Technical Product Manager

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.

Skills:- Product Management, Healthcare, Payer, Provider, Care Management, Utilization management, Healthcare Data, Analytics, Healthcare Compliance, HIPAA, PHI, Data-flow analysis, interoperability, Product Strategy, Product Delivery, Technical Product Manager, Platform Product Manager and Healthtech Product Manager