Design, deploy, and maintain AI/ML models and intelligent applications in production
Lead development of Generative AI, NLP, computer vision, and speech recognition solutions
Translate complex business problems into scalable AI-driven solutions
Run research, experimentation, and model evaluation and performance optimization
Communicate AI findings and strategy to executive leadership and non-technical stakeholders
From the employer’s posting
Design, develop, deploy, and maintain AI/ML solutions, machine learning models, and intelligent applications in production environments
Lead the development and implementation of Generative AI, NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and speech recognition solutions
Translate complex business problems into scalable AI-driven solutions that improve operational efficiency and business outcomes
Conduct research, experimentation, model evaluation, and performance optimization using advanced statistical and machine learning techniques
Communicate complex analytical findings, technical concepts, and AI strategies to executive leadership and non-technical stakeholders
Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Artificial Intelligence, or a related field
5+ years of experience developing and deploying machine learning, artificial intelligence, and advanced analytics solutions in enterprise environments
Experience with machine learning, deep learning, large language models (LLMs), Generative AI, NLP, NLU, computer vision, and speech recognition technologies
Experience with large-scale data platforms, distributed computing frameworks, and cloud-based AI/ML solutions
Experience translating research findings into practical, production-ready AI solutions
Familiarity with MLOps practices, model deployment, monitoring, governance, and lifecycle management
Preferred experience
Experience working in healthcare, regulated industries, or large enterprise environments preferred
Qualification wording
Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Artificial Intelligence, or a related field
5+ years of experience developing and deploying machine learning, artificial intelligence, and advanced analytics solutions in enterprise environments
Experience with machine learning, deep learning, large language models (LLMs), Generative AI, NLP, NLU, computer vision, and speech recognition technologies
Experience with large-scale data platforms, distributed computing frameworks, and cloud-based AI/ML solutions
Experience translating research findings into practical, production-ready AI solutions
Familiarity with MLOps practices, model deployment, monitoring, governance, and lifecycle management
Experience working in healthcare, regulated industries, or large enterprise environments preferred
Education & alternatives
- Undergraduate degree or equivalent experience
- Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Artificial Intelligence, or a related field
- 5+ years of experience developing and deploying machine learning, artificial intelligence, and advanced analytics solutions in enterprise environments
Preferred Qualifications:
- Master's or PhD
- Experience working in healthcare, regulated industries, or large enterprise environments preferred
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Where the posting names them
- Solid knowledge of statistics, optimization techniques, probability theory, experimental design, and model evaluation methodologies
- Proven solid programming skills in Python, SQL, and other modern development languages
- Demonstrated ability to communicate complex technical concepts and analytical insights to diverse audiences, including senior leadership
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
About 390,000 in 2025, down 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as UNH.
H-1B visas
11 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
Primary Responsibilities:
Design, develop, deploy, and maintain AI/ML solutions, machine learning models, and intelligent applications in production environments
Lead the development and implementation of Generative AI, NLP, NLU, semantic understanding, intent classification, computer vision, deep learning, and speech recognition solutions
Translate complex business problems into scalable AI-driven solutions that improve operational efficiency and business outcomes
Collaborate with business leaders, product owners, engineers, and data scientists to identify, prioritize, and deliver AI/ML opportunities
Conduct research, experimentation, model evaluation, and performance optimization using advanced statistical and machine learning techniques
Build and support large-scale data processing, analytics, and distributed computing frameworks
Apply deep learning technologies to enable intelligent automation, predictive analytics, and decision support capabilities
Develop reusable tools, frameworks, and best practices for AI/ML model development, deployment, monitoring, and governance
Communicate complex analytical findings, technical concepts, and AI strategies to executive leadership and non-technical stakeholders
Stay current with emerging AI technologies and translate research advancements into practical business applications
Mentor team members and promote innovation, engineering excellence, and responsible AI practices
Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements.
Required Qualifications:
Undergraduate degree or equivalent experience
Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Artificial Intelligence, or a related field
5+ years of experience developing and deploying machine learning, artificial intelligence, and advanced analytics solutions in enterprise environments
Experience with machine learning, deep learning, large language models (LLMs), Generative AI, NLP, NLU, computer vision, and speech recognition technologies
Experience with large-scale data platforms, distributed computing frameworks, and cloud-based AI/ML solutions
Experience translating research findings into practical, production-ready AI solutions
Familiarity with MLOps practices, model deployment, monitoring, governance, and lifecycle management
Solid knowledge of statistics, optimization techniques, probability theory, experimental design, and model evaluation methodologies
Proven solid programming skills in Python, SQL, and other modern development languages
Demonstrated ability to communicate complex technical concepts and analytical insights to diverse audiences, including senior leadership
Demonstrated ability to lead cross-functional initiatives, influence stakeholders, and drive innovation through data and AI
Preferred Qualifications:
Master's or PhD
Experience working in healthcare, regulated industries, or large enterprise environments preferred
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.