Senior Data Product Manager – Forecasting & AI

Genentech

San Francisco (CA)

Hybrid

USD 140,000 - 261,000

Full time

4 days ago
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Job summary

Genentech is seeking a Senior Data Product Manager - Analytics & AI to drive forecasting data products and AI strategy across the organization. You will partner with leadership to define roadmaps and manage cross-functional execution, mentoring agile squads and aligning with enterprise objectives.

You will work with Data Scientists, AI/ML Engineers, and Analysts to evangelize the forecasting vision, ensure data quality, and maximize ROI while maintaining compliance with data governance

Qualifications

  • Bachelor's degree or equivalent in a related field.
  • 5+ years in product management, data management, AI, or software development.
  • Strong fluency with big data tech and cloud platforms (AWS, GCP, Azure).
  • Knowledge of semantic layer concepts and FAIR data principles.
  • Experience with data observability and governance tools (Informatica DQ, Collibra, Monte Carlo).
  • Excellent communication and ability to influence senior stakeholders.

Responsibilities

  • Develop and communicate forecasting data product vision aligned with business goals.
  • Lead end-to-end lifecycle for forecasting and AI data products; manage product backlog.
  • Collaborate with Data Scientists, AI/ML Engineers, and Analysts; drive adoption and governance.

Skills

Data strategy
Data governance
Data observability
Communication
Agile collaboration

Education

Bachelor's degree

Tools

Informatica Data Quality
Collibra
Monte Carlo

Job description

Genentech is seeking a Senior Data Product Manager - Analytics & AI to drive forecasting data products and AI strategy across the organization. You will partner with leadership to define roadmaps and manage cross-functional execution, mentoring agile squads and aligning with enterprise objectives.

You will work with Data Scientists, AI/ML Engineers, and Analysts to evangelize the forecasting vision, ensure data quality, and maximize ROI while maintaining compliance with data governance

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