Hiring: Senior Data Product Manager - Analytics & AI Company: Genentech Location: South San Francisco, CA Job Posted Time: 2026-09-17 08:45:11 Employment Type: Hybrid Target Skills & Keywords : AWS, Agile, Azure, Data Mesh, GCP, GDPR, HIPAA, Informatica, Product Management, SQL About the job Experience: •5+ years of combined experience in product management, data management, AI, software development, or equivalent experience, with a proven track record of driving strategic and tactical execution. Required Skills: •As a Senior Data Product Manager - Analytics & AI •Forecasting Product Lifecycle Leadership: Lead end-to-end execution from strategy through implementation for a complex portfolio of Forecasting & AI Data Products. Maintain and prioritize the product backlog to ensure it efficiently addresses both predictive forecasting needs and single or multi-business enterprise AI use cases. •Stakeholder & Demand Management: Act as the primary strategic liaison between business stakeholders and the data product technology team. Align stakeholders across multiple organizational levels, manage complex demand requests, and negotiate prioritization. •Data Quality & Standards Frameworks: Establish and maintain a comprehensive enterprise data quality framework. Define key metrics, identify root-cause issues, and partner with data stewards and engineers to ensure visibility into data integrity and performance. •Architectural Guidance: Guide cross-functional teams in adhering to modern data architecture principles, including data mesh, data fabric, Semantic Layer concepts, and FAIR (Findable, Accessible, Interoperable, Reusable) data standards to ensure maximum scalability, including leading build-vs.-buy evaluations for data tooling. •Performance & Value Optimization: Monitor system health, adoption rates, and product usage data in collaboration with Business and IT partners. Drive product innovation through structured experimentation and data-driven decision-making to continuously maximize ROI. •Compliance & Governance: Oversee compliance with overarching data governance policies and regulatory standards (e.g., HIPAA, GDPR). Partner effectively with Legal, Compliance, and Privacy teams to ensure full adherence and mitigate risk. Qualifications: •You possess a Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field. •You have 5+ years of combined experience in product management, data management, AI, software development, or equivalent experience, with a proven track record of driving strategic and tactical execution. •You demonstrate strong technical fluency with big data technologies, relational and non-relational databases, SQL, and cloud-based data platforms (e.g., AWS, GCP, Azure) to effectively inform product and architectural decisions. •You possess strong working knowledge of Semantic Layer concepts, data lifecycle management, enterprise data governance frameworks, and FAIR data principles. •You are proficient in modern data observability, data quality, governance, and lineage tools (e.g., Informatica Data Quality, Collibra, Monte Carlo). •You have exceptional communication and presentation skills, with a demonstrated ability to evangelize product vision, navigate ambiguous corporate environments, and influence senior stakeholders without direct authority. •You have proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards. •Advanced degree such as an MBA or related graduate-level qualification. •Professional experience driving digital product operations within life sciences, or other complex, data-rich environments (e.g., technology, finance, CPG, or management consulting). •Relevant certifications or advanced training in agile product management, modern cloud data architecture, or enterprise data governance. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!