VP, Analytics & Data Strategy

United Health 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, United Healthcare 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.

The VP, People Analytics & Data Strategy will lead the People function's enterprise analytics, workforce data semantics, and AI data readiness agenda. This leader will be accountable for ensuring People data is trusted, well-governed, business-relevant, and fit for use across analytics, decision support, AI, and intelligent workflows.

This is not a traditional reporting role. It is a strategic leadership role at the intersection of workforce analytics, data stewardship, AI readiness, and business decision support. The VP will own the business meaning of People data, the semantic consistency of metrics and KPIs, the readiness of data for priority AI use cases, and the translation of data into decision support and measurable business value.

The role will work in close partnership with Tech partners, COEs, Shared Services, AI Enablement, and other key partners. People-side ownership of data meaning and stewardship will sit here; technical architecture, engineering, and runtime sits with Tech.

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.

• Lead the People analytics and workforce insights agenda in support of enterprise, functional, and executive decision-making
• Deliver high-impact workforce reporting, dashboards, scorecards, and insights that inform strategic decisions across talent, workforce, payroll, productivity, and organizational effectiveness
• Shape executive and board-ready workforce narratives, including trend analysis, scenario support, and strategic storytelling
• Establish clear standards for insight quality, metric consistency, and business interpretation

• Own the business meaning, stewardship, and source-of-truth logic for People data across major domains including Core HR, Talent Acquisition, Talent, Learning, Payroll, Time, and Employee Support
• Define and govern metric logic, KPI definitions, business rules, and semantic consistency across the People ecosystem
• Establish a People data stewardship model, including domain accountability, issue resolution, and governance mechanisms
• Partner with COEs and Shared Services to ensure critical business rules and source data requirements are clearly defined and maintained

• Lead the People-side AI data strategy, ensuring data is fit for purpose for priority AI use cases, agent workflows, and intelligent automation
• Assess and prioritize AI data-readiness needs for key use cases, including structured and unstructured data, enrichment, metadata, lineage, and observability requirements
• Define the backlog of People data products and improvements required to enable AI-first HR capabilities
• Partner with AI Enablement and People Tech to align data priorities to product roadmap and AI use-case strategy

• Establish and enforce business-facing governance for People data quality, stewardship, privacy, and appropriate use
• Define business quality thresholds and monitor data issues that impact trust, analytics, or AI deployment
• Partner with Tech, Privacy, Compliance, and Security teams to ensure People data governance aligns with enterprise controls and AI governance requirements
• Help shape the People function's role in AI governance, especially where workforce data supports sensitive decisions or employee-facing experiences

• Partner with Optum Tech on enterprise data engineering, platform architecture,…