Senior Data Product Manager, Analytical Data Products

Key Responsibilities

• Product Strategy & Vision: Develop and communicate a clear, value-driven product vision that aligns with Genentech's broader organizational objectives. Partner with leadership to define comprehensive data product roadmaps, including features, timelines, and cross-product dependencies.
• Product Lifecycle Leadership: Lead end-to-end execution from strategy through implementation for a complex portfolio of Analytical Data Products. Maintain and prioritize the product backlog to ensure it efficiently addresses both single and multi-business enterprise use cases.
• Agile Collaboration, Evangelism & Adoption: Champion the product operating model. Actively engage with business leaders and technical end-users (e.g., Data Scientists, Analysts, and Engineers) to evangelize the product vision, drive user adoption, foster trust, and lead operational improvements within cross-functional data squads.
• 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.

Who You Are

• 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.

Preferred Qualifications

• 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.
• Experience with customer data strategy, enterprise omnichannel/digital marketing solutions, or complex CRM systems.
• Experience leading enterprise data or systems projects to establish best practices, leveraging advanced knowledge of workflow tools and automation systems.