Data Product Manager, Analytical Data Products

Roche•South San Francisco, CA

2d•$125,200 - $232,600•Hybrid

About The Position

As a Data Product Manager for Analytical Data Products, you will drive execution from strategy through implementation for a designated portfolio of analytical pipelines. Reporting directly to the Director for Analytical Data Products, you will own the full product lifecycle, translate complex business needs into actionable roadmaps, and collaborate within cross-functional data squads to deliver scalable data solutions.

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 data product management, data management, AI, software development, or equivalent experience, with a track record of driving execution from strategy to implementation.
Strong technical fluency with data systems, SQL, and cloud-based data platforms (e.g., AWS, GCP, Azure) to inform 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 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 strategy through implementation for a portfolio of Analytical Data Products, driving roadmap development, release management, and continuous optimization.
Champion a product operating model mindset, participating in agile routines and collaborating within cross-functional data squads to deliver iterative value.
Act as the primary point of contact for inquiries and demand requests, effectively bridging the gap between business stakeholders and the data product technology team.
Partner with data owners and cross-functional teams to define and enforce data standards, ensuring data quality, testing, usability, and seamless workflow integration.
Guide the team in adhering to data mesh, data fabric, Semantic Layer concepts, and FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
Maintain and prioritize the 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.