Principal Data Science/AI Product Manager

TalentBurst•South San Francisco, CA

23h•Onsite

About The Position

The Principal Data Science/AI Product Manager at Genentech is responsible for driving the development and execution of cutting-edge AI/ML product features that empower Genentech's customer engagement strategies and deliver transformative business impact. This role is central to advancing Genentech's digital transformation by integrating AI/ML capabilities into key platforms, enabling proactive, intelligent decision-making and hyper-personalized customer experiences across Commercial, Medical, and Government Affairs (CMG). In close collaboration with cross-functional teams, including data science, engineering, IT, and product leaders, the Principal Product Manager will shape the product vision and roadmap for AI/ML capabilities. They will translate user feedback and market trends into innovative AI-driven features that support smarter decision-making and automation. This role also involves building strong business cases for new AI investments, ensuring that solutions meet user needs and deliver measurable, scalable impact. With a focus on user-centric design, ethical AI principles, and strategic foresight, the Principal Product Manager ensures that AI/ML capabilities become key enablers of Genentech's integrated customer experience transformation and digital future.

Requirements

Bachelor's degree in business, data science, engineering, or a related field.
8 years of combined experience in product management, data science, AI, software development or equivalent experience.
Demonstrated hands-on experience with modern or classical ML/AI techniques (e.g., Deep Learning, NLP, Generative AI) and proficiency in at least one industry-standard programming language (e.g., Python, R, Scala, SQL).
Demonstrated experience writing detailed Product Requirements Documents (PRDs) and leveraging agile methodologies to drive AI/ML feature delivery, focusing on user needs and measurable business impact.
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 various 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 (M.S., MBA, or related field) with specialization in AI, Data Science, or product management.
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 AI products (classical ML and Gen 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, AI Product Owner to shape digital-forward product roadmaps and maintain a prioritized, stack-ranked product backlog.
Develop and own comprehensive AI product roadmaps based on deep user research, market trends, business value, and advanced analytics insights—ensuring personalized, intelligent, and proactive user experiences.
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 AI 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.
Clearly communicate the value proposition and progress of AI/ML capabilities to internal stakeholders, ensuring alignment with user needs, enterprise priorities, and technical feasibility.
Partner closely with the Director, AI Product Owner and Executive Director of AI Technical Delivery Team to lead the development of business cases for new and enhanced AI/ML product capabilities that embed AI into Genentech's integrated customer experience model.
Identify and capitalize on unspoken or emerging customer needs by embedding AI/ML capabilities into digital platforms—shaping strategy, influencing enterprise direction, and accelerating Genentech's digital transformation.
Manage external (US and offshore) consultants to ensure the 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.