Stars Technology Business Intelligence Lead Product Owner
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The Lead, Technical Product Owner requires someone known for creative problem solving. This role solves complex business problems and issues using data and custom software from internal and external sources. The role works on problems of diverse scope and complexity ranging from moderate to substantial. It is responsible for leading, defining and delivering on the roadmap of multiple data and business application products. This role bridges product ownership, data and software engineering, and regulatory healthcare data requirements, ensuring that data ingestion, transformation, and delivery are optimized for quality measurement, reporting, and compliance with CMS standards.We are seeking an individual with a growth mindset, who is a highly experienced Technical Product Owner to drive the development of data products specifically related to CMS Stars and HEDIS quality measures. The ideal candidate has deep expertise in Stars/HEDIS data, regulatory requirements, and agile product development, and 3 tier software development and technical support for critical systems. In this role, you will teach and collaborate with business stakeholders, data engineers, and IT teams to translate complex requirements into actionable product features that support quality measurement, reporting, and compliance.
Key responsibilities:
Technology strategy and roadmap of Business and Data Products: Define and maintain the vision, strategy, and roadmap for data products that enable CMS Stars and HEDIS reporting. Ensure alignment with enterprise goals and departmental priorities.
Backlog management: Own, groom, and prioritize the product backlog for one or more agile teams, ensuring it reflects business needs, regulatory changes, and technical dependencies.
Requirements translation: Elicit detailed requirements from stakeholders (e.g., business, compliance, and analytics) and translate them into clear user stories with defined acceptance criteria for development teams.
Cross-functional collaboration: Act as the primary liaison between business stakeholders and technical teams. Facilitate communication and alignment across data engineering, analytics, compliance, and QA teams.
Technical guidance: Work closely with data architects and engineers to design and validate data flows, mappings, and transformations. Provide guidance to ensure technical solutions are feasible and aligned with the product vision.
Data quality and compliance: Collaborate with governance teams to establish data quality benchmarks and implement testing protocols. Ensure data products adhere to CMS mandates and NCQA standards.
Technical debt management: Advocate for the resolution of technical debt and architectural improvements, balancing short-term feature delivery with long-term product sustainability.
Stay current: Monitor evolving CMS, NCQA, and HEDIS requirements and coordinate necessary updates in response to specification changes.
Travel for this role is quarterly
Use your skills to make an impact
Role Essentials
Bachelor's degree
8 or more years of experience in data flow & analysis and software application building & enhancements
2 or more years of project leadership experience
Strong experience with healthcare data, particularly clinical and claims data used in HEDIS measurement
Familiarity with CMS Stars programs, NCQA standards, and quality performance metrics.
Advanced experience working with big and complex data sets within large organizations
Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
Proficiency in understanding Healthcare related data
Proficiency in verbal/written communication to senior and executive leadership
Role Desirables
Advanced Degree in a quantitative discipline, such as Mathematics, Economics,
Finance, Statistics, Computer Science, Engineering or related field
Knowledge of NCQA, CMS, and health plan quality measurement programs.
Deep understanding of healthcare interoperability standards (e.g., HL7, FHIR, X12).
Advanced in SQL, SAS and other data systems
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