Principal AI Product Manager

Roche•South San Francisco, CA

21h•Hybrid

About The Position

The Principal AI Product Manager in Genentech is responsible for driving the development and execution of cutting-edge AI/Machine Learning (ML) product features that elevate Genentech’s customer experience and deliver measurable business impact. This role plays a critical 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 market trends into actionable product enhancements, and build compelling business cases for innovation. With a strong focus on user-centric design and strategic foresight, this role leads the integration of AI/ML into enterprise platforms, identifies unmet customer needs, and ensures our products evolve into a central enabler of fast, targeted decision-making. The role also supports high-quality solution delivery through external team management, mentors peers to foster organizational expertise, and ensures seamless collaboration across business and technology functions for enterprise-wide success.

Requirements

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 post‑launch 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, multi‑unit product roadmaps and integrating AI/ML initiatives across varying business segments.
Solid background in leading high‑impact experimentation efforts and using data‑driven 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 non‑technical 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.

Nice To Haves

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 cross‑functional 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.

Responsibilities

Drive the overarching AI/ML product vision and strategy for our products, leading the innovation of our AI/ML and analytics platform to support varying CMG use cases across the customer journey.
Collaborate with cross-functional teams (e.g., Data Science, Data, Informatics/IT) and the Director, AI Product Management to shape digital-forward product roadmaps and maintain a prioritized, stack-ranked product backlog for capabilities such as a data science/AI workbench, analytics co-pilot(s), coding assessments, and visualization tools.
Develop and own comprehensive AI/ML product roadmaps for our products based on deep user research, market trends, business impact, and data insights—ensuring a differentiated and exceptional user experience.
Collect and analyze user feedback, market signals, platform data, and UAT results to inform product requirements and drive meaningful feature enhancements within our products.
Provide a comprehensive set of tools for data scientists to perform their work throughout the AI/ML product lifecycle, enabling data exploration, preparation, model training, model evaluation, model validation, visualization, collaboration tools, and deployment.
Manage other AI applications that are used to drive and enable business use cases in a federated model across Genentech Commercial, Medical and Government Affairs (CMG); institute governance, standards, and best practices for the utilization of these AI applications.
Steward ethical AI guidelines, responsible AI principles, and fairness and bias mitigation process specific to Genentech Commercial, Medical, and Government Affairs (CMG).
Facilitate effective communication about our products' value proposition and progress with internal teams and end users, ensuring alignment with both market demands and technical feasibility.
Partner closely with the Director, AI Product Manager to lead the development of business cases for integrating AI/ML into new and existing capabilities, aligned with Genentech’s integrated customer experience transformation.
Identify and capitalize on unmet or unarticulated user needs by embedding AI/ML functionality into our products, shaping enterprise strategy and accelerating digital transformation.
Manage external (US or offshore) consultants, ensuring delivery of high-quality, scalable solutions that align with platform architecture and user needs.
Orchestrate collaboration across business, IT, and enterprise product teams to ensure integrated execution, strong governance, and transformative outcomes across CMG.
Comply with all laws, regulations, and company policies that govern the conduct of Genentech activities.