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.