Sr Director, Software Engineering - Remote

About the position

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. UHC Technology is focused on driving change, modernization, and ensuring reliable and stable systems so that we can help to transform health care - making it easier, more affordable, and more effective for those we serve. We are passionate about technology and the role it plays to create distinctive experiences to our constituents. While we are always focused on how technology can help us deliver faster and with improved quality, we are far more enthusiastic about the ways technology can reinvent how we deliver on our mission in partnership with the UHC lines of business and Optum Technology. 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.

Responsibilities

  • Define and execute the AI strategy for Medicaid Care Management, embedding generative AI, machine learning, automation, predictive modeling, and decision support capabilities into core clinical and operational workflows
  • Lead a global engineering organization of -70-100 people, responsible for building and scaling AI enabled, enterprise grade care management platforms and solutions that meet regulatory, privacy, and compliance requirements
  • Partner with Product, Clinical, Data Science, Compliance, and Architecture leaders to translate care management outcomes into production ready AI and software roadmaps
  • Drive adoption of AI capabilities across care planning, utilization management, risk stratification, and member engagement while ensuring explainability, fairness, and clinical trust
  • Driving technology strategy and execution to drive clinical affordability goals
  • Establish engineering standards and governance for responsible AI, including model lifecycle management, validation, monitoring, and integration with traditional software systems
  • Ensure secure, compliant software development practices across AI and non AI systems, including PHI protection, identity and access controls, vendor MFA, and third party risk management
  • Own end to end delivery accountability, using solid execution metrics, implementation tracking, and evidence based decision making to improve predictability and outcomes
  • Build and mentor senior engineering and technical leaders capable of operating at the intersection of AI, healthcare domain knowledge, and large scale software delivery
  • Lead technology investment planning and vendor strategy for AI platforms, data infrastructure, and tooling in partnership with finance and enterprise stakeholders
  • Serve as a senior technical and AI thought partner to executive leadership, clearly articulating tradeoffs, risks, regulatory implications, and business value of AI driven care management solutions

Requirements

  • 10+ years of Software Engineering experience in Medicaid Care Management, healthcare workflows, and regulatory requirements, including privacy, security, and responsible AI considerations
  • 7+ years of experience in Medicaid Clinical/Care Management Technology domain
  • 7+ years of progressive software engineering leadership experience, including leading large, global technology organizations delivering enterprise scale platforms in regulated environments
  • 2+ years of demonstrated experience defining and operationalizing AI products, such as UHC Care Assist Suite of Products, and AI driven predictive clinical models —partnering with clinical, product, AIRB, and legal teams to bring AI driven capabilities into this suite of products with measurable business impact

Nice-to-haves

  • Undergraduate degree in Engineering, Computer Science, and Information Systems
  • Proven ability to operate at the executive level, translating complex technical and AI concepts into clear decisions, tradeoffs, and outcomes for senior business and clinical stakeholders

Benefits

  • a comprehensive benefits package
  • incentive and recognition programs
  • equity stock purchase
  • 401k contribution
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