functional teams, earning trust through expertise, and leading through influence rather than formal authority. Experience across multiple industries, domains, or problem spaces is a plus.
• Technical Mastery: Deep expertise in Python or R, SQL, statistics, and modern data science tooling. A strong foundation in analytical methods, paired with curiosity for emerging technologies and sound judgment about when to apply them.

What you’ll get:

• Generous performance-based bonus plans to all eligible employees
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-REMOTE

Req ID: R3163

Hiring Ranges:

Canada Tier 1 Locations

$191,000—$255,000 CAD

Canada Tier 2 Locations

$173,000—$231,000 CAD

Job Overview

We are looking for a hands-on analytics leader to join our Product team as Manager, Data Analytics. Reporting to the VP of Product Management, this person will lead our Data Analytics function — setting the direction and strategy for the team while personally driving the majority of our most important analysis work. This is a true player-coach role: we expect roughly 80% of your time to be spent on hands-on analytical work, with the remaining 20% on team management, strategic alignment, and presenting to senior leadership. You’ll partner closely with our Data Engineering team, who own and maintain our data pipeline, and with Product, Growth, and Marketing stakeholders across the company. We are a remote-first company and foster an environment based on kindness, humility, transparency, and helpfulness.

What you’ll do

• Personally deliver data-driven insights, recommendations, and deep-dive analyses that shape product, growth, and business decisions — from framing the question through presenting the answer.
• Design and analyze experiments and A/B tests, bringing statistical rigor to how we evaluate product and growth initiatives.
• Develop, maintain, and improve the dashboards and reports the company relies on to measure and manage KPIs — including acquisition, engagement, retention, and monetization metrics.
• Own the definitions and governance of our core business metrics, ensuring a trusted, single source of truth across the company.
• Set the overall direction, strategy, and roadmap for the Data Analytics team, ruthlessly prioritizing requests from Product, Growth, Marketing, and Engineering.
• Manage, mentor, and develop the data analysts on the team, raising the bar on analytical quality and craft.
• Partner closely with Data Engineering on data models, pipeline improvements, instrumentation, and data quality — advocating for the datasets and tooling the analytics team needs.
• Embrace and champion AI tools throughout the analytics workflow — using them daily to accelerate query development, analysis, and reporting, and helping the team and company adopt them effectively.
• Enable self-serve analytics so stakeholders can answer routine questions themselves, freeing the team for higher-leverage work.
• Communicate findings clearly and persuasively to senior leadership and executives, and support our company-wide OKR process with sound measurement.

What you bring to the table

• You have 7–10 years of experience in Analytics and Data Science, including experience leading or mentoring analysts — and you still love doing the work yourself.
• You have expert-level SQL skills and experience pulling insights from large, complex datasets — preferably using Google BigQuery.
• You’re proficient with modern BI and visualization tools (Looker preferred, or Tableau/Power BI or similar).
• You have working knowledge of Python or R for statistical analysis, and a solid grounding in experimentation methodology and statistics.
• You have readily embraced the latest AI tools (LLMs, AI coding assistants, agentic workflows) as a core part of how you work, and you’re curious about how they keep changing the craft.
• You’re technically competent and deeply curious — no detail is too small, no dataset too messy, and no question goes unexamined.
• You have experience partnering with data engineering teams on data modeling, pipelines, and data quality, and you know how to be a great customer of a data platform.
• You have excellent interpersonal, communication, and presentation skills, and are comfortable presenting insights and recommendations to executives.
• You’re highly organized with strong prioritization skills, able to juggle multiple — and at times conflicting — priorities and stakeholder needs.
• You’re opinionated about the metrics that matter for a consumer streaming and subscription business — experience in streaming, entertainment, or consumer subscription products is a plus.
• You are kind, humble, helpful and enjoy getting stuff done.
• You are intrinsically motivated, able to manage your time, and enjoy working with a distributed team across the globe.
• You believe in asking for help and helping others when they ask, never throwing a problem over the wall.
• You are hungry to have an impact, continuously working to improve our product, process and push the team to be its best.

