Director of Product, Provider Data ManagementActive$504K–$237K

Oscar Health
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The opportunity

Hi, we're Oscar. We're hiring a Director of Product, Provider Data Management to join our Product team.

What you'll do

  • Define and communicate a clear multi-year product vision and strategy for: Provider Data Management, aligned to Network business priorities and Oscar’s broader operating strategy.

  • Own the product portfolio spanning provider ingestion, provider data: reconciliation, provider pipeline, credentialing, contract-to-claim-ready workflows, provider-data maintenance, and downstream distribution.

  • Establish measurable outcomes for provider-data accuracy, time from contract: signature to claim readiness, incorrect denials for credentialed entities, downstream configuration issues, and operational efficiency.

  • Establish clear data governance, ownership, quality standards, lineage, and: controls for provider data across its lifecycle.

  • Lead, coach, and develop a team of Product Managers; establish effective: product practices, decision-making forums, and operating rhythms across the portfolio.

  • Serve as a hands-on product leader: develop and empower the Product Management team while personally leading the portfolio’s most consequential strategic, technical, and cross-functional decisions.

What they're looking for

  • Partner closely with the Director of Network Management and Provider: Servicing to translate network strategy, operating policies, frontline needs, and service insights into scalable product capabilities.
  • Partner with Claims and downstream teams to reduce provider-data-related: incorrect denials involving credentialed entities.
  • Own product strategy, portfolio prioritization, and delivery decisions for: Provider Data Management; partner closely with the Director of Network Management and Provider Servicing on business policies, operational requirements, change readiness, and adoption.
  • Partner with Engineering and Data Science teams to set direction for data: models, ingestion and ETL pipelines, entity and relationship logic, data-quality controls, lineage, reconciliation logic, and platform reliability.