Associate Dir People Technology - Remote

UnitedHealth Group•Eden Prairie, MN

3d•$112,700 - $193,200•Remote

About The Position

The Associate Director, AI Portfolio Enablement is responsible for shaping, structuring, and prioritizing a portfolio of AI opportunities to ensure alignment with business strategy and measurable value outcomes. This role serves as the front-end of an AI orchestration system, translating unstructured demand into clearly defined, decision-ready initiatives with strong business cases, stakeholder alignment, and defined success metrics. This individual brings a blend of strategic thinking, product and portfolio management experience, and strong business acumen. They are skilled at framing complex problems, developing data-driven business cases, and aligning cross-functional stakeholders to drive decisions. The ideal candidate is comfortable operating in ambiguity, influencing senior leaders, and working across business, technology, and data teams to enable scalable AI solutions. UnitedHealth Group is a health care and well-being company that's dedicated to improving the health outcomes of millions around the world. We are comprised of two distinct and complementary businesses, UnitedHealthcare and Optum, working to build a better health system for all. Here, your contributions matter as they will help transform health care for years to come. Make an impact with a team that shares your passion for helping others. Join us to start Caring. Connecting. Growing together. 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 professional experience in product strategy, portfolio management, or solution delivery, including exposure to AI or machine learning–enabled products
Solid experience developing business cases and cost-benefit analyses (CBA), with an ability to translate insights into actionable recommendations
Demonstrated strength in structuring ambiguous problems and converting them into clearly defined, decision-ready opportunities
Ability to prioritize across a portfolio of competing initiatives, balancing value, complexity, and resource constraints
Proven effectiveness leading cross-functional efforts and driving outcomes in complex, matrixed environments
Executive-level communication skills, with a track record of influencing stakeholders and shaping decisions

Nice To Haves

Background in People Team / Human Resource operations or familiarity with workforce-related processes
Experience scaling product organizations or supporting modernization initiatives
Experience contributing to AI, data, or analytics-led transformation efforts at scale
Exposure to data platforms, analytics solutions, or AI/ML-enabled technologies
Comfort operating within governance-driven or regulated environments, including structured approval or funding processes

Responsibilities

Manage and continuously refine a portfolio of AI opportunities, ensuring work is aligned to business strategy and prioritized based on value, feasibility, and readiness
Apply consistent intake, assessment, and normalization processes to translate unstructured AI demand into clearly defined opportunities
Lead opportunity framing, including problem definition, solution hypothesis, stakeholder alignment, and dependency identification
Develop business cases and cost-benefit analyses (CBA), including value hypotheses across financial, operational, workforce, and risk dimensions
Ensure all opportunities are fully defined, aligned, and decision-ready for governance and funding review
Present portfolio recommendations and prioritization rationale to governance forums, influencing funding and sequencing decisions
Develop clear product narratives and executive-ready materials to support decision-making and stakeholder alignment
Support the conversion of validated opportunities into scalable, repeatable solution offerings with clear product narratives and value propositions
Partner closely with delivery teams to ensure smooth transition from opportunity definition into execution
Define initial success metrics, baseline assumptions, and measurement approach
Build and manage relationships with business stakeholders, technology teams, and external partners to drive alignment and adoption