Principal Product Manager, Clinical Data Analytics
New
T
TendoHealthcare analytics
Candidates may be located in any one of our hub locations.Full-TimePrincipal
SalaryBase Salary Range
$157,250 - $212,750
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Job Details
- Experience
- 7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
- Required Skills
- PythonSQLProduct Management
Requirements
- Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
- 7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
- Deep expertise in U.S. healthcare quality measurement and performance frameworks, including CMS Star Ratings, HEDIS, MIPS, ACO quality measures, and value-based care models.
- Expertise in measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting.
- Experience translating clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions.
- Strong working knowledge of ICD-10, DRG, CPT, claims, payment, and payer/provider data workflows.
- Experience with large, complex healthcare datasets and translating data into products, insights, or analytics.
- Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
- Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for data-driven products.
- Ability to own product initiatives from discovery through delivery and post-release learning.
- Fluency with AI tools as a first author, including directing, evaluating, and refining AI-generated product specifications, documentation, and analysis.
- Experience with HL7, FHIR, EHR data models, provider directories, LOINC, SNOMED CT, and RxNorm is strongly preferred.
Responsibilities
- Help define the product vision, strategy, and roadmap for clinical data analytics.
- Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data.
- Define and maintain business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models.
- Partner with quality measurement experts, clinical informatics, data science, and engineering to design provider performance methodologies and analytics.
- Collaborate with health systems, employers, payers, and other stakeholders to gather requirements and validate use cases.
- Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release.
- Partner with data science and engineering to build tools that surface actionable insights.
- Monitor industry trends, competitive offerings, and regulatory developments to inform product direction.
- Use AI as the first author for specifications, acceptance criteria, documentation, and analysis, and evaluate and refine its output.
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