Senior Product Manager, Data Platform

MCG Health is a leading healthcare organization dedicated to patient-focused care. As a Senior Product Manager for the Data Platform, you will own product direction for data platform capabilities, focusing on making healthcare data usable across various environments and leading cross-functional teams to deliver scalable data products.

Responsibilities:

• Define and execute the data product strategy and roadmap aligned with company objectives, customer needs, and data-driven growth opportunities
• Develop business cases and investment recommendations for new platform capabilities, data services, and strategic enhancements that improve scalability, interoperability, and customer value
• Lead cross-functional teams to deliver scalable data products and insights solutions
• Translate business requirements into data product capabilities, prioritizing initiatives that drive measurable business outcomes
• Partner with engineering and analytics teams to develop, launch, and optimize data platforms, reporting solutions, and advanced analytics products
• Conduct market research, customer discovery, and competitive analysis to identify emerging data opportunities and inform product investments
• Define and monitor KPIs for data products, leveraging analytics to measure performance, user adoption, business impact, and continuous improvement opportunities
• Evaluate new data monetization opportunities, develop business cases, and assess financial impact for data-driven offerings and partnerships
• Collaborate with Sales, Marketing, Customer Success, and Partner teams to understand customer needs and uncover opportunities for data-enabled solutions
• Develop data product positioning, value propositions, and go-to-market strategies to drive adoption and revenue growth
• Partner directly with customers and strategic accounts to gather requirements, validate product-market fit, and identify opportunities for innovation
• Serve as the voice of the customer and business stakeholder, ensuring data products deliver actionable insights, usability, trust, and measurable value
• Lead stakeholder presentations, product demonstrations, and roadmap discussions to drive alignment, adoption, and engagement
• Collaborate with Customer Success, Account Management, and Sales teams to identify expansion opportunities and maximize the value of data products and analytics solutions

Requirements:

• Bachelor's degree in business, computer science, information systems, healthcare informatics, public health, data science, engineering, or a related field, or equivalent practical experience
• At least 5 years of product management experience, including ownership of technical products or platform capabilities
• Product background in data platforms, data products, interoperability, APIs, analytics, enterprise software, or healthcare technology
• Healthcare data background in payer, provider, or health technology settings
• Working knowledge of healthcare data domains such as claims, eligibility, authorizations, encounters, clinical documentation, quality, utilization management, provider, member, or patient data
• Familiarity with healthcare data exchange methods or standards, including HL7, FHIR, X12, APIs, flat files, EHR extracts, or clinical terminology
• Ability to write product requirements for data ingestion, mapping, validation, governance, delivery, reporting, or downstream use
• Sound judgment when data quality, privacy, security, compliance, permissions, and customer needs are in tension
• Ability to explain healthcare data concepts, platform decisions, risks, and tradeoffs to technical and non-technical audiences
• Prior work with utilization management, prior authorization, care management, clinical review, documentation, revenue integrity, or payer-provider handoffs
• Familiarity with EHR, claims, authorization, care management, revenue cycle, interoperability, or healthcare data platform systems
• Background building capabilities used by partners, implementation teams, third-party applications, or customer-configured workflows
• Understanding of audit trails, data lineage, evidence traceability, or other requirements for defensible healthcare workflow outputs
• Familiarity with data rights, de-identification, aggregation, customer-contributed data, or regulated healthcare data governance
• Familiarity with AI-assisted development or agentic tooling, such as Claude Code, Codex, or similar tools used for product discovery, workflow analysis, prototyping, or technical collaboration