Who we are

Plex is a global streaming media platform that gives millions of customers around the world the freedom to enjoy all the content they love in one simple, beautiful app. Our vision is to empower real human connections by bringing people and entertainment together. So, we’re on a mission to create a global community for streaming content that people can depend on to easily discover, experience, and share all of the entertainment that matters to them.

What sets us apart

• We are the largest independent streaming platform built by a global team of employees who are fanatically passionate about delivering the highest quality, most unified, and user-friendliest entertainment experience possible.
• We have always been a distributed organization, with people making great things happen in over 20 different countries and 11 time zones.
• We host epic in-person off-sites to bring team members together a few times a year.
• We are passionate about our mission and we work hard, while still providing flexibility around a schedule that works for you.
• We love what we’re building and our user community is an integral part of our development process. We actively engage with customers to understand what is working, what they want more of, and how we can be better.
• We are committed to improving the communities where we live and work with charitable contributions, partnerships, and service.

Remote Work / Onsite Interview

• Plex hires new team members in countries around the world.
• As such, Plex does not sponsor employment visas.
• All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our hiring team can help answer any questions about location after starting the recruiting process.
• Also, please note, though we largely work asynchronously, as it relates to meetings, those generally occur between UTC 1600 to UTC 1900
• All final interviews will be in-person and onsite

The Plex Values

• Be kind, humble, and helpful.
• Approach problems with curiosity, creativity, and flexibility.
• Put yourself on the customer’s couch.
• Be a good steward. Like a boss!
• Build relationships to ensure healthy debate.
• Foster a global and diverse team spirit.
• Show gratitude and give back.
• Seek balance for yourself and Plex.

Compensation

Our compensation reflects the cost of labor across several US and Global geographic markets. The base pay for this position ranges from $100,000 / year in our lowest geographic market up to $170,000 / year in our highest geographic market. Pay is based on a number of factors including market location, seniority, local currency and may vary depending on job-related knowledge, skills, and experience.

Benefits

• Monthly Balance Wellness Stipend
• Productivity Stipend
• Flexible paid time off
• Paid parental leave
• Hardware stipend
• Flextime, work from anywhere
• Comprehensive health insurance
• Stock options
• 401k (US employees)
• Plex for the Planet community service opportunities

AI Interview Guidelines at Plex

We want and will encourage you to use AI for your role here at Plex should you join us! That said, AI use will not be accepted during the interview process. If we believe you are using AI during the interview process in the following ways, we will not move forward with you for the role.

• Application Materials - Using AI to assist in building your resume or cover letter is acceptable. However, we expect the application materials you submit to represent your qualifications and skills accurately. If we determine that these may have been misrepresented, we will not move forward.
• Virtual Interviews - Our interviews are designed to test your ability to demonstrate skills needed for the role you’re interviewing for. We seek to understand your interpersonal and collaborative abilities, and how that would translate into the job. We ask that you engage in our interviews without reading from or referencing AI-produced answers. If we detect that you are doing so without permission or advance disclosure, we will not move forward.

Diversity, Equity, and Inclusion at Plex

At Plex, our vision is to empower real human connection by bringing people and entertainment together. This vision is at the heart of our diversity, equity and inclusion work.

As a fully remote, global company, we take pride in our ability and dedication to building a workforce that represents our global audience. Our virtual work environment is intentionally designed to draw from all backgrounds, creating a sense of belonging and ownership for every employee.

As we create a global community of streaming media, we know we need a team that represents the diversity of our users and a company culture that welcomes people to be their authentic selves, and we’re all in!

Our DEI efforts are focused on the following:

• Building a diverse and global company
• Creating an inclusive culture

Our DEI Foundations:

• Participation, Education and Awareness, Data and Understanding

Does this sound interesting? We’re looking for a Manager, Data Analytics who is ready to join us to have a material impact in Plex’s growth and success!

