Senior Data Product Manager, Analytical Data Products

Why Genentech ​​​​​​​We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.

Our Data, Digital,and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Digital and Analytics empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts. Data, Digital and Analytics fosters a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos. In Data, Digital and Analytics, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.

As a Senior Data Product Manager, Analytical Data Products, you will drive the development, execution, and optimization of strategic data products across the organization. Reporting directly to the Director for Analytical Data Products, you will operate as a fully autonomous product leader—defining the product vision, leading cross-functional execution, and ensuring alignment with enterprise-wide objectives. You will elevate our data capabilities by championing advanced frameworks, mentoring agile squads, and delivering scalable, high-impact data solutions that drive measurable business value.

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