VP, AI Transformation2371455 | Eden Prairie, Minnesota | Remote

VP, AI Transformation

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives.

Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

The VP, AI Transformation will lead the design and delivery of enterprise AI transformation programs across Finance, LCRA, Marketing, People, Government Affairs, and other corporate functions. The initial priority will be Finance, partnering closely with the CFO organization to modernize core processes, data, platforms, and ways of working through AI, automation, and digital technology.

This is a leadership role in our technology organization for someone who has successfully partnered with Finance (or other corporate function) executives and teams to deliver large-scale transformation. The ideal candidate has led technology, data, AI, or digital product organizations and understands how Finance operates across areas such as FP&A, controllership, accounting, treasury, tax, procurement, and financial reporting.

You will own the technology strategy, transformation portfolio, and delivery model for corporate functions. You will work at the intersection of business leadership, enterprise technology, data, engineering, cybersecurity, risk, and external partners. You will be accountable not only for deploying AI solutions, but also for establishing the architecture, data foundations, governance, reusable platforms, and internal capabilities required to scale them safely and economically.

Success will be measured by business outcomes: improvements in productivity, decision quality, forecast accuracy, control effectiveness, employee experience, speed, and cost-not by the number of pilots or technologies deployed.

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:

• Serve as the senior technology partner to the CFO and Finance leadership team
• Develop and own a multi-year AI and technology transformation roadmap for Finance, aligned with Finance strategy, enterprise architecture, and business priorities
• Identify and prioritize high-value opportunities across FP&A, controllership, accounting operations, treasury, tax, procurement, financial reporting, and Finance shared services
• Modernize Finance workflows by combining AI, intelligent automation, data products, enterprise platforms, and process redesign
• Lead initiatives such as automated close and reconciliation, intelligent forecasting and scenario planning, management reporting, spend analytics, working-capital optimization, financial controls, and self-service decision support
• Ensure AI solutions integrate effectively with Finance platforms, data environments, and systems of record, including ERP, EPM, planning, reporting, procurement, and workflow platforms
• Partner with Finance, Internal Audit, Risk, Legal, Security, and Compliance to ensure solutions meet financial-control, regulatory, privacy, security, and auditability requirements

Build and Scale the Enterprise Transformation Portfolio

• Own the portfolio of AI and technology transformation engagements across Finance, LCRA, Marketing, People, Government Affairs, and other corporate functions
• Establish Finance as the initial transformation domain, then apply successful delivery patterns, platform capabilities, and governance models to additional functions
• Translate functional strategies and operating challenges into a prioritized portfolio of technology products and transformation programs
• Determine which functions and use cases receive dedicated delivery teams based on value, feasibility, data readiness, risk, and strategic importance
• Maintain an enterprise backlog and make transparent investment, sequencing, scaling, and stop decisions
• Ensure every initiative has a clear business owner, technology owner, value case, adoption plan, and measurable outcome

Own Technology Strategy and Architecture

• Define the target technology architecture for enterprise AI transformation in partnership with enterprise architecture, data, cloud, integration, security, and infrastructure leaders
• Establish reusable technology patterns for generative AI, machine learning, intelligent automation, workflow orchestration, APIs, enterprise search, retrieval-augmented generation, and AI agents
• Ensure solutions are built on secure, scalable, supportable enterprise platforms rather than disconnected proofs of concept
• Make build, buy, partner, and reuse decisions based on strategic differentiation, total cost of ownership, speed, risk, and long-term…