Plex is an Equal Employment Opportunity employer and is committed to building an inclusive and diverse workforce. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other classification protected by applicable discrimination laws. Should you require an accommodation during our interviewing and hiring process, please let your recruiter know.

Job Overview

We are looking for a hands-on analytics leader to join our Product team as Manager, Data Analytics. Reporting to the VP of Product Management, this person will lead our Data Analytics function — setting the direction and strategy for the team while personally driving the majority of our most important analysis work. This is a true player-coach role: we expect roughly 80% of your time to be spent on hands-on analytical work, with the remaining 20% on team management, strategic alignment, and presenting to senior leadership. You’ll partner closely with our Data Engineering team, who own and maintain our data pipeline, and with Product, Growth, and Marketing stakeholders across the company. We are a remote-first company and foster an environment based on kindness, humility, transparency, and helpfulness.

What you’ll do

• Personally deliver data-driven insights, recommendations, and deep-dive analyses that shape product, growth, and business decisions — from framing the question through presenting the answer.
• Design and analyze experiments and A/B tests, bringing statistical rigor to how we evaluate product and growth initiatives.
• Develop, maintain, and improve the dashboards and reports the company relies on to measure and manage KPIs — including acquisition, engagement, retention, and monetization metrics.
• Own the definitions and governance of our core business metrics, ensuring a trusted, single source of truth across the company.
• Set the overall direction, strategy, and roadmap for the Data Analytics team, ruthlessly prioritizing requests from Product, Growth, Marketing, and Engineering.
• Manage, mentor, and develop the data analysts on the team, raising the bar on analytical quality and craft.
• Partner closely with Data Engineering on data models, pipeline improvements, instrumentation, and data quality — advocating for the datasets and tooling the analytics team needs.
• Embrace and champion AI tools throughout the analytics workflow — using them daily to accelerate query development, analysis, and reporting, and helping the team and company adopt them effectively.
• Enable self-serve analytics so stakeholders can answer routine questions themselves, freeing the team for higher-leverage work.
• Communicate findings clearly and persuasively to senior leadership and executives, and support our company-wide OKR process with sound measurement.

What you bring to the table

• You have 7–10 years of experience in Analytics and Data Science, including experience leading or mentoring analysts — and you still love doing the work yourself.
• You have expert-level SQL skills and experience pulling insights from large, complex datasets — preferably using Google BigQuery.
• You’re proficient with modern BI and visualization tools (Looker preferred, or Tableau/Power BI or similar).
• You have working knowledge of Python or R for statistical analysis, and a solid grounding in experimentation methodology and statistics.
• You have readily embraced the latest AI tools (LLMs, AI coding assistants, agentic workflows) as a core part of how you work, and you’re curious about how they keep changing the craft.
• You’re technically competent and deeply curious — no detail is too small, no dataset too messy, and no question goes unexamined.
• You have experience partnering with data engineering teams on data modeling, pipelines, and data quality, and you know how to be a great customer of a data platform.
• You have excellent interpersonal, communication, and presentation skills, and are comfortable presenting insights and recommendations to executives.
• You’re highly organized with strong prioritization skills, able to juggle multiple — and at times conflicting — priorities and stakeholder needs.
• You’re opinionated about the metrics that matter for a consumer streaming and subscription business — experience in streaming, entertainment, or consumer subscription products is a plus.
• You are kind, humble, helpful and enjoy getting stuff done.
• You are intrinsically motivated, able to manage your time, and enjoy working with a distributed team across the globe.
• You believe in asking for help and helping others when they ask, never throwing a problem over the wall.
• You are hungry to have an impact, continuously working to improve our product, process and push the team to be its best.

Who we are

Plex is a global streaming media platform that gives millions of customers around the world the freedom to enjoy all the content they love in one simple, beautiful app. Our vision is to empower real human connections by bringing people and entertainment together. So, we’re on a mission to create a global community for streaming content that people can depend on to easily discover, experience, and share all of the entertainment that matters to them.

