VP AI/ML Engineering

UnitedHealth Group•Eden Prairie, MN

29d•Hybrid

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. The VP, AI/ML Engineering is a strategic leadership role responsible for defining, building, and delivering an AI strategy and roadmap that aligns with enterprise business priorities. You will collaborate with senior technology and business leaders to influence an AI-driven agenda, including innovation and high-value use cases that deliver measurable impact. This role requires a visionary leader who can drive AI adoption, anticipate emerging trends, and guide responsible implementation at scale. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires within 30 minutes of an office in Minnesota or Washington, D.C., you'll be required to work a minimum of four days per week in-office.

Requirements

Proven experience in senior leadership roles driving enterprise AI strategy
Demonstrated ability to influence executive stakeholders and align AI initiatives with business objectives
Solid understanding of AI/ML trends, applications, and governance best practices along with solid technical background in AI
Experience in complex environments (regulated preferred)
Exceptional communication skills, with the ability to simplify complex concepts for diverse audiences
Track record of leading cross-functional teams and driving organizational change
All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Responsibilities

Strategic Leadership: Define and deliver a comprehensive AI strategy and roadmap aligned with enterprise goals, ensuring accountability for outcomes
Executive Collaboration: Partner with senior leaders to shape and prioritize an AI agenda focused on innovation and business value
Innovation & Value Realization: Identify and advance high-impact AI opportunities, from proof of concept through scaled deployment
Governance & Responsible AI: Establish frameworks for responsible AI, risk management, and compliance to ensure ethical and secure adoption
External Engagement: Maintain awareness of industry trends and emerging technologies to inform strategy and accelerate adoption
Team Leadership: Lead and grow a multidisciplinary team, fostering a culture of innovation, collaboration, and delivery excellence