Director, Data Science/AI Product Owner (Predictive AI/ Agentic AI)

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, 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.

Job Summary

The Director, Data Science/AI Product Owner (Predictive AI/ Agentic AI) is responsible for guiding and enhancing the Predictive AI/Agentic AI Platform Suite to support data-driven decision-making. This role involves defining the platform’s vision, strategy, and roadmap, ensuring alignment with enterprise priorities to drive business impact. This Director, Data Science/AI Product Owner works closely with senior leaders, technical teams, and business stakeholders to integrate predictive capabilities, manage resources effectively, and promote adoption. 

Key Responsibilities

• Shape the vision and product standards for Predictive AI/Agentic AI solutions, leveraging knowledge of industry trends and ensuring alignment with the organization's AI strategy.

• Drive the development and execution of product roadmaps by balancing business needs, technical capabilities, and regulatory considerations.

• Develop business cases to drive experimentation and innovation in AI applications, identifying opportunities for automation and augmentation within the enterprise.

• Define target users in collaboration with Analytics partners, ensuring AI-driven solutions address user needs while maintaining compliance with ethical AI best practices.

• Expertly drive alignment of roadmaps and initiatives with applicable Product Managers, Product Owners, and the Executive Director, Predictive AI / Agentic AI to meet user needs.

• Serve as the central owner of AI product lifecycles, overseeing strategic planning, execution, and adoption to maximize business impact and efficiency gains.

• Evangelize the role of AI-driven products, communicating their value proposition and strategic impact to senior leaders and enterprise stakeholders.

• Drive prioritization and stakeholder alignment across AI product development, managing cross-functional collaboration and ensuring AI products meet business and technical objectives.

• Collaborate with Technical Product Managers to ensure AI solutions align with enterprise architecture, governance standards, and technical feasibility.

• Partner with other Business Product Owners to integrate AI capabilities seamlessly across digital ecosystems, ensuring interoperability and scalability.

• Work closely with business stakeholders and technical teams to construct and maintain a prioritized, stack-ranked AI product backlog.

• Ensure effective collaboration with different teams to drive knowledge sharing, best practices, and efficiencies across AI initiatives.

• Collaborate with customer experience professionals to ensure AI-powered products deliver intuitive, user-centric experiences with measurable value.

• Accountable for delivering AI-driven products that meet business objectives through stakeholder feedback, iterative development, and robust performance measurement.

• Lead the adoption strategy for AI-enabled solutions, partnering with training and change management teams to drive user engagement and sustained impact.

• Drive definition of AI-related business requirements, ensuring adherence to industry and Genentech governance frameworks.

• Coordinate with measurement