What sets us apart

• We are the largest independent streaming platform built by a global team of employees who are fanatically passionate about delivering the highest quality, most unified, and user-friendliest entertainment experience possible.
• We have always been a distributed organization, with people making great things happen in over 20 different countries and 11 time zones.
• We host epic in-person off-sites to bring team members together a few times a year.
• We are passionate about our mission and we work hard, while still providing flexibility around a schedule that works for you.
• We love what we’re building and our user community is an integral part of our development process. We actively engage with customers to understand what is working, what they want more of, and how we can be better.
• We are committed to improving the communities where we live and work with charitable contributions, partnerships, and service.

Remote Work / Onsite Interview

• Plex hires new team members in countries around the world.
• As such, Plex does not sponsor employment visas.
• All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our hiring team can help answer any questions about location after starting the recruiting process.
• Also, please note, though we largely work asynchronously, as it relates to meetings, those generally occur between UTC 1600 to UTC 1900
• All final interviews will be in-person and onsite

The Plex Values

• Be kind, humble, and helpful.
• Approach problems with curiosity, creativity, and flexibility.
• Put yourself on the customer’s couch.
• Be a good steward. Like a boss!
• Build relationships to ensure healthy debate.
• Foster a global and diverse team spirit.
• Show gratitude and give back.
• Seek balance for yourself and Plex.

Compensation

Our compensation reflects the cost of labor across several US and Global geographic markets. The base pay for this position ranges from $100,000 / year in our lowest geographic market up to $170,000 / year in our highest geographic market. Pay is based on a number of factors including market location, seniority, local currency and may vary depending on job-related knowledge, skills, and experience.

Benefits

• Monthly Balance Wellness Stipend
• Productivity Stipend
• Flexible paid time off
• Paid parental leave
• Hardware stipend
• Flextime, work from anywhere
• Comprehensive health insurance
• Stock options
• 401k (US employees)
• Plex for the Planet community service opportunities

AI Interview Guidelines at Plex

We want and will encourage you to use AI for your role here at Plex should you join us! That said, AI use will not be accepted during the interview process. If we believe you are using AI during the interview process in the following ways, we will not move forward with you for the role.

• Application Materials - Using AI to assist in building your resume or cover letter is acceptable. However, we expect the application materials you submit to represent your qualifications and skills accurately. If we determine that these may have been misrepresented, we will not move forward.
• Virtual Interviews - Our interviews are designed to test your ability to demonstrate skills needed for the role you’re interviewing for. We seek to understand your interpersonal and collaborative abilities, and how that would translate into the job. We ask that you engage in our interviews without reading from or referencing AI-produced answers. If we detect that you are doing so without permission or advance disclosure, we will not move forward.

Diversity, Equity, and Inclusion at Plex

At Plex, our vision is to empower real human connection by bringing people and entertainment together. This vision is at the heart of our diversity, equity and inclusion work.

As a fully remote, global company, we take pride in our ability and dedication to building a workforce that represents our global audience. Our virtual work environment is intentionally designed to draw from all backgrounds, creating a sense of belonging and ownership for every employee.

As we create a global community of streaming media, we know we need a team that represents the diversity of our users and a company culture that welcomes people to be their authentic selves, and we’re all in!

Our DEI efforts are focused on the following:

• Building a diverse and global company
• Creating an inclusive culture

Our DEI Foundations:

• Participation, Education and Awareness, Data and Understanding

Does this sound interesting? We’re looking for a Manager, Data Analytics who is ready to join us to have a material impact in Plex’s growth and success!

Plex is an Equal Employment Opportunity employer and is committed to building an inclusive and diverse workforce. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other classification protected by applicable discrimination laws. Should you require an accommodation during our interviewing and hiring process, please let your recruiter know.

About Foodsmart:

Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs.

Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money.

Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases.

At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:

👥 Customer First - You start with the member and work backwards.

🚀 Make It Happen - You act with urgency, use data, and hold high standards.

