Senior Engineering Manager – Oracle Health AI & Reimbursement Platform

Oracle Oracle · Enterprise · United States

Senior Engineering Manager for Oracle Health's AI & Reimbursement Platform. This role involves leading a global engineering team to develop and scale cloud-native healthcare solutions, with a strong focus on integrating AI, intelligent automation, and agentic workflows into reimbursement products. The manager will partner with AI Engineering and Data Science teams, drive product roadmap evolution, and ensure operational excellence for mission-critical healthcare systems.

What you'd actually do

  1. Lead a globally distributed engineering team responsible for both product development and production support.
  2. Drive the evolution of the reimbursement product roadmap, influencing future functionality, platform modernization, and customer value.
  3. Partner closely with AI Agent and Data Science teams to develop intelligent automation, agentic workflows, conversational AI capabilities, and next-generation reimbursement solutions.
  4. Help modernize healthcare operations through cloud-native architectures and AI-powered innovation.
  5. Own engineering accountability across the full product lifecycle, from strategy and development through operational support and customer success.

Skills

Required

  • Cloud-native software services
  • Product development
  • Production support
  • Scalable cloud architectures
  • Kubernetes
  • Microservices
  • APIs
  • Distributed systems
  • Leadership of globally distributed engineering teams
  • Product strategy and roadmap definition
  • Operational leadership
  • Cloud transformation

Nice to have

  • AI
  • Machine learning
  • Intelligent automation
  • Conversational AI
  • Agentic workflows
  • Healthcare technology
  • Electronic Health Records (EHR)
  • Revenue Cycle Management
  • Reimbursement Platforms
  • Healthcare Financial Systems
  • Provider or Payer Technology Solutions
  • Clinical or Operational Healthcare Applications

What the JD emphasized

  • partner closely with AI Agent and Data Science teams
  • develop intelligent automation, agentic workflows, conversational AI capabilities
  • drive the adoption of agentic workflows, AI-powered assistants, and automation capabilities
  • leverage AI to improve operational efficiency, user experience, and business outcomes
  • highly regulated healthcare environments

Other signals

  • partner closely with AI Engineering and Data Science teams
  • develop intelligent automation, agentic workflows, conversational AI capabilities
  • leverage AI to improve operational efficiency
  • drive the adoption of agentic workflows, AI-powered assistants, and automation capabilities