Director, AI Strategy and Transformation - Remote

UnitedHealth Group•Eden Prairie, MN

14h•$134,600 - $230,800•Remote

About The Position

The Director, AI Strategy & Transformation will partner closely with senior leaders across business and technology to identify high-impact AI opportunities and lead key strategic initiatives that define and operationalize how AI is applied across the enterprise to improve care delivery and health outcomes, enhance member and provider experiences, and increase operational efficiency. In this role, you will translate emerging technologies and market trends into actionable strategies, support investment decisions, and contribute to governance and prioritization of the enterprise AI portfolio to ensure alignment and measurable impact. You will also help define how AI capabilities are deployed and scaled across the enterprise. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Requirements

8+ years of progressive experience in enterprise business strategy, including leadership roles within top tier management consulting, investment banking, or corporate strategy functions supporting large, matrixed organizations
5+ years of experience in elite management consulting environments (e.g., McKinsey, Bain, BCG, or equivalent), with demonstrated progression in responsibility and client impact
4+ years of workstream leadership experience, including directing multi disciplinary teams, coaching high performing talent, and influencing outcomes across functions without formal authority.
4+ years leading highly complex, cross enterprise initiatives within Fortune 100 organizations, accountable for defining strategy, driving execution, and delivering measurable business outcomes (e.g., corporate/growth strategy, business model innovation, multi million dollar value creation, operating model transformation, or enterprise cost reduction)
4+ years of direct engagement and presentation experience with Executive Leadership (VP, SVP, C suite), including shaping decision ready materials and influencing strategic direction
3+ years of healthcare industry experience with deep exposure to payer and/or provider strategy, economics, and operations
Solid working knowledge of AI, advanced analytics, and emerging technologies, with experience evaluating opportunities, defining use cases, and advising leaders on strategic adoption and value realization
Demonstrated track record translating ambiguous, systemic business challenges into enterprise level strategies, structured analyses, and scalable initiatives across business, data, and technology organizations

Nice To Haves

MBA and/or other advanced degrees (e.g., MD, PhD, JD, Master’s)
Experience working with startups, VC firms, or external partners to source and scale innovation
Advanced executive communication skills, including synthesizing complex insights into concise, compelling narratives that drive alignment, commitment, and investment decisions
Proven exceptional emotional intelligence, stakeholder management, and executive presence, with proven ability to build trust, manage tension, and align senior leaders across competing priorities

Responsibilities

Partner with senior business and technology leaders to shape UHG’s enterprise AI strategy and identify AI-enabled opportunities across business lines
Identify, prioritize, and develop business cases for high-value AI opportunities across growth, operations, and experience
Lead strategic initiatives to translate AI strategies into structured initiatives, pilots, and scalable programs
Shape and communicate UHG’s enterprise AI narrative for senior executives and external stakeholders, including contributions to Board materials
Define and evolve enterprise AI operating models and governance, including decision rights, ways of working, and approaches to scaling AI capabilities
Manage the AI portfolio as an integrated enterprise transformation effort, aligning initiatives across business, operations, and technology while driving prioritization and clarity of ownership across competing opportunities
Provide clear visibility into enterprise AI priorities, progress, and risks through executive-level reporting, including tracking key milestones and value realization across initiatives
Enable the scaling of AI use cases from pilot to enterprise adoption, ensuring solutions are embedded into business workflows and deliver measurable impact.
Engage with startups, venture capital partners, and ecosystem players to stay current on emerging technologies and translate insights into clear recommendations for enterprise priorities
Support the development of partnerships and select strategic investments with technology providers, startups, and external partners to accelerate AI