Principal Product Manager – Data and Analytics, Healthcare

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Develop and implement the strategy for HarmonyCares’ enterprise data platform and analytics capabilities.

• Oversee the data foundation that supports analytics, operational decision-making, AI-driven capabilities, and enterprise reporting.

• Create the product strategy, roadmap, and execution plan for the enterprise data platform and analytics stack.

• Establish platform capabilities that ensure scalable, governed, trusted, and accessible organizational data.

• Implement processes and capabilities that enhance confidence in operational, clinical, financial, and actuarial data.

• Enhance the discoverability, usability, and adoption of enterprise data products and self-service analytics.

• Develop foundational capabilities that support analytics, enterprise reporting, machine learning, and AI-powered solutions.

• Advance the HarmonyCares Enterprise Performance Management Framework to provide actionable insights.

• Collaborate with Technology, Actuarial, Clinical, Operations, Finance, Security, executive teams, vendors, and consultants.

⛳️ Requirements

• Bachelor’s degree in computer science, Engineering, Information Systems, Data Science, Business, Healthcare Administration, or a related field, or equivalent combination of education and relevant professional experience.

• Over 7 years of product management experience, with a minimum of 3 years in a healthcare technology or services environment, focused on data products and analytics.

• More than 3 years of healthcare data experience, including knowledge of integration, data quality, compliance, claims data, HL7 data, file ingestion, ETL, and import/export paradigms.

• Strong grasp of enterprise data platforms, data products, APIs, integration-heavy systems, and data accessibility patterns.

• Ability to comprehend and reason about distributed systems, data pipelines, system architecture, and data platform operating models.

• Comfort in debugging issues, analyzing system behavior, and collaborating directly with engineers and data teams on technical challenges.

• Deep understanding of claims data, HL7 data, healthcare data quality, governance, privacy, security, and compliance considerations.

• Knowledge of platform reliability, scalability, observability, performance, and operational excellence practices.

• Strong analytical, problem-solving, communication, and stakeholder management skills.

• Familiarity with cloud-based data platforms, modern data architecture, and self-service analytics capabilities is preferred.

• A Master’s degree in business administration, Computer Science, Data Science, Engineering, Information Systems, or a related field is preferred.

• Previous experience supporting or enabling AI/ML-driven products through robust data foundations.

• Experience designing and delivering analytics, operational insights, forecasting, capacity management, panel management, quality programs, clinical insights, and AI initiatives.

🏝️ Benefits

• Health, Dental, Vision, Disability & Life Insurance.

• 401K Retirement Plan (with company match).

• Tuition, Professional License and Certification Reimbursement.

• Paid Time Off, Holidays, and Volunteer Time.

• Paid Orientation and Training.