Principal Product Manager, Clinical Data Analytics

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🏄 California, Illinois, +3 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote ⛷️ Utah – Remote

💵 $157.3k - $212.8k / year

⏰ Full Time

🔴 Lead

🧪 Clinical Research

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Tendo

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

⚕️ Healthcare Insurance

Healthcare • Consulting • Healthcare Insurance

Tendo is a healthcare technology company focused on transforming the end-to-end patient experience and improving healthcare outcomes. It provides a suite of applications designed for clinicians, patients, and healthcare providers with features like actionable insights, quality documentation improvement, personalized patient care journeys, and care connect platforms. Tendo emphasizes the use of data and analytics to drive informed healthcare decisions and operational efficiencies, aiming to enhance financial, operational, and quality outcomes in the healthcare sector. Their goal is to revolutionize healthcare delivery using a modern and configurable platform.

📋 Description

• 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

• 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

• 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

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