Principal Product Manager, Clinical Data Analytics

Tendo

. Define product vision, strategy, and roadmap for clinical data analytics .

Posted 11/12/2026full-timeRemote • United StatesLead💰 $131,750 - $178,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in healthcare analytics and product management, with a strong focus on quality measurement frameworks and data-driven decision-making. Proficient in translating complex clinical methodologies into actionable product requirements and analytics solutions.

Highest-signal resume keywords

Product Management ExperienceHealthcare Quality Measurement ExpertiseData Analytics Solutions DevelopmentStakeholder Management SkillsAI Tools Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Healthcare AnalyticsQuality Measurement MethodologiesRisk Adjustment MethodologiesStatistical ValidationICD-10SQLPythonEHR Data ModelsBusiness Logic DefinitionData Models

Soft Skills

Strong Communication SkillsProblem-Solving SkillsStakeholder Management

Tools & Technologies

AI ToolsHL7FHIRLOINCSNOMED CTRxNorm

Industry Keywords

Healthcare TechnologyValue-Based CareCMS Star RatingsHEDISMIPSACO Quality MeasuresPredictive AnalyticsSaaSDigital HealthMarketplace Experience

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define product vision, strategy, and roadmap for clinical data analytics
Serve as subject matter expert on EHR, claims, pricing, payment, and healthcare coding data
Define business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models
Partner with quality measurement, clinical informatics, data science, and engineering teams to measure provider performance and identify quality improvement opportunities
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 accurate, meaningful, accessible analytics tools
Monitor industry trends, competitive offerings, and regulatory developments
Work with Sales, Customer Engagement, and Operations on go-to-market, adoption, and customer satisfaction
Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; refine outputs and contribute standards to the shared team library
Deliver data solutions that improve decision-making, operational efficiency, and Tendo’s healthcare marketplace growth

Requirements

What you’ll need

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, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models
Expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting
Ability to evaluate published quality methodologies and translate them into production-grade product functionality
Experience translating clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions
Ability to translate quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities
Strong working knowledge of ICD-10, DRG, CPT, claims, payment, and payer/provider data workflows
Experience with HL7, FHIR, EHR data models, provider directories, LOINC, SNOMED CT, and RxNorm strongly preferred
Experience with large, complex healthcare datasets
Working familiarity with SQL, Python, relational data concepts, or similar technical tools
Ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products
Strong communication, stakeholder management, and problem-solving skills
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
Advanced degree, SaaS/digital health/marketplace experience, predictive analytics or machine learning, claims data, payer/provider/employer integrations, value-based care, and EHR product experience are listed as nice to have

Benefits

Comp & perks

Equity package
Annual bonuses
Full health benefits (medical, dental, and vision)
Flexible spending accounts
Health savings accounts
Company paid life insurance
Company paid short-term and long-term disability
Company equity
Voluntary benefits
401(k)
Company paid holidays
Flexible time off
Employee wellness program (“Breathe”)