AI & Digital Data Product Manager

Genentech • Daly City, CA

2d • $125,200 - $232,600 • Hybrid

About The Position

The Data, Digital and Analytics (DDA) team at Genentech is dedicated to solving complex healthcare challenges and improving patient outcomes. This team empowers business partners across Commercial, Medical, and Government Affairs (CMG) by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts. DDA 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. Within DDA, you will act as a trusted, objective advisor and expert, recommending critical decisions and actions with credibility and a focus on driving measurable impact, all within a thriving culture built on collaboration and innovation.

Requirements

• Bachelor's degree in Business, Technology, Operations, Marketing, Data Science, Information Systems, Business Analytics, Computer Science, or a related field.
• 3+ years of combined experience in AI & digital data product management, data management, AI/ML product development, software development, or equivalent experience, with a proven track record in digital transformation and driving execution from strategy to implementation.
• Strong technical fluency with data systems, SQL, AI/ML frameworks, and cloud-based data platforms (e.g., AWS, GCP, Azure) to inform digital product decisions.
• Working knowledge of Semantic Layer concepts, data governance frameworks, and FAIR data principles.
• Proven experience collaborating with Legal, Compliance, and Privacy teams to ensure adherence to governance and regulatory standards.

Nice To Haves

• Advanced degree such as an MBA or related graduate-level qualification.
• Professional experience in data management, technical project management, or business analysis within the pharmaceutical, biotechnology, finance, CPG, or management consulting industries.
• Experience with AI-driven products, omnichannel/digital marketing solutions, or CRM systems.
• Expertise in driving product enhancements based on measurement, optimization insights, and data usage metrics.
• Strong problem-solving abilities and adaptability to navigate ambiguous or evolving environments.

Responsibilities

• Manage execution from digital product strategy through implementation for a portfolio of AI and Analytical Data Products, driving roadmap development, release management, and continuous optimization.
• Champion a digital product operating model mindset, participating in agile routines and collaborating within cross-functional AI and data squads to deliver iterative value.
• Act as the primary point of contact for inquiries and digital demand requests, effectively bridging the gap between business stakeholders, AI/ML researchers, and the data product technology team.
• Partner with data owners and cross-functional teams to define and enforce data standards, ensuring AI model readiness, data quality, testing, usability, and seamless workflow integration.
• Guide the team in adhering to data mesh, data fabric, Semantic Layer concepts, advanced digital product strategy, and FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
• Maintain and prioritize the AI and digital data product backlog for your designated portfolio to ensure it efficiently addresses the requirements of evolving business use cases.
• Monitor and measure data product performance in collaboration with IT partners, identifying opportunities to optimize value delivery to end users.

Benefits

• A discretionary annual bonus may be available based on individual and Company performance.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level