Principal Product Manager

Oracle Oracle · Enterprise · United States

Product Manager for healthcare data interoperability (QHIN/TEFCA) focusing on operational stability, compliance, and strategic growth. The role involves leading onboarding, serving as a subject matter expert, building relationships, coordinating governance, resolving issues, monitoring network performance, driving operational excellence, supporting growth initiatives, and designing AI-driven optimization for processes and decision support. Also involves competitive market analysis.

What you'd actually do

  1. Lead onboarding, vetting, and activation of Oracle customers, partners, and ecosystem participants, ensuring alignment with TEFCA requirements, operational standards, and service-level expectations.
  2. Serve as a subject matter expert for QHIN and TEFCA operations, including exchange workflows, Exchange Purpose (XP) conformance, FHIR-based interoperability, and Identity and Access Services (IAS) processes.
  3. Build and maintain strategic relationships with QHINs, industry organizations, regulators, and interoperability stakeholders to advance ecosystem collaboration and TEFCA participation.
  4. Design and lead AI-driven optimization and innovation initiatives to automate and accelerate onboarding, vetting, and activation processes, implement predictive monitoring and anomaly detection for exchange reliability and SLA risk, and embed ML-powered decision support across governance, remediation, and partner engagement to continuously reduce friction, improve interoperability outcomes, and scale TEFCA participation.
  5. Develop and lead competitive and market QHIN intelligence efforts to analyze adoption trends, competitor strategies, regulatory shifts, and ecosystem gaps; translate insights into directional strategy, prioritized go-to-market plays, and identification of niche opportunities to accelerate differentiated TEFCA participation and customer adoption.

Skills

Required

  • Healthcare data interoperability
  • QHIN and TEFCA operations
  • FHIR-based interoperability
  • Identity and Access Services (IAS)
  • Product management
  • Strategic planning
  • Stakeholder management
  • Analytical intelligence
  • Regulatory compliance
  • Network operations
  • Go-to-market strategies
  • Machine Learning concepts
  • AI optimization

Nice to have

  • Customer onboarding and vetting
  • Process standardization and automation
  • Competitive market analysis

What the JD emphasized

  • healthcare data interoperability expert
  • QHIN
  • TEFCA
  • AI-driven optimization and innovation initiatives
  • automate and accelerate onboarding, vetting, and activation processes
  • predictive monitoring and anomaly detection
  • ML-powered decision support

Other signals

  • AI-driven optimization and innovation initiatives
  • automate and accelerate onboarding, vetting, and activation processes
  • implement predictive monitoring and anomaly detection for exchange reliability and SLA risk
  • embed ML-powered decision support across governance, remediation, and partner engagement