Senior Product Manager, Data Integration Platform (CONTRACT)
Transcarent - US - Remote
Posted Apr 3, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- 401(k) match
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Schedule
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- Weekend work
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Application
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Where they hire
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About this role
Senior Product Manager, Data Integration Platform (CONTRACT) US - Remote Transcarent is looking for a Senior Product Manager to own the product strategy and roadmap for our data integration platform that powers the movement, validation, and transformation of enterprise healthcare data across the organization. This is a high-impact, high-visibility role sitting at the intersection of data engineering, AI, and enterprise healthcare and will be responsible for making complex data infrastructure reliable, scalable, and self-service for the teams and clients who depend on it. You'll work closely with Data Engineering, Analytics, Client Success, and Implementation teams to define what the future of data integration at Transcarent looks like, from strengthening core ingestion pipelines and data quality frameworks to expanding operational visibility. What You'll Own - Define and drive the product roadmap for Transcarent's core data integration platform, governing how eligibility, claims, pharmacy, and other enterprise healthcare datasets move, transform, and land across systems - Own the end-to-end ingestion experience from file intake and schema validation to quality checks, metadata tracking, and lineage visibility, helping to ensure downstream consumers always have clean, trusted, and timely data - Drive platform reliability and scalability, partnering with Data Engineering to reduce pipeline failures, shrink ingestion lag, and improve overall data freshness across client datasets - Build toward a self-service model reducing dependency on Data Engineering for routine operations by giving analytics, implementation, and client-facing teams direct visibility into pipeline health and processing status - Define and enforce data quality standards across the platform, including validation
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