Principal Data Science/AI Product Manager

The PositionWhy GenentechWe’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.The OpportunityAs a Principal Data Science/AI Product Manager, you will drive the development and execution of cutting-edge AI/ML product features that power Genentech’s customer engagement strategies. Working across Commercial, Medical, and Government Affairs (CMG), you will translate user feedback and market trends into innovative, automated solutions that deliver hyper-personalized customer experiences and smarter business decision-making.Drive the overarching AI/ML product vision and strategy across classical ML and Generative AI to support diverse business use cases.Collaborate with cross-functional teams, including Data Science, IT, and Commercial Strategy, to build digital-forward roadmaps and manage a high-impact product backlog.Develop comprehensive AI product roadmaps rooted in deep user research, market trends, and advanced analytics.Synthesize real-world usage data, user feedback, and model performance metrics to continuously iterate and enhance AI capabilities.Launch AI/ML-driven features powering next-best actions, intelligent automation, and personalized recommendations for enterprise scale.Partner with senior technical and business leaders to build robust business cases for new AI investments, ensuring responsible AI governance.Who you areYou have a bachelor's degree in a relevant field of study with 8+ years of combined experience across product management, data science, AI, or software development.You possess hands-on experience with modern or classical AI/ML techniques (Deep Learning, NLP, GenAI) and proficiency in at least one language like Python, R, Scala, or SQL.You have a proven track record of writing detailed Product Requirements Documents (PRDs) and technical specs using Scrum or Kanban methodologies.You have successfully managed the entire AI product lifecycle from ideation and enterprise strategy through to post-launch optimization and governance.You have demonstrated ability to engage, influence, and align with senior executives.PreferredAdvanced degree (M.S., MBA, or Ph.D.) with a specialization in AI, Data Science, or Product Management.Previous experience navigating product management within healthcare, pharmaceuticals, or other highly regulated environments.Proven ability to mentor and coach cross-functional product teams through a practice-based apprenticeship model.Familiarity with performance monitoring, cloud architecture cost optimization, and citizen data science environments.LocationThis role is based in South San Francisco and offers a hybrid schedule working 3 day per week on campusNo relocation benefits are available for this postingThe expected salary range for this position based on the primary location of CA is $217,400 - $403,700. 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.Job SummaryJob number: 202606-116485Date posted : 2026-07-27Profession: Data Science & AI / MLEmployment type: Full time