Key skills
AI product managementHealthcare AI expertiseHealthcare data standardsHIPAA complianceMLOps practicesPythonGenAI applicationsStrategic visionCompliance mindsetLeadership & influenceTeam leadershipAIMachine LearningMLGenAIMLOpsAnalyticsProduct ManagementCommunication
About this role
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. They are seeking a Director of AI Product Management to lead the strategy, roadmap, and execution of AI-driven healthcare products, leveraging machine learning and predictive analytics to improve patient outcomes. The role involves collaborating with various teams to build scalable and secure AI products while ensuring compliance with healthcare regulations.
Responsibilities:
- Define the AI product vision and strategy aligned with organizational goals and healthcare market trends
- Build and manage a portfolio of AI products (e.g., clinical decision support, patient engagement, predictive analytics)
- Drive innovation in GenAI applications for clinical documentation, summarization, and patient communication
- Develop and maintain multi-year product roadmaps for AI solutions
- Prioritize features based on clinical impact, regulatory compliance, and ROI
- Partner with TPMs and engineering to ensure timely delivery and quality
- Translate clinical workflows and pain points into AI product requirements
- Ensure solutions comply with HIPAA, HITECH, FDA AI/ML guidelines, and other healthcare regulations
- Implement Responsible AI principles: fairness, explainability, bias mitigation, and auditability
- Collaborate with clinical leaders, payers, providers, and internal teams to gather insights and validate solutions
- Communicate product vision and progress to executives and external partners
- Build and mentor a team of AI product managers
- Establish best practices for AI product lifecycle, including model evaluation and monitoring
Requirements:
- 10+ years in product management, with 5+ years in AI/ML and healthcare
- Proven track record of launching AI-powered healthcare products
- Deep understanding of healthcare data standards (HL7, FHIR, DICOM) and interoperability
- Familiarity with ML fundamentals, GenAI, and MLOps practices
- Solid knowledge of HIPAA compliance, PHI handling, and secure architectures
- Advanced degree in Computer Science, Biomedical Informatics, or related field; MBA
- Experience with FDA regulatory pathways for AI/ML and clinical validation
- Hands-on exposure to Python, healthcare AI frameworks, and model explainability tools
- Familiarity with payer/provider systems, EHR platforms (Epic, Cerner), and population health analytics