🤝 One Team - You collaborate with respect and commit as a group.

Whether you’re a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.

About the Role:

Every QBR, renewal conversation, and RFP Foodsmart brings to a client or prospect is only as strong as the data behind it. We’re looking for a Director, Client Data Science to own that foundation: the reporting, automation, and metrics that make sure our external story holds up, without turning into a manual scramble every time a client asks a hard question.

You won’t own Foodsmart’s external narrative itself, that lives with our go-to-market and sales teams, but you’ll make sure it’s built on solid data, and you’ll act as the analytical consultant who helps sharpen how it’s told.

This is a high-impact, domain-owning role reporting to the VP of Analytics & Data Science. You’ll be the connective point across the rest of the analytics team, pulling in expertise on member engagement and clinical outcomes as needed to round out the external story, while owning the client-facing data foundation yourself. You’ll also build and own our system of client SLAs: what we can validate and stand behind today, and the standing recommendation on whether to take on new ones.

This is a lead role where leadership shows up in being the confident, credible voice in front of clients and partners rather than in managing a large team. It’s heavily hands-on: you’ll build the reporting infrastructure yourself, work closely with Data Engineering to automate recurring weekly and monthly client reporting, and lean on AI as a genuine force multiplier, the main way this area scales, rather than just by adding headcount.

This is a hands-on infrastructure and reporting role. We need someone who can move fluidly from dbt modeling to BI build-out to actually sitting in front of a client, and who treats that full range as one job, not three.

We’re specifically looking for someone who has held an equivalent role at another health tech company: someone who has already lived the specific mix of clinical, operational, and commercial reporting that clients and payers expect, not someone learning the domain from scratch. Beyond that, we’re a small, flat, fast-moving team that leans hard into AI-native tooling. Hex, Omni, and Claude Code are our defaults for building and automating, and we want someone who thinks the same way.

You will:

• Own Client Quarterly Business Review (QBR) automation end to end. Build the systems, using AI alongside other automation tooling, that turn QBR prep, including the slides and commentary, from a manual production process into something that runs largely on its own.
• Automate Foodsmart’s recurring weekly and monthly client reporting in partnership with Data Engineering, so routine reporting runs on its own instead of eating analyst time every cycle.
• Own the RFP data function: providing the analysis, benchmarks, and data cuts that Sales and the proposal team need, without owning the writing or the proposal process itself.
• Create and own a standard system of client SLAs: which commitments we can validate and stand behind today, and act as the point person for evaluating whether to adopt new SLA asks from prospects or clients.
• Build and maintain the foundational set of metrics Foodsmart uses externally: consistent, defensible numbers that Sales, Customer Success, RFP responses, and QBRs can all draw from rather than each function calculating its own version.
• Be conversant in Foodsmart’s clinical ROI story well enough to represent it confidently in QBRs and client conversations, partnering with our Senior Director of Clinical Intelligence on the underlying technical model and any deep-dive analysis.
• Act as the data consultant behind Foodsmart’s external narrative: make sure it’s built on accurate data, and help sharpen how it’s told, without owning the story or the external materials yourself.
• Pull in expertise from across the analytics team, including member engagement and clinical outcomes, as needed to assemble a complete and accurate external story, rather than trying to own every domain’s data yourself.
• Partner directly with Customer Success and Sales leadership as their embedded analytical lead, attending cadences and understanding what clients and prospects are actually asking for.
• Represent Foodsmart directly in front of clients and prospects when needed, whether that’s presenting a QBR, supporting a sales call with data, or fielding technical questions during a deal.

