Director, Data Product Owner - AI & Digital 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, Analytics, and AI team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Analytics, and AI 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, Analytics, and AI 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, Analytics, and AI, 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

The Director, Data Product Owner is responsible for development, management and adoption of robust Data products across Genentech, in which this role will shape and implement the evolving data strategy, as it relates to management and usage of customer data across different functions including Commercial, Medical Affairs & Govt. Affairs. As a subject matter expert, the individual will work closely with stakeholders to understand requirements and recommend appropriate solutions. This person will be required to forge strong relationships with stakeholders & partners to inform, gain alignment, unlock & solve complex business challenges, and influence the data product roadmap. This person will closely work with a host of internal partners, including affiliate business team, compliance and regional IT, as well as external data vendors. 

• Strategic Vision & Roadmap: Define and communicate a value-driven data product vision and strategy that aligns with Genentech’s organizational goals, digital transformation, and customer-centricity while staying ahead of industry trends.

• End-to-End Product Lifecycle: Manage the data product lifecycle from conception to optimization, including maintaining backlogs, prioritizing use cases, and monitoring performance metrics to ensure consistent business value.

• Stakeholder Liaison & Advocacy: Act as the primary bridge between business leaders, technical teams, and executive stakeholders to synthesize complex needs into actionable data requirements and foster trust in data solutions.

• Data Governance & Standards: Establish and enforce rigorous frameworks for data quality, metadata management, and security, ensuring full compliance with highly regulated standards such as HIPAA and GDPR.

• Technical Leadership & Architecture: Guide cross-functional teams in adhering to modern architectural principles—specifically Data Mesh and Data Fabric—to ensure scalable, production-ready, and seamless system integrations.

• People Management & Culture: Lead, mentor, and develop a high-performing product team, overseeing inclusive hiring, resource allocation, and performance management to foster a culture of innovation and accountability.

• Collaborative Impact: Partner with engineers, IT, and vendors to drive best practices across the enterprise, contributing to Roche’s broader analytics initiatives and providing training to business partners.

Who You Are

• Bachelor’s degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.

• 8 years of combined experience in data-product management, data-based management, key pharmaceutical/biotechnology customer data assets like HCP/HCO/MCO mastering, Hierarchy and Affiliation management or equivalent experience.

• Domain Expertise in MDM: Proven expertise in Master Data Management (MDM) and its integration with industry-standard platforms such as Veeva CRM, marketing automation tools, and cloud data platforms, including experience managing specialized customer data vendors.

• Strategic Product Leadership: Demonstrated ability to own the full product lifecycle, from roadmap creation and budget management to tactical execution and impact measurement, usin