Principal Product Manager, Clinical Data Analytics

The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping [Employer]’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:

• Measure provider-level clinical quality from claims data.
• Analyze the relationship between quality, price, and market share for health procedures.
• Identify missing comorbidities from EHR patient records.

This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support [Employer]’s marketplace growth. Under [Employer]’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.About [Employer] an impact—join our team!We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!

Job LocationSan Francisco Bay Area, CATendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.

Responsibilities

• Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
• Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
• Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power [Employer]’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
• Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
• Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
• Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
• Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
• Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
• AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.

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 nationally recognized programs such as 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.
• Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
• Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
• Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
• Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
• Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
• Experience working with large, complex healthcare datasets and translating data into meaningful 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 complex data-driven products.
• Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
• Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
• Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.

Nice to Have

• Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
• Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
• Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
• Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
• Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
• Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
• Familiarity with payer, provider, and employer data integration and reporting needs.
• Understanding of value-based care, reimbursement models, and healthcare economics.
• Experience working with EHR systems and clinical informatics teams in a product capacity.

Originally posted on [Employer]