Principal Product Engineer, Clinical Data Analytics

This is a fully remote position, open to applicants in California, +4 more states.

📋 Description

• Establish the product vision, strategy, and roadmap for clinical data analytics.

• Act as a subject matter expert in EHR, claims, pricing, payment, and healthcare coding data.

• Develop and uphold business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models.

• Collaborate with experts in quality measurement, clinical informatics, data science, and engineering to create clinical analytics methodologies.

• Engage with health systems, employers, payers, and other stakeholders to collect requirements and confirm use cases.

• Manage assigned features from the opportunity statement through specification, design input, development, documentation, and release.

• Work alongside data science and engineering teams to create tools that reveal actionable insights.

• Keep track of industry trends, competitive products, and regulatory updates.

• Collaborate with Sales, Customer Engagement, and Operations to enhance go-to-market strategies, adoption rates, and customer satisfaction.

• Utilize AI to draft specifications, acceptance criteria, documentation, and analyses.

• Assess and improve AI-generated outputs and contribute patterns, examples, and standards to the team library.

⛳️ Requirements

• A bachelor's degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.

• Over 7 years of product management experience in healthcare technology, healthcare analytics, data products, or a similar field.

• Extensive knowledge of 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.

• Proficiency in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting.

• Experience in converting clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions.

• Capability to transform quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support functionalities.

• Strong understanding of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.

• Experience with large and complex healthcare datasets.

• Working knowledge of SQL, Python, relational data concepts, or similar technical tools and concepts.

• Ability to outline product strategy, requirements, business logic, and roadmaps for complex data-driven products.

• Effectiveness in collaborating across technical, clinical, and business teams.

• Ability to oversee product initiatives from discovery to delivery and post-release evaluation.

• Proficiency with AI tools as a primary author, including directing, assessing, and refining AI-generated product specifications, documentation, and analyses.

• Experience with HL7, FHIR, EHR data models, provider directories, LOINC, SNOMED CT, and RxNorm is strongly preferred.

🏝️ Benefits

• Equity package.

• Annual bonuses.

• Comprehensive 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) plan.

• Company-paid holidays.

• Flexible time off.

• Employee wellness program (“Breathe”).