Product Manager

Outcome driven product mindset grounded in healthcare realities and AI /data first thinking
Ability to identify where data analytics and AI improve healthcare outcomes or reduce administrative burden
Roadmap ownership integrating:

Data and interoperability foundations
Analytics and AI enablement
Prioritization informed by clinical impact operational value feasibility and risk
Strong problem framing focused on insight generation automation and scale
FG JD:
Tech Product Manager: Required Experience (Healthcare Emphasis) 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 (HIPAA PHI 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 and care management contexts 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 Deep appreciation for 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 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 and risk Strong problem framing focused on insight generation automation and scale Data Analytics & AI Enablement. Working understanding of: Healthcare data domains (member provider clinical authorization outcomes) 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 (summarization prioritization 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 (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 production scaled adoption in healthcare settings. Technology & Architecture Knowledge of modern architectures supporting healthcare data and AI: APIs microservices cloud platforms Data platforms interoperability layers and 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 and AI platforms Release planning that includes: Data readiness and validation Analytics accuracy. AI model monitoring and compliance checks. Stakeholder & Communication. Trusted partner to business clinical and operations leaders. Clear articulation of tradeoffs risks and value realization