You are:

• An operator who thrives in flat, fast-moving teams, comfortable owning a broad mandate with minimal oversight.
• A confident external communicator. You’re comfortable being in the room with clients, prospects, and partners, translating data into a clear, credible story on the spot, not just producing the underlying analysis.
• A systems thinker who’d rather build the infrastructure that makes dozens of QBRs easy than manually produce each one well. You see repetition as a signal to automate, not grind through.
• A trustworthy data steward. When you say a metric or an SLA is solid enough to put in front of a client or a payer, that means something, and you’re comfortable being the person who has to actually validate that before it goes external.
• A full-stack analytics practitioner, strong across analytics engineering (dbt, semantic layer), BI and reporting, and enough data science fluency to know when a number needs real rigor behind it before it goes external.
• Deeply fluent with AI-native tooling. You default to using Claude, Claude Code, and in-BI AI agents to build and automate, and you have a point of view on how to use them to replace manual reporting work specifically.
• Someone who treats AI as a real lever on your own output. You default to using it to build, automate, and extend your reach, and you’d rather scale this area through leverage than through headcount.

You have:

• Bachelor’s degree, ideally in a quantitative or technical field (e.g., Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master’s degree is a plus.
• 12+ years of experience in data science, analytics, or BI, with real experience owning client-facing or external-facing reporting.  4+ years leading teams
• Experience in an equivalent role at another healthtech company, ideally one with a similar mix of clinical, operational, and commercial reporting demands.
• Direct experience supporting RFP processes with data and analysis, ideally in a healthcare, Medicaid, or payer-adjacent context.
• Experience building or owning SLA frameworks, or a clear point of view on how to structure one from scratch.
• Comfort discussing clinical ROI and outcomes methodology at a business level. You don’t need to own the technical model, that sits with our Senior Director of Clinical Intelligence, but you need to represent it credibly to clients and prospects.
• Experience partnering directly with Sales and Customer Success leadership as their analytical lead.
• Expert-level proficiency in SQL and working knowledge in Python.
• Deep, production-level experience with dbt, including source and metric modeling, testing, documentation, and semantic layer design.
• Experience with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation that enables reliable AI-assisted querying (Omni, Looker, or equivalent).
• Proven fluency with AI-native developer and analyst tooling (Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent) used in production analytical workflows.
• Experience automating recurring reporting deliverables (QBRs, board decks, client-facing dashboards) using AI or workflow tooling, not just building the underlying dashboard.
• Excellent written and verbal communication skills, with genuine comfort presenting data-driven narratives to external, non-technical audiences.

$190,000 - $220,000 a year

Role: Director, Client Data Science

Location: Remote, USA

Base Salary Range: $190,000 - $220,000 + bonus + benefits

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education.

About our benefits and perks:

✅ Remote-First Company

✅ Unlimited PTO

✅ Flexible & remote location

✅ Healthcare Coverage (Medical, Dental, Vision)

✅ 401k & bonus

✅ Registered Dietitian Sessions

Foodsmart is an Equal Opportunity Employer. It is our firm policy to extend equal employment and advancement opportunity to all applicants and employees without regard to race, color, national origin, citizenship status, religious creed, age, sex (including pregnancy, childbirth, breastfeeding, medical conditions related to pregnancy, childbirth and/or breastfeeding), gender, gender identity and expression, sexual orientation, marital status, disability (physical or mental) and/or a medical condition, genetic information, ancestry, veteran status or service in the uniformed services, and any other characteristic protected by applicable federal, state or local law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Foodsmart:

Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs.

Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money.

Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases.

At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:

👥 Customer First - You start with the member and work backwards.

🚀 Make It Happen - You act with urgency, use data, and hold high standards.

🤝 One Team - You collaborate with respect and commit as a group.

Whether you’re a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.

About the Role:

We’re looking for a Director, Member Data Science to own the analytics behind the entire path a member takes with Foodsmart, from first contact, through activation, to long-term retention.  You’ll partner closely with Marketing, Product, and Clinical Operations along the way.

This is a high-impact, domain-owning leadership role reporting to the VP of Analytics & Data Science. You’ll be the executive-facing voice on member funnel and retention performance, lead our experimentation and causal inference program, and build the attribution and lifecycle models that shape how Foodsmart invests across the member journey. You’ll partner directly with senior company leadership as the analytical voice understanding the member journey.

