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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Chief Data Officer - **Company:** Optum, 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, Data Strategy, Core Data, Data Management - **Published:** July 31, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87880693/1 ## 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 berequiredto 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'llenjoy 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 * Define and lead the enterprise data strategy aligned to business priorities, operational needs, and AI enablement * Establish enterprise expectations for data readiness to support advanced analytics, AI, and decisioning * Establish and enforce enterprise data standards, governance policies, and clear decision rights across a federated environment * Define the enterprise data operating model, clarifying roles, accountability, and ownership across central and business teams * Partner with CIOs, business leaders, and technology teams to align priorities and drive execution * Lead enterprise investment priorities across data platforms, governance, and core data capabilities 2. Data Governance, Trust & Responsible AI * Establish enterprise-wide governance frameworks covering data quality, metadata, lineage, interoperability, and access * Define and enforce expectations for data stewardship, security, and compliance, with clear enterprise guardrails in a federated model * Adhere to standards for responsible AI, including transparency, accountability, model oversight, and risk management * Partner with legal, compliance, risk, and security teams to ensure adherence to regulatory and policy requirements 3. Platforms & Enterprise Data Capabilities * Define the enterprise data platform strategy to support scalable, reusable, and timely access to data across analytics, AI, and operations * Set direction for enterprise data architecture and core data management capabilities (data quality, metadata, master data, lineage, lifecycle management, and access) * Enable data-as-a-product capabilities, ensuring data is discoverable, reusable, and aligned to business use cases * Define shared data services that enable consistent data management across business units * Ensure enterprise data platforms are secure, resilient, and aligned with business and regulatory needs 4. Business Value & Transformation * Translate data strategy into measurable business impact, including improved decision-making, operational efficiency, and customer outcomes * Increase adoption of trusted data assets and reusable enterprise capabilities * Identify and prioritize high-value opportunities where data and AI can drive transformation * Set the standand and support the shift from reporting-centric data usage toward AI-enabled data insights, and Gen-Bi capabilities * Set standards and prepare data assets for agent usage as we pivot to AI-native operating models, including semantic layer, knowledge graphs, RAG, etc. * Define and track KPIs that demonstrate the impact and effectiveness of enterprise data investments 5. Executive Engagement & External Leadership * Advise executive leadership on data, AI, governance, and enterprise priorities through clear, actionable recommendations * Lead enterprise forums and discussions related to data strategy, risk, and investment decisions * Represent UnitedHealth Group in industry organizations, partnerships, and external forums 6. Organizational Leadership * Lead and develop a multi-disciplinary enterprise data organization spanning governance, architecture, engineering, and data capabilities * Define organizational structure, talent strategy, and operating discipline aligned to enterprise priorities * Build leadership capability and foster a culture of accountability, collaboration, and continuous improvement * Ensure effective coordination between the central Data Office and federated business teams You'llbe 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 asprovidedevelopment for other roles you may be interested in. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Smart City, Smart Mobility](https://www.wearedevelopers.com/videos/954-smart-city-smart-mobility) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)