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Senior Manager, AI/ML Engineering (Digital Experience)- Remote

Reads like a Data Leadership role: running a data team.

Pay
$148,900–255,300/year — pay source
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $148,900 - $255,300 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Lead and manage engineering teams building scalable AI/ML pipelines, models and platforms

  • Design and deploy AI-powered solutions with responsible use of AI

  • Set MLOps practices for deployment, monitoring, CI and performance tuning

  • Define technical roadmaps with product, technical and business leaders

  • Mentor and coach team members while driving engineering excellence

From the employer’s posting
Lead and manage engineering teams in designing, implementing, and maintaining scalable AI/ML pipelines, models, and platforms
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
Establish MLOps best practices for model deployment, monitoring, continuous integration, and performance tuning at enterprise scale
Partner with cross-functional technical leaders, product managers, and business stakeholders to define technical roadmaps and deliver business value
Mentor, coach, and support professional growth for team members while advocating for architectural quality and engineering excellence

What you’ll bring

All qualifications

Core experience

  • 8+ years of experience in software engineering, data engineering, or machine learning engineering
  • 5+ years of hands-on experience developing, scaling, and deploying machine learning models or AI solutions in production environments
  • 3+ years of technical leadership or direct people management experience driving engineering deliverables
  • 3+ years of experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-native AI/ML frameworks/architectures
  • 3+ years of experience implementing MLOps frameworks, automated CI/CD pipelines, and model monitoring tools

Preferred experience

  • Master's or Ph.D. degree in Computer Science, Data Science, Machine Learning, Data Analytics, or related technical field
  • Experience in healthcare technology, HIPAA compliance, or working with complex healthcare datasets
  • Solid knowledge of responsible AI frameworks, bias mitigation, and model governance practices
  • Excellent communication and stakeholder management skills with experience articulating technical concepts to non-technical executives
Qualification wording
8+ years of experience in software engineering, data engineering, or machine learning engineering
5+ years of hands-on experience developing, scaling, and deploying machine learning models or AI solutions in production environments
3+ years of technical leadership or direct people management experience driving engineering deliverables
3+ years of experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-native AI/ML frameworks/architectures
3+ years of experience implementing MLOps frameworks, automated CI/CD pipelines, and model monitoring tools
Master's or Ph.D. degree in Computer Science, Data Science, Machine Learning, Data Analytics, or related technical field
Experience in healthcare technology, HIPAA compliance, or working with complex healthcare datasets
Solid knowledge of responsible AI frameworks, bias mitigation, and model governance practices
Excellent communication and stakeholder management skills with experience articulating technical concepts to non-technical executives
Education & alternatives
Preferred Qualifications: - Master's or Ph.D. degree in Computer Science, Data Science, Machine Learning, Data Analytics, or related technical field - Proven track record of operationalizing Generative AI, Large Language Models (LLMs), or advanced deep learning architectures
Apply at UnitedHealth Group

Posting record

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Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 28, 20266 days ago
Recorded sightings
10
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$149K–$255K against $154K–$225K, the middle half of what similar US postings state.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 6

Early. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

UnitedHealth Group is hiring

159 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring is steady
  • Takes jobs down quickly
  • 11% of open jobs were reposted
Hiring record

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Where the posting names them
- 3+ years of technical leadership or direct people management experience driving engineering deliverables - 3+ years of experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-native AI/ML frameworks/architectures - 3+ years of experience implementing MLOps frameworks, automated CI/CD pipelines, and model monitoring tools

Your next step

Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

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 AI/ML Engineering within Optum Technology, you will lead high-performing engineering teams in building, scaling, and operationalizing cutting-edge artificial intelligence and machine learning solutions across the enterprise. In this role, you will drive strategic technical initiatives, leverage modern MLOps practices, and foster responsible AI innovation to address complex healthcare challenges.

 

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: 

  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
  • Evaluate emerging trends to inform solution design and strategic innovation
  • Lead and manage engineering teams in designing, implementing, and maintaining scalable AI/ML pipelines, models, and platforms
  • Establish MLOps best practices for model deployment, monitoring, continuous integration, and performance tuning at enterprise scale
  • Partner with cross-functional technical leaders, product managers, and business stakeholders to define technical roadmaps and deliver business value
  • Mentor, coach, and support professional growth for team members while advocating for architectural quality and engineering excellence

 

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: 

  • 8+ years of experience in software engineering, data engineering, or machine learning engineering
  • 5+ years of hands-on experience developing, scaling, and deploying machine learning models or AI solutions in production environments
  • 3+ years of technical leadership or direct people management experience driving engineering deliverables
  • 3+ years of experience with cloud platforms (e.g., AWS, Azure, GCP) and cloud-native AI/ML frameworks/architectures
  • 3+ years of experience implementing MLOps frameworks, automated CI/CD pipelines, and model monitoring tools

 

Preferred Qualifications:  

  • Master's or Ph.D. degree in Computer Science, Data Science, Machine Learning, Data Analytics, or related technical field
  • Proven track record of operationalizing Generative AI, Large Language Models (LLMs), or advanced deep learning architectures
  • Experience in healthcare technology, HIPAA compliance, or working with complex healthcare datasets
  • Solid knowledge of responsible AI frameworks, bias mitigation, and model governance practices
  • Excellent communication and stakeholder management skills with experience articulating technical concepts to non-technical executives

 

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.

 

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $148,900 - $255,300 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 

 

At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.

 

 

UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

 

UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment. 

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Pay
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $148,900 - $255,300 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
Location & working pattern

Eden Prairie, Minnesota

Working pattern and location restrictions need checking in the full posting.

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