Sr. Manager, Data Science
Listed on 2026-07-03
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IT/Tech
Data Analyst, Data Scientist, AI Engineer (Applied/Software), Data Science Manager
The Opportunity
The Sr. Manager of People Data Science will lead and develop the data science function within the Employee Experience team. This role will report to the Head of People Analytics and will lead a team of data scientists to derive insights and recommendations that inform strategic people-related decisions.
What you’ll DoTechnical & Strategic Leadership
- Set the technical vision and quality bar for advanced analytics and AI across People Analytics
- Guide the team’s methodological standards for data analysis, AI usage, and predictive modeling
- Scale insights through automation, tooling, and reusable frameworks
- Build predictive models to forecast workforce outcomes and inform people decisions
- Lead complex analytical deep dives that inform talent, culture, and organizational effectiveness decisions
- Automate insight extraction and recurring analyses (e.g., via Python or R)
- Partner with HR and business leaders to connect insights to goals and strategies
- Communicate recommendations to executives in ways that drive action
- Translate complexity into clarity for non-analytical partners
- Lead, develop, and mentor a team of data scientists, building capability in statistical methods and partner influence
- Foster a culture of innovation, inclusion, and practical impact
- 8+ years in applied data science (ideally People Analytics), with 3-5+ years in a leadership role
- Proficiency in SQL, Python, and/or R for querying, statistical analysis, and predictive modeling
- Experience with people data (survey, HRIS, behavioral) in an applied setting
- Expert knowledge of advanced statistical methods (e.g., causal inference, predictive modeling, HLM, network analysis, text/NLP, ML)
- Skill in influencing senior leaders through clear communication of complex insights
- Track record of establishing methodological standards or technical governance
- Ability to collaborate across functions and levels
- Proven ability to lead and develop high-performing teams
- Commitment to ethical use of employee data, privacy, fairness, and responsible AI
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
Expected Pay RangeThe U.S. pay range for this position is $161,700 – $303,300 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $209,400 - $303,300. In Washington, the pay range for this position is $197,100 - $285,450.
State‑Specific NoticesCalifornia:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Equal Employment OpportunityAdobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.
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