Senior Product Manager, Data Integration Platform
Wasilla, Matanuska-Susitna Borough, Alaska, 99623, USA
Listed on 2026-06-04
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IT/Tech
Data Engineer, Data Analyst
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 rules, anomaly detection, and error surfacing that catches issues before they reach downstream reports or AI models
- Own the integration roadmap with upstream data sources and downstream consumers ensuring our platform can onboard new clients, datasets, and systems without linear growth in engineering effort
- Partner with Compliance and Governance teams to ensure the platform meets HIPAA and enterprise data handling requirements across all ingestion workflows
- 6+ years of product management experience, with at least 3 years owning data platform, data integration, or data infrastructure products
- Deep familiarity with enterprise data concepts including ingestion pipelines, ETL/ELT, schema management, data quality, and lineage — and the ability to translate these into clear product decisions
- Experience working with healthcare data including eligibility, claims, pharmacy and everything in between
- Ability to operate at both the strategic and the technical level – you can read a pipeline architecture diagram and write a crisp product brief for the same feature
- Strong cross‑functional instincts – you know how to align Data Engineering, Client Success, Analytics, and Compliance around a shared roadmap
- Comfort with ambiguity and a bias toward shipping as you’ll need to balance competing priorities with limited resources
- Experience with cloud data platforms and modern data lakehouse architectures
- Familiarity with AI governance frameworks and responsible AI deployment in enterprise settings
- Background building internal or developer‑facing tools
Rostra is not a side project — it’s the data foundation that every downstream report, dashboard, and AI insight at Transcarent depends on. As the PM for Rostra, you’re not just shipping features; you’re shaping how a healthcare company of our scale moves, trusts, and acts on data. The platform is evolving rapidly — from reactive data pipelines to an intelligent, self‑healing system that anticipates problems before they happen and explains itself in plain language.
There’s significant runway ahead, and this role sits right at the center of it.
As a remote position, the salary range for this role is $65—$75 USD.
Total RewardsIndividual compensation packages are based on a few different factors unique to each candidate, including primary work location and an evaluation of a candidate’s skills, experience, market demands, and internal equity.
Salary…
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