You’ll lead a small team while staying hands-on yourself. This is a meaningfully technical role, not a pure people-management seat: we need someone who can build and review the models directly, operate as a trusted thought partner to executive stakeholders, and coach the team toward increasingly independent ownership. As this area grows, we expect that growth to come from leverage, not just headcount: real scale will come from how well you and your team use AI agents and tooling to extend your reach. If you’re energized by getting more out of a small team through scale of impact rather than by managing a bigger one, this is built for you.

This is a full-stack data science leadership role. We’re not looking for a pure statistician or a pure analytics engineer. We need someone who operates across the entire analytical stack, from dbt source models and semantic layer design, to BI dashboards and self-service tooling, to predictive modeling, causal inference, and optimization work. At Foodsmart, durable insight requires owning the data foundation it sits on, and impactful models require the communication infrastructure to drive decisions. We expect this person to be strong across all of it, and to instill that same standard in the team they lead.

We’re a small, flat, fast-moving team that leans hard into AI-native tooling. We use Hex and its AI Agent for analysis, and Omni with deep context engineering to power stakeholder self-service. We’re actively expanding our use of Claude Code across our workflows, and we want someone who treats these tools as force multipliers for their own output and their team’s, not someone who sees analytics as a hand-cranked request queue.

You will:

• Own the analytical strategy for the end-to-end marketing funnel across both activation and retention: from marketable lives to lead generation to omni-channel engagement strategy, to visit completion, re-engagement, and the reactivation campaigns that bring lapsed members back into their care journey. This includes our call center function (outbound rep allocation, inbound referral scheduling, ZCC data) and member lifecycle (Customer.io journey performance).
• Own the product analytics domain across both activation and retention: onboarding funnel, sign-up conversion, in-app engagement through a member’s completed first appointment, and the ongoing booking and in-app experience that shapes whether members keep coming back. Partner with the product team as their embedded analytical lead, attending product cadences and co-owning the product analytics roadmap.
• Serve as the executive-facing owner of the member funnel and retention performance narrative: explaining why marketable lives, funnel conversion, initial visit completion, and retention moved, what levers drove the result, and what to double down on. Partner directly with senior leaders as the analytical voice for the member journey.
• Design and lead Foodsmart’s experimentation program across marketing, product, and retention, including test design, causal inference methods, readout discipline, and the intake process for stakeholder-driven test ideas. Own the StatSig implementation and serve as the internal expert on experiment instrumentation, StatSig configuration, and results interpretation.
• Own and evolve our attribution framework, including scheduling episode attribution, multi-touch attribution, and media mix modeling as Foodsmart’s channel portfolio grows.
• Partner with Clinical Operations leadership, whose Registered Dietitian network is a key driver of member retention.
• Own and evolve the dbt data models across marketing, product, and retention, from raw source modeling through metrics, ensuring data quality, test coverage, documentation, and a semantic layer that makes self-service trustworthy. This is a core craft expectation of this role, not a secondary responsibility.
• Engineer context into our semantic layer and BI environment (Omni) so that stakeholders and AI agents can reliably self-serve answers across the member journey. You treat context engineering (writing descriptions, defining metrics, curating what’s exposed) as a first-class part of your job.
• Lead and develop a small team: setting technical direction, reviewing work, coaching toward increasingly independent ownership of their part of the member journey, and helping the team find real leverage through AI tooling rather than doing more manual work.

