Principal Product Engineer, Clinical Data Analytics

Job not on LinkedIn

🔥 8 minutes ago

🏄 California, Illinois, +3 more states – Remote

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

💵 $157.3k - $212.8k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

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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 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 for quality analytics products • Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design provider-performance methodologies and quality-improvement 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 • Advance work through the four PLA gate reviews with no handoffs between stages • Partner with data science and engineering to build tools that surface accurate, meaningful, and accessible actionable insights • Monitor industry trends, competitive offerings, and regulatory developments to inform product direction • Work with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction • Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; evaluate and refine AI-generated output • 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 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 • Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities • Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows • Experience 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

🏖️ Benefits

• Equity package • Annual bonuses • 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 • Voluntary benefits • 401(k) • Company paid holidays • Flexible time off • Employee wellness program (“Breathe”)

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