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 on EHR, claims, pricing, payment, and healthcare coding data.

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

• Collaborate with quality measurement experts, clinical informatics, data science, and engineering teams to create provider-performance methodologies and quality-improvement analytics.

• Work with health systems, employers, payers, and other stakeholders to gather requirements and validate use cases.

• Manage assigned features from start to finish, including opportunity statements, specifications, design input, build, documentation, and release.

• Progress work through the four PLA gate reviews without handoffs between stages.

• Collaborate with data science and engineering to develop tools that provide accurate, meaningful, and actionable insights.

• Keep abreast of industry trends, competitive offerings, and regulatory changes to guide product direction.

• Partner with Sales, Customer Engagement, and Operations to facilitate go-to-market strategies, adoption, and customer satisfaction.

• Utilize AI as the primary author for specifications, acceptance criteria, documentation, and analysis; assess and enhance AI-generated outputs.

• 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.

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

• Extensive knowledge 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.

• Proven expertise in healthcare quality measurement science, encompassing measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting.

• Capability to critically assess published quality methodologies and convert them into production-grade product functionality.

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

• Proficient in transforming complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities.

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

• Familiarity with healthcare data standards and interoperability technologies, such as HL7, FHIR, EHR data models, provider directories, and clinical terminology standards like LOINC, SNOMED CT, and RxNorm, is strongly preferred.

• Experience with large, complex healthcare datasets and the ability to translate data into valuable products, insights, or analytics.

• Competent in SQL, Python, relational data concepts, or similar technical tools and concepts.

• Proven ability to articulate product strategy, requirements, business logic, and roadmaps for complex data-driven products.

• Strong communication, stakeholder management, and problem-solving skills, with the ability to effectively collaborate across technical, clinical, and business teams.

• Demonstrated capacity to manage product initiatives from discovery to delivery and post-release learning.

• Proven fluency with AI tools as a primary author, with the capability to guide, evaluate, and refine AI-generated product specifications, documentation, and analysis using sound independent judgment.

🏝️ Benefits

• Equity package.

• Annual bonuses.

• Comprehensive health benefits (medical, dental, and vision).

• Flexible spending and health savings accounts.

• Company paid life insurance.

• Company provided short-term and long-term disability.

• Voluntary benefits.

• 401(k).

• Company paid holidays.

• Flexible time off.

• Employee wellness program (“Breathe”).