Senior Manager, AI​/ML Software Engineering - MN On site

Position: Senior Manager, AI/ ML Software Engineering - MN On site
Job d:

Location:

Minnetonka, Minnesota, United States Salary: $112,700 - $193,200/year

Job Area:
Technology Company:
United Health Group 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 in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

As a Senior Manager of Software Engineering, you will lead the planning, execution, and delivery of strategic technology initiatives across healthcare, Payment Integrity, AI, and enterprise platform domains. Based onsite in Minnesota, you will partner directly with Product Owners, Business Leaders, Architecture, Operations, and Engineering teams to define roadmaps, establish execution governance, and drive end-to-end software delivery. You will manage globally distributed engineering teams, championing innovative technology capabilities including AI/ML, Generative AI, intelligent automation, and cloud architecture to deliver scalable, secure, high-quality enterprise solutions that improve operational effectiveness and business outcomes.

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:

Lead the planning, execution, and delivery of strategic software engineering and technology initiatives across healthcare, Payment Integrity, AI, and enterprise platform domains

Partner with Product Owners, Business Leaders, Architecture, Operations, and onshore and offshore Engineering teams to define product roadmaps, technical priorities, and execution plans aligned with business objectives

Manage, mentor, and coach globally distributed onshore and offshore engineering teams, fostering accountability, continuous learning, collaboration, and high-performance delivery

Drive the adoption and operationalization of AI/ML, Generative AI, intelligent automation, and data-driven solutions to improve business outcomes and operational effectiveness

Integrate enterprise AI capabilities into team workflows, establish AI growth goals in developer development plans, and align hiring strategies with evolving technology competencies

Champion the ethical use of technology by embedding transparency, fairness, security, and Responsible AI governance throughout the software development lifecycle

Promote the effective use of AI-enabled developer productivity tools (such as Microsoft Copilot, Git Hub Copilot, and ChatGPT) to improve delivery speed, engineering practices, and code quality

Establish and monitor key delivery metrics, OKRs, operational KPIs, and program health indicators to provide visibility and decision support to executive leadership

Drive continuous improvement across Dev Ops, CI/CD automation, release management, site reliability engineering, and production operations

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or 4+ years of equivalent software engineering experience
10+ years of software engineering or technology delivery experience5+ years of experience leading software engineering teams and large-scale technical initiatives

Experience managing globally distributed onshore and offshore engineering teams

Experience leading the end-to-end delivery and operationalization of AI/ML or Generative AI capabilities within enterprise applications

Experience with cloud platforms (e.g., Azure), enterprise data services, APIs, microservices, and modern programming technologies (e.g., Python, Java, or .NET)
Demonstrated experience utilizing AI-enabled productivity tools (e.g., Copilot, ChatGPT) to optimize engineering team outputs

Proven track record of partnering directly with business stakeholders, product management, and executive…