JD:
Required Experience (Healthcare Focus)
• 10+ years of experience in technology product management or platform product roles
• Proven track record of delivering healthcare technology products end-to-end
• Direct experience with healthcare data, analytics, or AI-enabled solutions
• Hands-on experience operating within regulated environments (HIPAA, PHI, healthcare compliance)
• Demonstrated ability to lead complex healthcare programs amidst ambiguity and organizational change
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Healthcare Domain Expertise
• Strong understanding of healthcare operations and workflows across payer, provider, and care management ecosystems
• Familiarity with core healthcare domains, including:
o Utilization Management (UM)
o Care Management / Case Management
o Prior Authorization
• Ability to translate clinical and operational workflows into scalable digital solutions
• Deep understanding of regulatory, compliance, and patient safety considerations influencing product decisions
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Product Strategy & Execution
• Outcome-driven product mindset with a strong foundation in healthcare and data/AI-first thinking
• Ability to identify opportunities where data, analytics, and AI can improve outcomes and reduce administrative burden
• Ownership of product roadmap encompassing:
o Core healthcare capabilities
o Data and interoperability frameworks
o Analytics and AI enablement
• Strong prioritization skills based on clinical impact, operational value, technical feasibility, and risk
• Expertise in problem framing, with focus on insight generation, automation, and scalable solutions
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Data, Analytics & AI Enablement
• Working knowledge of healthcare data domains, including:
o Member, provider, clinical, authorization, and outcomes data
• Understanding of data flows across payer, provider, and partner ecosystems
• Experience collaborating with data engineering, analytics, and AI teams to:
o Enable reliable reporting and healthcare analytics
o Support data-driven decision making through insights and AI-powered summarization
• Experience defining product requirements for:
o Operational and clinical dashboards
o KPIs aligned to quality, cost, efficiency, and experience
o AI-enabled analytics (summarization, prioritization, decision support)
• Awareness of challenges related to data quality, lineage, interoperability, and adoption in healthcare environments
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AI & Automation in Healthcare
• Understanding of key AI use cases in healthcare, including:
o Clinical and operational summarization
o Decision support systems (human-in-the-loop)
• Ability to apply automation and AI to reduce manual effort, improve accuracy, and enhance care outcomes