Director, AI Product Management

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.

Genentech’s Data, Digital, and Analytics (DDA) team is dedicated to solving complex healthcare challenges and improving patient outcomes. DDA empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.

DDA fosters a unified understanding of customers, actions, and outcomes by transforming the business insight supply chain from the traditional reactive service model to a modern proactive product model, which integrates analytics and insights seamlessly into CMG’s evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.

In DDA, 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 diverse, inclusive team that reflects the world we serve, thriving in a welcoming culture built on collaboration and innovation.

The Opportunity

The Director, AI Product Management is responsible for leading, managing, and advancing the AI Platform Suite to drive data-driven decision-making across CMG. 

This role defines the platform suite vision, strategy, and roadmap, ensuring alignment with enterprise priorities to maximize business impact. The Director, AI Product Management collaborates with senior leaders, technical teams, and business stakeholders to integrate capabilities, optimize resource allocation, and drive adoption. Additionally, they oversee execution, measure impact, and champion the platform suite’s role in enabling scalable analytics solutions across the organization.

• Strategy & Vision: Define the vision and product standards for AI products, aligning with the organizational AI strategy, industry trends, and ethical frameworks.

• Product Development & Roadmap: Drive the development and execution of AI product roadmaps, balancing business requirements, technical feasibility, and regulatory compliance, and establishing CI/CD mechanisms for foundational products.

• Ownership & Lifecycle Management: Serve as the central owner for the AI product lifecycle, overseeing strategic planning, development, adoption, and performance measurement, including developing business cases for strategic experimentation.

• Stakeholder & Communication: Lead stakeholder alignment for the stacked AI product backlog, resolving conflicts, and effectively communicating the value proposition, strategic impact, and roadmaps to senior leadership.

• Integration & Partnership: Partner closely with RDT and technical teams to ensure seamless integration of AI capabilities across digital ecosystems, adhering to enterprise architecture and ensuring platform interoperability and scalability.

• Adoption & Compliance: Lead the adoption strategy in collaboration with customer experience and change management teams, while ensuring continuous compliance with all governing laws and regulations.

• Team Leadership & Culture: Lead, mentor, and manage Data Science product talent, cultivate an inclusive and innovative team culture, and dynamically allocate resources to execute strategic business priorities.

Who You Are

• You have a Bachelor’s degree in Data Science, Information Systems, Business Analytics, Computer Science, Business, or a related technical field.

• You have a minimum of 8 years of combined professional experience in Product Management, Data Science, AI, or Software Development.

• You have a proven ability to own and manage the full product lifecycle, from visioning and roadmap creation to execution and impact measurement.

• You have a strong understanding of Generative AI, LLMs, Predictive/Agentic AI, Data Science concepts, underlying machine learning models, and automation platforms, coupled with fluency in data systems and technology platforms to inform strategic product decisions.

• You have strong strategic thinking, problem-solving skills, and leadership/team management abilities, with experience in coaching/mentoring and adapting to ambiguous environments (e.g., working in an Agile sett