Director, Technology Delivery and AI Engineering - Remote

UnitedHealth Group•Eden Prairie, MN

2d•$134,600 - $230,800•Hybrid

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum, technology is transforming the way healthcare organizations operate and deliver value. As Director of Technology Delivery & AI Engineering, you will lead a portfolio of strategic data engineering, AI-powered platforms, and client delivery initiatives that directly impact business growth, operational efficiency, and client satisfaction. This role provides executive leadership across Data Engineering Capital and O&M portfolios. You will drive predictable, high-quality delivery while accelerating the adoption of AI-powered engineering practices, automation, and AI-DLC methodologies. Working closely with business partners, product leaders, architects, and engineering teams, you will shape roadmaps, manage execution risks, and ensure critical business commitments are delivered on time and at scale. The successful candidate will combine strong delivery leadership, technical expertise, and AI transformation capabilities to modernize platforms, improve delivery velocity, and maximize business value realization. If you are located in MN or DC, you will have the flexibility to work remotely as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week.

Requirements

Bachelor's degree or 4+ years of equivalent software engineering, data engineering, or technology leadership experience
10+ years of progressive technology leadership experience with increasing responsibility across engineering, delivery, or product organizations
7+ years leading large-scale programs, portfolios, or technology organizations with responsibility for delivery outcomes
Experience managing manager-of-managers organizations and globally distributed teams
Experience implementing Agile delivery practices and enterprise-scale governance frameworks
Experience leading multi-million-dollar portfolios with accountability for financial planning, forecasting, and value realization
Deep expertise in data engineering technologies including Azure Data Factory (ADF), Databricks, Delta Lake, Snowflake, ETL frameworks, APIs, and modern data architectures
Proven success delivering complex enterprise programs involving cloud modernization, data platforms, integration ecosystems, or AI-enabled solutions
Demonstrated success managing risks, dependencies, budgets, and executive stakeholder communications
Demonstrated solid executive presence with the ability to influence and align senior leaders across business and technology functions

Nice To Haves

Healthcare, payer, provider, or healthcare technology experience
Experience leading AI engineering, AI automation, agentic workflows, or enterprise AI transformation programs at scale
Experience implementing AI-Driven Development Lifecycle (AI-DLC) methodologies and AI-assisted software delivery practices
Experience supporting client onboarding, implementations, and customer-facing technology organizations
Experience operating in highly regulated environments with governance, compliance, and security requirements
Familiarity with enterprise-approved AI tools, copilots, agent frameworks, and AI governance processes
Solid understanding of DevOps, CI/CD, platform engineering, observability, and Site Reliability Engineering (SRE) practices
Demonstrated success driving large-scale organizational change and technology adoption initiatives

Responsibilities

Own end-to-end delivery outcomes for a portfolio of data engineering, AI automation, and client implementation programs, ensuring alignment to business objectives, revenue realization targets, and enterprise priorities
Lead strategic execution across Contract & Policy Intelligence, Client Engineering, and implementation initiatives while driving accountability for scope, schedule, quality, and operational excellence
Partner with senior business and technology leaders to develop roadmaps, investment strategies, and execution plans supporting enterprise growth and modernization goals
Drive large-scale cloud, data platform, and AI-enabled transformation initiatives leveraging Azure Data Factory, Databricks, Delta Lake, Snowflake, APIs, and modern engineering practices
Establish delivery governance frameworks including executive reporting, RAG management, dependency tracking, milestone execution, and risk mitigation
Utilize AI-powered delivery practices, agentic tooling, and AI-DLC methodologies to improve resource planning, risk management, delivery predictability, and engineering productivity
Champion responsible AI adoption by embedding governance, transparency, accountability, and compliance throughout the software and AI development lifecycle
Lead financial planning, budget management, forecasting, and ROI tracking for multi-million-dollar portfolios
Build and lead high-performing teams through a manager-of-managers model, fostering a culture of innovation, accountability, continuous learning, and AI-first delivery
Collaborate with onshore and offshore teams while maintaining strong engagement with business stakeholders during U.S. business hours
Influence engineering standards, platform modernization strategies, DevOps maturity, CI/CD adoption, and enterprise architecture decisions
Ensure operational excellence through production stability, observability, service reliability, and continuous improvement initiatives
Evaluate emerging technologies, AI capabilities, and industry best practices to drive innovation and competitive advantage