Technical Product Manager (Remote)

Technical Product Manager – Healthcare Required Experience 5+ years in technology product or platform product roles. Demonstrated experience delivering healthcare technology products. Direct exposure to healthcare data, analytics, or AI-enabled solutions. Experience operating in regulated environments, including HIPAA, PHI, and healthcare compliance. Proven ability to lead complex healthcare initiatives through ambiguity and change. Healthcare Domain Expertise Strong understanding of healthcare operations and workflows, including: Payer Provider Care Management Familiarity with healthcare domains such as: Utilization Management (UM) Care Management / Case Management Prior Authorization Ability to translate clinical and operational workflows into scalable technology solutions. Strong understanding of regulatory, compliance, and patient safety considerations in product decisions. Product & Strategy Outcome-driven product mindset grounded in healthcare realities and AI/data-first thinking. Ability to identify where data, analytics, and AI can improve healthcare outcomes or reduce administrative burden. Roadmap ownership integrating: Core healthcare capabilities Data and interoperability foundations Analytics and AI enablement Prioritization informed by: Clinical impact Operational value Feasibility Risk Strong problem framing focused on insight generation, automation, and scale. Data, Analytics & AI Enablement Working understanding of: Healthcare data domains, including member, provider, clinical, authorization, and outcomes data. Data flows across payer, provider, and partner systems. Ability to partner with Data Engineering, Analytics, and AI teams to: Enable reliable healthcare analytics and reporting. Support decision-making through insights and AI-assisted summarization. Experience defining requirements for: Operational and clinical dashboards. KPIs tied to quality, efficiency, cost, and experience. AI-enabled analytics, including summarization, prioritization, and decision support. Awareness of data quality, lineage, interoperability, and adoption challenges in healthcare. AI & Automation in Healthcare Understanding of AI use cases relevant to healthcare: Clinical and operational summarization. Decision support with human-in-the-loop. Workflow automation and prioritization. Ability to balance innovation with: Responsible AI practices. Explainability and auditability. Regulatory and ethical considerations. Experience guiding AI from pilot to production to scaled adoption in healthcare settings. Technology & Architecture Knowledge Understanding of modern architectures supporting healthcare data and AI: APIs Microservices Cloud platforms Data platforms Interoperability layers Integration patterns Ability to evaluate build vs. buy vs. reuse with healthcare constraints in mind. Comfort navigating legacy systems, technical debt, and complex integrations common in healthcare ecosystems. Delivery & Execution Agile / SAFe execution with emphasis on progress, readiness, and adoption. Strong dependency and risk management across: Product teams Data pipelines Analytics platforms AI platforms Release planning that includes: Data readiness and validation. Analytics accuracy. AI model monitoring. Compliance checks. Stakeholder & Communication Trusted partner to business, clinical, and operations leaders. Clear articulation of trade-offs, risks, and value realization.