Datavant

Product Manager, Risk Adjustment Coding Data Integration

Datavant

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $145,000 - $170,000 per year

Job Level

Mid-LevelSenior

Tech Stack

SDLC

About the role

  • Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format.
  • Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions.
  • Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care.
  • By joining Datavant today, you’re stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions.
  • Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare.
  • Role Overview: As a Product Manager, Risk Adjustment Coding Data Integration, you will own the data strategy and execution for Datavant’s Retrospective Risk Adjustment Coding products, driving client data standardization, data integrations, database management, and optimization within business verticals for downstream use.
  • You will also support scalable, reliable, and performant project data ingestion pipelines and maintain databases that support specific product services, while providing end to end visibility into these pipelines and databases.
  • The ideal candidate combines deep healthcare data expertise with strong product management skills, and thrives at the intersection of product, data integration, engineering, and operations.
  • Key Responsibilities: Product Strategy—Own and evolve the product vision, strategy, and roadmap for the Data Integration pod within the Retrospective Risk Adjustment Coding Product Suite.
  • Execution & Delivery—Client Data Management: Oversee secure and compliant onboarding and management of client data for MA, ACA, and Medicaid plans, ensuring HIPAA and CMS compliance.
  • Standard Data Specifications: Develop and maintain standardized data specifications for Retrospective Coding Products; Data Type Additions: Prioritize new data types to enhance AI-driven coding accuracy; Data Integration.
  • Lead efforts in collaboration with the Retrieval Product team to streamline chart access for Retrospective Coding Products; Build standard APIs and UIs to improve retrieval integration with a possibility of creating an SDK for external client access; Manage data ingestion for projects where we receive data directly from clients (i.e., code-only projects).
  • Data Optimization: Optimize structured data ingestion pipelines and automate data pipelines for performance, reducing latency and improving speed; Convert ingested data into a format supported by Datavant’s Common Document Repository (CDR).
  • Infrastructure Standards, Visibility & Compliance: Work with infrastructure limits to promote scalability; Enable end-to-end visibility into data pipelines; Maintain databases / data stores; Ensure scalability, performance and reliability.
  • Stakeholder engagement: Collaborate with Retrieval and Client Success teams to address diverse client needs; Drive adoption of data specifications to improve the client experience.
  • KPIs: Product Execution, Client Experience, Data Standards.
  • About You: 5+ years in product management or data product roles; Domain expertise in HL7, FHIR, CMS; Cross-Functional Partner; Execution-Oriented.

Requirements

  • 5+ years in product management or data product roles, ideally within healthcare. Must possess strong knowledge of product development practices and SDLC
  • Well-versed in the key underlying healthcare data sources that support risk adjustment coding, including standards such as HL7, FHIR, CMS files, etc.
  • Experience collaborating with Data Science, Engineering, Data Integrations, Machine Learning / Infrastructure, and Client teams to develop solutions
  • Comfortable owning complex problems and delivering results in fast-paced, ambiguous environment