Senior Data Science / AI Product Manager

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 ex

pert, 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 Senior Data Science / AI Product Manager is responsible for shaping and executing product roadmaps that integrate artificial intelligence and machine learning to address key business challenges and deliver customer value. This role involves close collaboration with cross-functional teams to prioritize product backlogs, translate user feedback into actionable requirements, and ensure successful delivery of AI/ML features that are both technically feasible and aligned with market needs. TheSenior Data Science / AI Product Manager plays a critical role in driving product innovation by identifying integration opportunities, managing stakeholder and consultant collaboration, and supporting the development of business cases that align with strategic objectives and digital-forward transformation efforts. 

Key Responsibilities 

• Collaborate with  cross-functional teams (e.g., Data Science, Data, Informatics (IX)) and the Director, Analytical Workbench to lead the development of the Analytic Workbench product vision and roadmap in alignment with enterprise analytics strategy for capabilities such as a data science/AI workbench, analytics co-pilot(s), coding assessments, and visualization tools.

• Collect and analyze user feedback, market trends, and data insights (including User Acceptance Testing results) to inform product requirements and feature enhancements.

• Support the ideation, development, and launch of Analytical Workbench product features, such as data exploration, preparation, model training, model evaluation, model validation, visualization, collaboration tools, and deployment that address customer needs and drive business impact.

• Facilitate effective communication about product value propositions and progress with internal teams and customers, ensuring that products are aligned with market demands and technical feasibility.

• Contribute to the development and execution of AI/ML product roadmaps based on user feedback, research, and business impact, ensuring features are delivered on schedule.

• Identify opportunities to integrate AI/ML into existing Genentech platforms, addressing articulated customer needs in collaboration with technical teams.

• Serve as a primary point of contact for collecting business feedback and user enhancement requests, ensuring they are accurately translated into actionable requirements.

• Work closely with Technical Product Managers and other stakeholders to ensure effective handoff from product design to implementation and validate successful delivery against product objectives.

• Support the creation and refinement of business cases and key success metrics for the Analytical Workbench, aligning tactical initiatives with overall product objectives.

• Comply with all laws, regulations and policies that govern the conduct of Genentech activities.

Who You Are

Minimum Candidate Qualifications & Experience

• Bachelor’s in Computer Science, Data Science, Engineering, or an equivalent technical field.

• 5 years of combined experience in product management, data science, AI, software development or equivalent experience.

• De