Senior PM, Coding Data Platform: Data Ingestion

Datavant; Indianapolis (IN); On-site; USD 170,000 - 200,000; Full time

Job summary

Datavant is seeking a Senior Product Manager for the Coding Data Platform to own the data strategy and roadmap for ingestion, transformation, and usage. You will guide integration with clients and internal partners, improve pipeline reliability, and shape architecture to support AI, reporting, and client-facing products.

You will drive cross-functional coordination across Data Integration, ML Platform, Data Engineering, BI, Retrieval and Client Success, influencing migration pace and quality

Qualifications

• 5+ years of product management experience, with data platform and data integration focus.
• PM at the center of a multi-team platform migration.
• Strong fluency with data pipelines, architecture, and API design (no code required).

Responsibilities

• Own the Coding Data Platform roadmap, balancing engineering, client, and platform demands.
• Lead integration strategies with clients and the retrieval business, adopting the new Document Services layer.
• Drive automation for project setup from data receipt to end-user availability and define performance metrics.
• Maintain standardized data specs across MA, ACA, and Medicaid, ensuring HIPAA compliance.
• Define dual-load strategies, rollback windows, and routing for migrations to the new platform.
• Coordinate across Data Integration, ML Platform, Data Engineering, BI, Retrieval, Operations and Client Success.

Skills

PM experience

Data platform

Data integration

Platform migration

Data pipelines

Tools

Snowflake/Databricks

OCR ingestion pipelines

Job description

Datavant is seeking a Senior Product Manager for the Coding Data Platform to own the data strategy and roadmap for ingestion, transformation, and usage. You will guide integration with clients and internal partners, improve pipeline reliability, and shape architecture to support AI, reporting, and client-facing products.

You will drive cross-functional coordination across Data Integration, ML Platform, Data Engineering, BI, Retrieval and Client Success, influencing migration pace and quality