Director - AI/ML Engineering - Hybrid in Minnetonka MN

• Drive end-to-end AI enabled software delivery aligned to business transformation with measurable outcomes within MedicareIQ program
• Partners with business leaders to identify and shape high impact opportunities where AI can drive transformative outcomes. Develops executive ready use cases with clear value propositions and presents them to senior leadership to secure alignment and funding
• Own end-to-end lifecycle delivery of Software Engineering - from problem framing and design through development deployment scaling and optimization of production grade Data Science Machine learning and Agentic AI solutions
• Provide technical leadership ensuring scalable secure and resilient production-ready systems
• Embed responsible and secure AI practices across the delivery lifecycle including governance fairness transparency compliance and adherence while adhering to enterprise security standards
• Build and lead high performing greenfield AI engineering team fostering a culture of innovation continuous learning team mentorship and engineering excellence
• Partner cross-functionally across product finance compliance infrastructure security and business leaders to deliver integrated enterprise-aligned AI solutions
• Communicate AI purpose delivery progress and business impact with clarity and executive presence to senior leadership

• 12+ years of experience in the IT industry with Master's degree in Statistics Computer Science Mathematics Data Science or a related discipline
• 5+ years of enterprise leadership experience defining strategy architecture and delivery across multiple teams
• 3+ years of experience leading largescale applied AI/ML engineering organizations (20-50+ team consisting of engineers data scientists and ML engineers across shores) delivering end-to-end production-grade software platforms
• Proven success with building and operating AI enabled software products-from full stack application development to AI/ML integrated solution-with multi-million-dollar annual budgets in healthcare or similarly regulated environments
• Demonstrated solid business acumen with ability to link AI investments to ROI risk and strategic outcomes
• Demonstrated executive communication skills and ability to influence funding and prioritization decisions

• Proven deep domain expertise in healthcare and regulatory frameworks
• Demonstrated success in scaling GenAI and enterprise-grade ML capabilities across large enterprises
• Proven solid understanding of Medicare regulatory needs including data governance privacy and HIPAA compliance
• Proficiency in solving combinatorial optimization challenges through AI and integrating them into mainstream solutions

What We Do

Optum part of the UnitedHealth Group family of businesses is a global organization that delivers care aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care pharmacy benefits data and resources they need to feel their best. Here you will find a culture guided by inclusion talented peers comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum we support your well-being with an understanding team extensive benefits and rewarding opportunities. By joining us you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.

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