Senior Product Manager, Coding Data Platform

datavant2; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

datavant2 is seeking a senior product leader to define the data strategy for a large healthcare coding platform migrating to next-gen infrastructure. You will influence product, data engineering, ML, operations, and client success, shaping how clinical and risk-adjustment data flows from customers to end users.

You will own the roadmap, drive cross-team integration, and define metrics to track pipeline performance, HIPAA/CMS compliance, and smooth migration of clients to the new platform.

Qualifications

• 5+ years of product management experience, including at least 2 years on data platforms or data integration.
• Experience leading product work at the center of a multi-team platform migration.
• Technical fluency in data pipeline concepts (pipeline architecture, database replication, API design) without coding requirements.
• Ability to operate in fast-paced,Ambiguous environments.

Responsibilities

• Own the end-to-end product roadmap for the coding data platform, balancing engineering, client, and platform priorities while articulating tradeoffs to senior leadership
• Lead integration strategies across external clients and internal retrieval teams, driving the transition to a new document services layer and adopting universal document identifiers
• Drive automation of the project setup lifecycle, from initial data receipt through downstream availability, and define metrics that make pipeline performance visible and actionable
• Maintain standardized data specifications and ingestion profiles for Medicare Advantage, ACA, and Medicaid programs, ensuring HIPAA and CMS compliance while reducing manual configuration errors
• Define dual-load strategies, rollback windows, and project routing logic that support safe client migrations to the new platform
• Serve as connective tissue across data integration, ML platform, data engineering, business intelligence, retrieval, operations, and client success, clarifying ownership and unblocking dependencies

Skills

Product management

Data platforms

Data integration

Technical fluency

Cross-team leadership

Tools

Snowflake

Databricks

OCR pipelines

Job description

Role overview

This senior product role leads the data strategy behind a large-scale healthcare coding platform currently migrating to next-generation infrastructure. The position sits at the intersection of product, data engineering, machine-learning platform, operations, and client success, owning how clinical and risk-adjustment data flows from customers to end users. It is a high-visibility seat with direct influence over coder productivity, client outcomes, and the pace and quality of platform migrations.

Responsibilities

• Own the end-to-end product roadmap for the coding data platform, balancing engineering, client, and platform priorities while articulating tradeoffs to senior leadership
• Lead integration strategies across external clients and internal retrieval teams, driving the transition to a new document services layer and adopting universal document identifiers
• Drive automation of the project setup lifecycle, from initial data receipt through downstream availability, and define metrics that make pipeline performance visible and actionable
• Maintain standardized data specifications and ingestion profiles for Medicare Advantage, ACA, and Medicaid programs, ensuring HIPAA and CMS compliance while reducing manual configuration errors
• Define dual-load strategies, rollback windows, and project routing logic that support safe client migrations to the new platform
• Serve as connective tissue across data integration, ML platform, data engineering, business intelligence, retrieval, operations, and client success, clarifying ownership and unblocking dependencies

Requirements

• 5+ years of product management experience, including at least 2 years focused on data platforms or data integration
• Prior experience leading product work at the center of a multi-team platform migration
• Technical fluency in data pipeline concepts such as pipeline architecture, database replication, and API design, without needing to write code
• Comfort owning complex problems and delivering results in fast-paced, ambiguous environments

Nice to have

• Familiarity with cloud-based document repositories, Snowflake or Databricks, or OCR and document ingestion pipelines