Principal Product Manager, Clinical Data Analytics

Tendo

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

Posted 11/12/2026full-timeRemote • United StatesLead💰 $157,250 - $212,750 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 methodologies, data-driven product strategy, and collaboration across multidisciplinary teams. Proficient in translating complex clinical and financial data into actionable insights and scalable product requirements.

Highest-signal resume keywords

Healthcare Analytics Product ManagementQuality Measurement MethodologiesEHR Data ModelsAI-Driven InsightsStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Healthcare Quality MeasurementRisk Adjustment MethodologiesStatistical ValidationSQLPythonICD-10CPTClaims Data WorkflowsData ModelsAnalytics Solutions

Soft Skills

Strong CommunicationProblem-SolvingStakeholder Management

Tools & Technologies

HL7FHIREHRLOINCSNOMED CTRxNorm

Industry Keywords

CMS Star RatingsHEDISMIPSValue-Based Care ModelsProvider Attribution

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define 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 business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models for quality analytics products
Partner with quality measurement, clinical informatics, data science, and engineering teams to design provider-performance methodologies
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
Build tools that surface accurate, meaningful, accessible, and actionable insights
Monitor industry trends, competitive offerings, and regulatory developments
Collaborate 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
Contribute prompt patterns, quality examples, and design and decision standards to the shared team library
Translate clinical and financial activities into insights supporting patients, providers, and health systems
Define data requirements and business logic to measure provider-level clinical quality, analyze quality/price/market share relationships, and identify missing comorbidities

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 specifications, documentation, and analysis

Benefits

Comp & perks

Full health benefits (medical, dental, and vision)
Flexible spending and 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”)
Annual bonuses