You are:

• An operator who thrives in flat, fast-moving teams. You need minimal guidance to drive outcomes and default to taking ownership rather than waiting for direction.
• A domain-owning leader who is comfortable being the single point of accountability for a critical, company-level outcome and the executive-facing voice on its performance.
• A rigorous experimentalist who treats causal inference as a core craft, not a buzzword. You have a point of view on what makes a test trustworthy and how to teach causal thinking to business partners.
• A strategic partner who can translate a high-level business problem into a concrete analytical roadmap and influence senior leaders, including C-level executives, across product, marketing, clinical, and finance.
• A full-stack analytics practitioner, strong across analytics engineering (dbt, semantic layer), business intelligence and dashboarding, and data science (predictive modeling, causal inference, optimization). You don’t silo into pure stats/Python work, and you understand that durable insight requires owning the data foundation, not just the models on top of it.
• Deeply fluent with AI-native tooling. You see tools like Claude, Claude Code, and in-BI AI agents as a core part of how you and your team get leverage, and you have a point of view on how to engineer the context and semantic layer that makes AI-driven self-service trustworthy.
• Genuinely energized by scaling a small team’s output through AI rather than through more headcount. You’d rather solve “how do we get 3x the leverage out of this team” than “how do I get budget for 2 more hires,” and you want the person you manage to feel that same energy.
• A capable, motivated people leader who wants to stay predominantly hands-on. This is not a pure management-track role. We’re looking for someone who leads by building and reviewing alongside their team, not by stepping back from the work.

You have:

• Bachelor’s degree, ideally in a quantitative or technical field (e.g., Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master’s degree is a plus.
• 12+ years of experience in data science, analytics, or experimentation, with a proven track record of driving measurable impact on growth, acquisition, or lifecycle outcomes. 4+ years leading teams.
• Experience partnering directly with senior and executive stakeholders (VP-level and above) as the analytical voice for a business area, ideally including some experience leading or mentoring other data scientists or analysts.
• Deep, hands-on expertise in experimentation and causal inference. You have designed and interpreted rigorous tests (A/B, quasi-experimental, geo-lift) and can defend methodology choices under scrutiny.
• Strong background in attribution modeling (scheduling episode, multi-touch attribution, media mix modeling) and a clear point of view on the tradeoffs between approaches.
• Experience owning lifecycle analytics, ideally including hands-on work with Customer.io, Braze, Iterable, or a similar platform.
• Hands-on experience with product analytics instrumentation: event tracking, funnel analysis, and experimentation platforms (Statsig, Amplitude, Mixpanel, or equivalent). You have a point of view on what good product measurement infrastructure looks like.
• Experience with call center or contact center analytics is a plus. We leverage Zoom Contact Center (ZCC) for our outbound and inbound scheduling teams.
• Expert-level proficiency in SQL and strong proficiency in Python (pandas, scikit-learn, statsmodels, etc.).
• Deep, production-level experience with dbt, including source and mart-layer modeling, testing, documentation, and semantic layer design. You have owned a dbt project end-to-end, not just contributed to one.
• Experience with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation that enables reliable AI-assisted querying (Omni, Looker, or equivalent).
• Proven fluency with AI-native developer and analyst tooling (Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent) used in production analytical workflows.
• Experience working in marketplace business models and/or adjacent to healthcare, Medicaid, or a similarly regulated domain is a plus but not required.
• Excellent communication skills. You can distill complex models, test results, and funnel diagnostics into clear, actionable recommendations for executive, product, and marketing-leadership audiences.

$190,000 - $220,000 a year

Role: Director, Member Data Science

Location: Remote, USA

Base Salary Range: $190,000 - $220,000 + bonus + benefits

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education.

About our benefits and perks:

✅ Remote-First Company

✅ Unlimited PTO

✅ Flexible & remote location

✅ Healthcare Coverage (Medical, Dental, Vision)

✅ 401k & bonus

✅ Registered Dietitian Sessions

Foodsmart is an Equal Opportunity Employer. It is our firm policy to extend equal employment and advancement opportunity to all applicants and employees without regard to race, color, national origin, citizenship status, religious creed, age, sex (including pregnancy, childbirth, breastfeeding, medical conditions related to pregnancy, childbirth and/or breastfeeding), gender, gender identity and expression, sexual orientation, marital status, disability (physical or mental) and/or a medical condition, genetic information, ancestry, veteran status or service in the uniformed services, and any other characteristic protected by applicable federal, state or local law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.