Senior Data Product Manager, Analytical Data Products

About the role

Genentech's Data, Digital and Analytics (DDA) team works with Commercial, Medical and Government Affairs partners to turn data, analytics, business products and AI/ML into fast, targeted actions. As a Senior Data Product Manager for Analytical Data Products, you report directly to the Director for Analytical Data Products and act as a fully autonomous product leader who defines the product vision, leads cross-functional execution and champions advanced data frameworks. The role is based in South San Francisco on a hybrid schedule of three days per week on campus.

Key responsibilities

• Define and communicate a value-driven product vision and roadmap, including features, timelines and cross-product dependencies
• Lead end-to-end execution of a portfolio of analytical data products and maintain and prioritize the product backlog
• Evaluate the product operating model and evangelize the product to business leaders, data scientists, analysts and engineers
• Act as the main liaison between business stakeholders and the data product technology team, managing complex demand and negotiating prioritization
• Establish and maintain an enterprise data quality framework, defining key metrics and partnering with data stewards and engineers
• Guide teams on modern data architecture principles, including data mesh, data fabric, semantic layer and FAIR data standards, and lead build-vs-buy evaluations for data tooling
• Monitor system health, adoption and usage, run structured experiments and drive data-driven decisions to maximize ROI
• Oversee compliance with data governance policies and regulations such as HIPAA and GDPR, working with Legal, Compliance and Privacy

Required profile

• Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science or a related field
• 5+ years of combined experience in product management, data management, AI, software development or equivalent, with a track record of strategic and tactical execution
• Experience collaborating with Legal, Compliance and Privacy teams
• Preferred: advanced degree (e.g. MBA), digital product operations experience in life sciences or other complex data-rich environments, and certifications or training in agile product management, cloud data architecture or enterprise data governance

Required skills

• Big data technologies, relational and non-relational databases, SQL and cloud platforms (AWS, GCP, Azure)
• Semantic layer, data lifecycle management, enterprise data governance and FAIR data principles
• Data observability, data quality, governance and lineage tools such as Informatica Data Quality, Collibra and Monte Carlo

What we offer

• Expected salary range of $140,300 - $260,500 depending on experience, qualifications and location; a discretionary annual bonus may be available
• Hybrid schedule of three days per week on campus
• No relocation benefits available for this posting