VP, Analytics & Data Strategy | Eden Prairie, MN | Remote

VP, People 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.

Primary Responsibilities:

• Enterprise analytics and decision support
• Workforce data semantics and stewardship
• AI-ready data and data products
• Governance, quality, and risk
• Partnership with technology
• Value realization and measurement
• Leadership

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

What success looks like:

• People data is trusted, governed, and consistently defined across the enterprise
• Workforce analytics is elevated from reporting to strategic decision support
• Priority AI use cases have a clear data-readiness path and do not stall due to weak data ownership
• Business and technical teams are aligned on the split between data meaning and data engineering
• Data quality, stewardship, and observability improve across critical People domains
• Executive leaders have greater confidence in workforce metrics, AI outputs, and decision support
• The People function builds a scalable, AI-ready data foundation that enables transformation at pace

Required Qualifications:

• 12+ years of leadership experience in enterprise analytics, data and analytics, people analytics, data governance, digital transformation, or adjacent strategy roles
• Proven experience leading analytics and/or business data strategy in a complex enterprise environment
• Solid experience owning business data definitions, governance, metrics, and cross-functional stakeholder alignment
• Experience enabling AI, advanced analytics, or intelligent automation through improved data readiness and stewardship
• Solid executive communication skills and ability to translate complex data topics into business decisions and strategic narratives
• Experience working in close partnership with engineering, architecture, product, and technology leaders
• Demonstrated success building teams and operating models across analytics, governance, and decision support

Preferred experience:

• Experience in HR, HRIS, workforce analytics, talent analytics, payroll analytics, or adjacent People domains
• Experience with enterprise platforms such as Oracle HCM, Service Now, Salesforce, Power BI, and cloud data platforms
• Experience in regulated or audit-sensitive environments where data quality, lineage, and governance matter materially
• Familiarity with AI-ready data…