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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Chief Data Officer - **Company:** Unitedhealth Group Inc - **Location:** Eden Prairie, MN, United States (Remote available) - **Experience:** Expert - **Salary:** $225,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Architecture, Data Governance, Data Integrity, Data Sharing, Digital Assets, Graph Database, Interoperability, Metadata, Enterprise Data Management, Retrieval-Augmented Generation, Data Strategy, Core Data, Data Management - **Published:** October 26, 2026 - **Apply:** https://www.businessworkforce.com/job.asp?id=3466803006&tx=HT7973TTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 15+ years of leadership experience in data, analytics, governance, and/or technology/AI * Proven experience leading enterprise data strategy and transformation in a large, complex, global, matrixed organization * Demonstrated success operating in federated models with clear governance and decision frameworks * Deep expertise in data governance, data management, and enterprise data platforms * Direct experience successfully enabling analytics and AI through enterprise data capabilities * Depth of knowledge of regulatory, privacy, and compliance requirements * Proven ability to influence executive stakeholders and deliver measurable business impact * Exceptional communication, leadership, and change management skills *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. ## Description The Chief Data Officer (CDO) is responsible for setting and executing UnitedHealth Group's enterprise data strategy to improve data reliability, accessibility, and business value across the organization. This role defines how data is governed, managed, and used to enable enterprise operations, analytics, and AI at scale. The CDO will reorient the enterprise toward data readiness as a foundational requirement for AI and operational execution, ensuring data is reliable, accessible, and fit for high-value use cases. Operating within a federated model, the CDO establishes enterprise standards, shared capabilities, and decision frameworks while partnering with business and technology leaders to drive adoption and measurable outcomes. 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., 1. Enterprise Data Strategy & Operating Model 2. Define and lead the enterprise data strategy aligned to business priorities, operational needs, and AI enablement 3. Establish enterprise expectations for data readiness to support advanced analytics, AI, and decisioning 4. Establish and enforce enterprise data standards, governance policies, and clear decision rights across a federated environment 5. Define the enterprise data operating model, clarifying roles, accountability, and ownership across central and business teams 6. Partner with CIOs, business leaders, and technology teams to align priorities and drive execution 7. Lead enterprise investment priorities across data platforms, governance, and core data capabilities 8. Data Governance, Trust & Responsible AI 9. Establish enterprise-wide governance frameworks covering data quality, metadata, lineage, interoperability, and access 10. Define and enforce expectations for data stewardship, security, and compliance, with clear enterprise guardrails in a federated model 11. Adhere to standards for responsible AI, including transparency, accountability, model oversight, and risk management 12. Partner with legal, compliance, risk, and security teams to ensure adherence to regulatory and policy requirements 13. Platforms & Enterprise Data Capabilities 14. Define the enterprise data platform strategy to support scalable, reusable, and timely access to data across analytics, AI, and operations 15. Set direction for enterprise data architecture and core data management capabilities (data quality, metadata, master data, lineage, lifecycle management, and access) 16. Enable data-as-a-product capabilities, ensuring data is discoverable, reusable, and aligned to business use cases 17. Define shared data services that enable consistent data management across business units 18. Ensure enterprise data platforms are secure, resilient, and aligned with business and regulatory needs 19. Business Value & Transformation 20. Translate data strategy into measurable business impact, including improved decision-making, operational efficiency, and customer outcomes 21. Increase adoption of trusted data assets and reusable enterprise capabilities 22. Identify and prioritize high-value opportunities where data and AI can drive transformation 23. Set the standand and support the shift from reporting-centric data usage toward AI-enabled data insights, and Gen-Bi capabilities 24. Set standards and prepare data assets for agent usage as we pivot to AI-native operating models, including semantic layer, knowledge graphs, RAG, etc. 25. Define and track KPIs that demonstrate the impact and effectiveness of enterprise data investments 26. Executive Engagement & External Leadership 27. Advise executive leadership on data, AI, governance, and enterprise priorities through clear, actionable recommendations 28. Lead enterprise forums and discussions related to data strategy, risk, and investment decisions 29. Represent UnitedHealth Group in industry organizations, partnerships, and external forums 30. Organizational Leadership 31. Lead and develop a multi-disciplinary enterprise data organization spanning governance, architecture, engineering, and data capabilities 32. Define organizational structure, talent strategy, and operating discipline aligned to enterprise priorities 33. Build leadership capability and foster a culture of accountability, collaboration, and continuous improvement 34. Ensure effective coordination between the central Data Office and federated business teams 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.