Senior Data Product Manager, Analytical Data Products

The Position

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.

Who We Are

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.

The Opportunity

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.

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.

Location

• This role is based in South San Francisco and offers a hybrid schedule, working 3 days per week on campus

• No relocation benefits are available for this posting

The expected salary range for this position based on the primary location of South San Francisco, CA is $140,300 - $260,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job‑related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.