Lead and grow a distributed team of data scientists and data science leaders
Apply quantitative analysis and data mining to grow and improve product offerings
Shape long-term technical vision, strategy, and metrics for product quality and efficiency at scale
Lead product area insights and recommended action items with Meta Analytics leadership
From the employer’s posting
Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
Experience working effectively with multiple stakeholders and cross-functionally.
Preferred experience
Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Qualification wording
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
9. Experience working effectively with multiple stakeholders and cross-functionally.
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
12. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
13. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026
Employer says posted
Jan 9, 2025
Nov 3, 2026today
We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Pay
Higher than most similar jobs
$154K$225K
$253K–$314K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Time since we first saw it
Day 1
753
Early. Similar jobs usually come down between day 7 and day 53.
At Meta, jobs usually come down by about day 6.
From 7,916 similar postings that came down, and 405 of Meta’s. Coming down is not always a hire.
Meta is hiring
888 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Yes. We’ve followed 8 other Data Science Director jobs there since June 2026. All 8 are still up.
Menlo ParkStill up after 148 days, first seen Jun 9
Menlo ParkStill up after 68 days, first seen Aug 28
Menlo ParkStill up after 68 days, first seen Aug 28
BellevueStill up after 68 days, first seen Aug 28
SeattleStill up after 22 days, first seen Oct 14
SunnyvaleStill up after 2 days, first seen Nov 3
BellevueStill up after 2 days, first seen Nov 3
New YorkStill up after 2 days, first seen Nov 3
This jobUp 2 days so far, first seen Nov 3
Jun 9Today
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
**Summary:**
We’re looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
12. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
13. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
14. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
**Public Compensation:**
$253,000/year to $314,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.