Senior Manager, Software Engineering

UnitedHealth GroupMinnetonka, MN
$112,700 - $193,200Onsite

About The Position

The Sr. Manager, Software Engineering will lead engineering delivery for a next-generation AI-driven platform focused on advanced analytics, decision intelligence, and optimization. This role blends hands-on technical leadership, program execution, and cross-ecosystem collaboration (business stakeholders, external partners, and global teams) to deliver scalable, production-grade AI solutions.

Requirements

  • 10+ years of experience in software engineering with 5+ years in leadership roles
  • 3+ years of experience delivering AI/ML or data-driven platforms in production environments
  • 2+ years of experience in Cloud platforms (AWS/Azure)
  • 2+ years of experience in Microservices, APIs, distributed systems
  • 2+ years of experience in DevOps tooling (CI/CD, GitHub, Jenkins, Docker/Kubernetes)
  • 2+ years of experience with using enterprise-approved AI tools (e.g., GitHub Copilot, M365 Copilot) to enhance productivity
  • 2+ years of AI experience across software engineering workflows including development, testing, and documentation
  • Demonstrated experience leading global engineering teams (onshore + offshore)
  • Experience managing complex, multi-team programs with external partners/vendors
  • United States Citizenship
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment

Nice To Haves

  • 3+ years of experience in optimization, simulation, or decision intelligence platforms
  • 2+ years of experience with advanced analytics or emerging AI technologies (e.g., agentic AI, optimization engines)
  • 2+ years of experience working with external innovation or technology partners
  • 2+ years of experience with building platforms for Scenario modeling
  • 2+ years of experience with building platforms for Data-driven decision support
  • 2+ years of experience with building platforms for Competitive or market intelligence systems

Responsibilities

  • Drive end-to-end delivery of AI-native applications (ML, optimization, agentic workflows) aligned to business priorities
  • Embed AI-assisted development (Copilot, LLM agents) to improve speed, quality, and engineering productivity
  • Lead complex, multi-stream programs across onshore and offshore teams, ensuring predictable delivery
  • Own backlog, dependencies, and execution across engineering and partner teams
  • Translate business needs into scalable engineering solutions with measurable outcomes
  • Partner with product, architecture, and business leaders to deliver value
  • Work closely with external partners and vendors to integrate advanced capabilities into enterprise platforms
  • Drive accountability and outcomes across internal and third-party teams
  • Enforce modern engineering practices (microservices, CI/CD, cloud-native architecture)
  • Embed security, compliance, and Responsible AI practices across delivery

Benefits

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