Associate Director, Customer Master & Identity Products

Role overview Own the strategy and lifecycle of customer identity data products that establish trusted records for healthcare professionals and organizations, along with the relationships between them. These foundational products support downstream commercial and medical capabilities such as CRM, analytics, omnichannel engagement, and consent management, while keeping customer identity authoritative and reusable.

Responsibilities - Set product direction, priorities, adoption goals, and lifecycle plans for professional and organization master data and affiliation products. - Work with commercial, medical, field operations, digital, and analytics teams to understand how identity data supports their workflows. - Turn consumer needs into product outcomes, requirements, acceptance criteria, data contracts, interfaces, and usage patterns. - Define identifiers, crosswalks, data structures, and integrations that let downstream products consume authoritative identity and relationship data. - Coordinate with related product teams to establish dependable interfaces and quality expectations without duplicating identity records. - Translate approved definitions and stewardship rules into product requirements, and track measures such as match quality, false-merge risk, affiliation accuracy, completeness, and timeliness. - Coordinate releases, consumer acceptance, documentation, lineage, change communications, adoption, known limitations, and retirement of redundant outputs.

Requirements - Strong data product management experience and technical fluency. - Familiarity with pharmaceutical customer data, including professional and organization mastering, identifiers, entity resolution, affiliations, hierarchies, and data quality. - Ability to work across business functions and translate varied consumer needs into clear, governed product requirements. - Experience building reusable data capabilities while balancing governance, consumer needs, and long-term scalability. - The listing emphasizes work with data engineering, information systems, domain leadership, and data stewardship; candidates should be comfortable coordinating across these groups.

Nice to have Experience applying automation, advanced analytics, or AI-assisted methods to data quality, identity resolution, metadata, or product management; experience supporting customer data products across multiple functions or markets.

Benefits and work setup The listing describes an onsite role at a headquarters in Redwood City, with location-adjusted compensation and a broader rewards package that includes equity, benefits, and learning opportunities.