Datavant
Product Manager, Risk Adjustment Coding Data Integration
Datavant, Tallahassee, Florida, us, 32318
Overview
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 joining a high-performing, values-driven team working to tackle healthcare’s most complex problems with technology-forward solutions. Datavant values diverse 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 help standardize data specifications, further Datavant\'s ability to ingest different data types and streamline the process to ingest both structured and unstructured data. 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 (project size limits, chart size limits, prediction count limits) Enable end-to-end visibility into data pipelines, providing the ability to proactively intervene and provide traceability Maintain databases / data stores that support specific product services and provide visibility into these databases Ensure scalability, performance and reliability
Stakeholder engagement
Collaborate with Datavant’s Retrieval and Client Success team to address diverse client needs Drive adoption of data specifications to improve the client experience
Key Performance Indicators (KPIs)
Product Execution
Timeliness of feature delivery and roadmap execution Reduction in time taken to create and operationalise coding projects Maintenance of compliance with infrastructure limits and no security incidents
Client Experience
Client feedback on data onboarding process and timelines Adoption of standard data specifications across customer base Number of support issues or custom requests related to data issues
Data Standards
Integration of new data types Data accuracy (upstream validation of data quality)
Database uptime/availability
Optimized query response time (i.e. average time taken to execute database queries) Reduction in records with errors
About You
Experience:
5+ years in product management or data product roles, ideally within healthcare. Must possess strong knowledge of product development practices and SDLC Domain Expertise:
Well-versed in the key underlying healthcare data sources that support risk adjustment coding, including standards such as HL7, FHIR, CMS files, etc. Cross-Functional Partner:
Experience collaborating with Data Science, Engineering, Data Integrations, Machine Learning / Infrastructure, and Client teams to develop solutions Execution-Oriented:
Comfortable owning complex problems and delivering results in fast-paced, ambiguous environment We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. Additionally, Datavant highlights its total rewards strategy for high-growth, high-performance health technology work. The posted salary range may vary by level and experience: $145,000—$170,000 USD. To ensure safety, many clients require post-offer health screenings and vaccinations. Exemptions are reviewed case-by-case by Datavant HR and may depend on state law and individual circumstances. This job is not eligible for employment sponsorship. Datavant is an Equal Employment Opportunity employer. See our EEO Commitment Statement and Know Your Rights resources for more information. Any voluntary demographic questions are anonymous and optional. We also offer accommodations during the application process; see our accommodation resources. For details on data collection, please review our Privacy Policy.
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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 joining a high-performing, values-driven team working to tackle healthcare’s most complex problems with technology-forward solutions. Datavant values diverse 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 help standardize data specifications, further Datavant\'s ability to ingest different data types and streamline the process to ingest both structured and unstructured data. 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 (project size limits, chart size limits, prediction count limits) Enable end-to-end visibility into data pipelines, providing the ability to proactively intervene and provide traceability Maintain databases / data stores that support specific product services and provide visibility into these databases Ensure scalability, performance and reliability
Stakeholder engagement
Collaborate with Datavant’s Retrieval and Client Success team to address diverse client needs Drive adoption of data specifications to improve the client experience
Key Performance Indicators (KPIs)
Product Execution
Timeliness of feature delivery and roadmap execution Reduction in time taken to create and operationalise coding projects Maintenance of compliance with infrastructure limits and no security incidents
Client Experience
Client feedback on data onboarding process and timelines Adoption of standard data specifications across customer base Number of support issues or custom requests related to data issues
Data Standards
Integration of new data types Data accuracy (upstream validation of data quality)
Database uptime/availability
Optimized query response time (i.e. average time taken to execute database queries) Reduction in records with errors
About You
Experience:
5+ years in product management or data product roles, ideally within healthcare. Must possess strong knowledge of product development practices and SDLC Domain Expertise:
Well-versed in the key underlying healthcare data sources that support risk adjustment coding, including standards such as HL7, FHIR, CMS files, etc. Cross-Functional Partner:
Experience collaborating with Data Science, Engineering, Data Integrations, Machine Learning / Infrastructure, and Client teams to develop solutions Execution-Oriented:
Comfortable owning complex problems and delivering results in fast-paced, ambiguous environment We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. Additionally, Datavant highlights its total rewards strategy for high-growth, high-performance health technology work. The posted salary range may vary by level and experience: $145,000—$170,000 USD. To ensure safety, many clients require post-offer health screenings and vaccinations. Exemptions are reviewed case-by-case by Datavant HR and may depend on state law and individual circumstances. This job is not eligible for employment sponsorship. Datavant is an Equal Employment Opportunity employer. See our EEO Commitment Statement and Know Your Rights resources for more information. Any voluntary demographic questions are anonymous and optional. We also offer accommodations during the application process; see our accommodation resources. For details on data collection, please review our Privacy Policy.
#J-18808-Ljbffr