Principal Product Manager Data and Analytics Healthcare

HarmonyCares•,

4d•$180,000 - $220,000

About The Position

HarmonyCares is a leading national value-based provider of in-home primary care services for people with complex healthcare needs. Headquartered out of Troy, Michigan, HarmonyCares operates home-based primary care practices in 14 states. HarmonyCares employs more than 200+ primary care providers to deliver patient-centered care under an integrated, team-based, physician-driven model. Our Mission– To bring personalized, quality-based healthcare to the home of patients who have difficult accessing care. Our Shared Vision– Every patient deserves access to quality healthcare. Our Values– The way we care is our legacy. Every interaction counts. Go the extra mile. Empower and support each other. The Principal Product Manager, Data & Analytics is responsible for defining and executing the strategy for HarmonyCares' enterprise data platform and analytics capabilities. This role owns the data foundation that powers analytics, operational decision-making, AI-driven capabilities and enterprise reporting across the organization. This role is accountable for the strategy, evolution, and adoption of trusted, accessible, governed, and scalable data capabilities. This position partners closely with Tech, Actuarial, Clinical, and Operations teams to create a modern data ecosystem that improves decision-making, supports better patient outcomes, and enables enterprise growth.

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
7+ years of product management experience (with at least 3 years in a healthcare technology or services setting) with a strong focus on data products and analytics.
3+ years of healthcare data experience, including familiarity with integration, data quality, compliance, claims data, HL7 data, file ingestion, ETL, and import/export paradigms
Strong understanding of enterprise data platforms, data products, APIs, integration-heavy systems, and data accessibility patterns
Ability to understand and reason about distributed systems, data pipelines, system architecture, and data platform operating models
Comfort debugging issues, analyzing system behavior, and working directly with engineers and data teams on technical problems
Strong 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

Nice To Haves

Familiarity with cloud-based data platforms, modern data architecture, and self-service analytics capabilities preferred
Master’s degree in business administration, Computer Science, Data Science, Engineering, Information Systems, or a related field
Prior experience supporting or enabling AI/ML-driven products through strong data foundations
Prior experience designing and delivering analytics, operational insights, forecasting, capacity management, panel management, quality programs, clinical insights, and AI initiatives

Responsibilities

Define platform capabilities required to support scalable, governed, trusted, and accessible data across the organization
Work closely with stakeholders to establish processes and capabilities that improve confidence in operational, clinical, financial, and actuarial data
Improve discoverability, usability, and adoption of enterprise data products and self-service analytics capabilities
Build foundational capabilities that support analytics, enterprise reporting, machine learning, and AI-powered solutions
In partnership with clinical and operational leadership, continue to evolve the HarmonyCares Enterprise Performance Management Framework for delivery of actionable insights