Technical Product Manager

Job TitleRequired 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 changeHealthcare Domain Expertise • Strong understanding of healthcare operations and workflows across payer, provider, and care management ecosystems • Familiarity with core healthcare domains, including: Utilization Management (UM), Care Management / Case Management, Prior Authorization • Ability to translate clinical and operational workflows into scalable digital solutions • Deep understanding of regulatory, compliance, and patient safety considerations influencing product decisionsProduct 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: Core healthcare capabilities, Data and interoperability frameworks, 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 solutionsData, Analytics & AI Enablement • Working knowledge of healthcare data domains, including: 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: Enable reliable reporting and healthcare analytics, Support data-driven decision making through insights and AI-powered summarization • Experience defining product requirements for: Operational and clinical dashboards, KPIs aligned to quality, cost, efficiency, and experience, AI-enabled analytics (summarization, prioritization, decision support) • Awareness of challenges related to data quality, lineage, interoperability, and adoption in healthcare environmentsAI & Automation in Healthcare • Understanding of key AI use cases in healthcare, including: Clinical and operational summarization, Decision support systems (human-in-the-loop) • Ability to apply automation and AI to reduce manual effort, improve accuracy, and enhance care outcomes