Own the end-to-end product lifecycle for the de-identified data platform, from ingestion and normalization through de-identification, modeling, and delivery
Define and maintain the product roadmap in alignment with corporate strategy and commercialization goals
Translate strategic objectives into clear product requirements, documentation, and execution plans
Partner with Engineering and Data teams to prioritize and deliver scalable, high-quality platform capabilities
Collaborate with Data Modelers to design normalized, extensible data structures that support real-world evidence use cases
Establish data quality standards, validation frameworks, and certification checkpoints
Operationalize data rights and compliance workflows in partnership with Legal and Privacy teams
Apply AI tools to improve product development velocity, enhance data mapping and validation workflows, and elevate documentation standards
Identify opportunities to embed AI-driven automation into core platform capabilities
Drive cross-functional alignment across Strategy, Data, Analytics, Engineering, Legal, and Commercial stakeholders
Support onboarding of external partners through structured delivery processes, documentation, and defined SLAs

5–8+ years of product management experience
Experience building data platforms, APIs, or structured data products
Experience working with healthcare data (claims, EHR, or other regulated datasets)
Strong understanding of data modeling principles
Demonstrated use of AI tools to improve product development and execution velocity
Experience partnering with Legal, Privacy, or Compliance stakeholders
Strong written communication and structured thinking skills
Familiarity with HIPAA Privacy Rules or de-identification frameworks (preferred)

Product Manager – De-Identified Data Platform

Key skills