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The Position
Principal 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 team members foster 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 Principal Data Science / AI Product Manager at Genentech is responsible for driving the development and execution of next-generation AI/Machine Learning (ML) product features that enhance Genentech's ability to anticipate, personalize, and automate customer engagement. Focused on Predictive and Agentic AI-core capabilities enabling proactive insights and intelligent recommendations-this role plays a pivotal part in advancing Genentech's digital transformation. This position partners closely with cross-functional teams and product leaders to shape digital-forward roadmaps, translate user feedback and evolving business needs into impactful product innovations, and build compelling business cases for enterprise-scale AI investments. With a strong focus on user-centric design and strategic foresight, this role leads the integration of predictive and agentic AI into enterprise platforms, identifies latent customer needs, and ensures these AI capabilities become central drivers of fast, adaptive, and personalized decision-making across CMG. Key Responsibilities
Drive the overarching AI/ML product vision and strategy for Predictive and Agentic AI, leading the innovation of intelligent, forward-looking features that support varying CMG use cases across the customer journey. Collaborate with cross-functional teams (e.g., Data Science, Informatics/IT, Commercial Strategy) and the Director, Predictive / Agentic AI - Data Science/AI Product Owner and Executive Director, Predictive/Agentic AI Suite to shape digital-forward product roadmaps and maintain a prioritized, stack-ranked product backlog. Develop and own comprehensive AI/ML product roadmaps for Predictive and Agentic AI based on deep user research, market trends, business value, and advanced analytics insights-ensuring a personalized and proactive user experience. Collect and synthesize user feedback, real-world usage data, and market signals (including UAT and model performance metrics) to inform product requirements and continuously enhance predictive and agentic capabilities. Support the ideation, development, and launch of AI/ML-driven features that power next-best actions, intelligent automation, and personalized recommendations-delivering measurable impact for business users and customers alike. Clearly communicate the value proposition and progress of Predictive and Agentic AI capabilities to internal stakeholders, ensuring alignment with user needs, enterprise priorities, and technical feasibility. Partner closely with the Director, Predictive / Agentic AI - Data Science / AI Product Owner and Executive Director, Predictive/Agentic AI Suite to lead the development of business cases for new and enhanced capabilities that embed AI into Genentech's integrated customer experience model. Identify and capitalize on unspoken or emerging customer needs by embedding agentic intelligence into digital platforms-shaping strategy, influencing enterprise direction, and accelerating Genentech's transformation. Manage external (US and offshore) consultants to ensure delivery of high-quality, scalable, and ethical AI solutions that integrate seamlessly with enterprise systems and platforms. Orchestrate collaboration across CMG business functions, IT, and enterprise product teams to ensure integrated execution, responsible AI governance, and transformative outcomes at scale. Comply with all laws, regulations, and company policies that govern the conduct of Genentech activities.
Who You Are Minimum Candidate Qualifications & Experience
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or an equivalent technical field. 8 years of combined experience in product management, data science, AI, software development or equivalent experience. Experience owning the entire Data Science /AI product lifecycle-from ideation and strategy to market execution and postlaunch optimization-ensuring comprehensive governance and measurable business outcomes. Proven experience in setting and driving the AI/ML product vision and strategy at an enterprise level, with a focus on transformative digital initiatives. Demonstrated ability to engage, influence, and communicate with senior leaders and executive stakeholders. Experience managing complex, multiunit product roadmaps and integrating AI/ML initiatives across varying business segments. Solid background in leading highimpact experimentation efforts and using datadriven insights to continuously innovate product offerings. Demonstrated experience researching AI/ML industry trends and integrating insights into product strategy and roadmaps. Ability to write detailed, technical product specifications and present effectively to both technical and nontechnical audiences. Strong understanding of agile methodologies such as Kanban and Scrum. Ability to innovate and foster experimentation to improve product capabilities. Robust knowledge of enterprise architectures and solutions (e.g., SaaS, PaaS, IaaS). Relevant certifications in product management, machine learning, data science, or related disciplines.
Additional Desired Candidate Qualifications & Experience
Advanced degree or equivalent experience (e.g., MBA or related graduate-level qualification). Experience in healthcare, pharmaceutical, or other highly regulated industries. Demonstrated ability to mentor and coach crossfunctional teams and to lead by example through a practice-based apprenticeship model. Subject matter expertise in product management, with a history of innovating and transforming digital product capabilities. Experience with tools and platforms used in citizen data science, automated analytics, and collaborative modeling environments. Familiarity with performance monitoring, platform scalability strategies, and cost optimization. Hands-on exposure to user research or design-thinking approaches to improve data tool usability and effectiveness.
Location
The expected salary range for this position based on the primary location of South San Francisco, CA is $207,480 - $385,320.. 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 #BoFTSAI 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.
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Genentech
relocation assistance
May 12, 2025