Senior Manager, Software Engineering

UnitedHealth Group•Minnetonka, MN

20h•$112,700 - $193,200•Onsite

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