Sr. Manager, People Data Science

Adobe Adobe · Enterprise · San Jose, CA +2

This role leads the data science function within the Employee Experience team, focusing on advanced analytics and AI to derive insights and recommendations for strategic people-related decisions. The manager will guide methodological standards, build predictive models, and influence HR and business leaders, while also leading and developing a team of data scientists. Emphasis is placed on ethical data use, privacy, fairness, and responsible AI.

What you'd actually do

  1. Set the technical vision and quality bar for advanced analytics and AI across People Analytics
  2. Guide the team's methodological standards for data analysis, AI usage, and predictive modeling
  3. Scale insights through automation, tooling, and reusable frameworks
  4. Build predictive models to forecast workforce outcomes and inform people decisions
  5. Lead complex analytical deep dives that inform talent, culture, and organizational effectiveness decisions

Skills

Required

  • 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
  • Proven ability to lead and develop high-performing teams

Nice to have

  • Ability to collaborate across functions and levels

What the JD emphasized

  • technical vision and quality bar for advanced analytics and AI
  • methodological standards for data analysis, AI usage, and predictive modeling
  • Track record of establishing methodological standards or technical governance
  • Commitment to ethical use of employee data, privacy, fairness, and responsible AI

Other signals

  • lead data science function
  • advanced analytics and AI
  • predictive modeling
  • ethical use of employee data, privacy, fairness, and responsible AI