Job description

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. The Sr. Deployment Manager, AI & Product Office gets the office's AI-enabled products into use and keeps them improving, helping the Chief AI & Product Officer (CAIPO) drive Optum Health's enterprise AI-enabled product strategy, Agenix solutions portfolio, and product capability agenda. This role runs deployment into local teams, trains the people who use each product, and runs the cycle that turns what users see after launch into fixes that are measured. This individual is accountable for adoption and measurable enterprise value: whether each product is used, whether it keeps getting better, and whether the next market can go live faster than the last. An AI product is not finished at launch: agents drift, workflows change, and the people using it see the problems first. This is a job for a builder. The team is just starting, and you will help build it and shape how it innovates, at the highest level. The office is small today, and that is by design: its leverage is the enterprise AI investment it drives across Optum Health. You will use AI tools to generate training, capture feedback at scale, and track adoption without a person chasing it. The AI & Product Office is building a small, cross-functional product team: product management, engineering, product design, service design, deployment, and clinical, working alongside care team members from each local market team. The team embeds with a local Optum Health market team to find problems with the people who do the work, then design, build, deploy, and measure the products that fix them. What the team learns in the first market is written down as the method for the next one. 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: Deploy • Plan and run each deployment into local teams: readiness, sequencing across sites, go-live support, and the decisions and Sring a go-live needs from market leaders • Work with the team's engineers on releases, so what reaches users is ready for them and they know what changed • Put the service design into practice with the service designer, so what was designed is what goes live • Develop and execute change management and communications plans for each deployment, so the people affected understand the purpose, impact, readiness requirements, and expected value • Partner with finance, technology, data, security, legal, privacy, compliance, care teams, and other stakeholders so each deployment is responsible, secure, and enterprise-ready Iterate • Run the improvement cycle after launch: capture what users see, triage it, get it to the right person on the team, and measure whether the fix worked • Track adoption and the outcome measures for each product, and raise it early when a product is not being used or an agent's performance is drifting • Keep the loop closed with the people using the product: they hear what changed because of what they reported • Write down what the team learns each week so it is reviewed on cadence and turned into decisions Train • Design and run training for care teams, Sr, and managers on each product, built for how they work and generated with AI tools where that is faster • Build a network of local champions in each market who can train others and bring feedback back • Raise the AI fluency of the market teams you work with, helping local teams use and build with AI tools safely, on a supported path: templates, evaluation bars, and a way to ship • Write the deployment and training playbook from the first market so the next market can go live from what is written down • Determine which parts of a deployment belong to a single market and which belong to the enterprise, and write the playbook accordingly 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: • 7+ years of experience deploying technology, or launching new sites, services, or markets, in healthcare delivery settings • Experience in the healthcare industry and/or within a large, complex, matrixed organization • Has led the deployment of a new technology or the launch of a new site or market, and can say what adoption and outcomes looked like after launch • Has designed and delivered training for frontline clinical or operational staff • Uses AI tools in your own work today and has built with them: an agent, automation, or large language model tool you designed, built, and ran, at work or as a personal project. We will ask you about it in the interview • Able to work at the enterprise level and at a single market's level, and to tell which one a given decision belongs to • Demonstrated business acumen: tracks adoption and outcome measures and analyzes them with spreadsheets, SQL, or similar tools • Strong writing: decisions, findings, and disagreements in this office are written down, so the writing is the work • Proven ability to build relationships at all levels of the organization, earning trust with frontline staff, care team members, and market leaders • Working proficiency in the tools this office builds with: GitHub and AI coding and agent tools • Works as a senior individual contributor: owns hard problems end to end, working across functions to deliver them Preferred Qualifications: • Electronic health record implementation or training credentials, such as Epic • Change management training or certification • Experience deploying across multiple sites or markets and adapting to local differences • Experience supporting an AI or machine learning product after launch • Clinical or practice background, such as nursing, medical assistant, or practice management Core Competencies: • Building with AI: uses agents and automation to do the job, not only to describe it • Deployment planning and go-live execution • Change management and stakeholder readiness • Post-launch iteration and feedback loops • Training design and delivery for frontline teams • Adoption and outcome measurement • Enterprise and market-level judgment • Relationship building across care teams and operations *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 $112,700 to $193,200 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.

Requirements

Must-haves

Plan and run each deployment into local teams: readiness, sequencing across sites, go-live support, and the decisions and Sring a go-live needs from market leaders
Work with the team's engineers on releases, so what reaches users is ready for them and they know what changed
Put the service design into practice with the service designer, so what was designed is what goes live
Develop and execute change management and communications plans for each deployment, so the people affected understand the purpose, impact, readiness requirements, and expected value
Partner with finance, technology, data, security, legal, privacy, compliance, care teams, and other stakeholders so each deployment is responsible, secure, and enterprise-ready
Run the improvement cycle after launch: capture what users see, triage it, get it to the right person on the team, and measure whether the fix worked
Track adoption and the outcome measures for each product, and raise it early when a product is not being used or an agent's performance is drifting
Keep the loop closed with the people using the product: they hear what changed because of what they reported
Write down what the team learns each week so it is reviewed on cadence and turned into decisions
Design and run training for care teams, Sr, and managers on each product, built for how they work and generated with AI tools where that is faster
Build a network of local champions in each market who can train others and bring feedback back
Raise the AI fluency of the market teams you work with, helping local teams use and build with AI tools safely, on a supported path: templates, evaluation bars, and a way to ship
Write the deployment and training playbook from the first market so the next market can go live from what is written down
Determine which parts of a deployment belong to a single market and which belong to the enterprise, and write the playbook accordingly
7+ years of experience deploying technology, or launching new sites, services, or markets, in healthcare delivery settings
Experience in the healthcare industry and/or within a large, complex, matrixed organization
Has led the deployment of a new technology or the launch of a new site or market, and can say what adoption and outcomes looked like after launch
Has designed and delivered training for frontline clinical or operational staff
Uses AI tools in your own work today and has built with them: an agent, automation, or large language model tool you designed, built, and ran, at work or as a personal project. We will ask you about it in the interview

Nice-to-haves

Electronic health record implementation or training credentials, such as Epic
Change management training or certification
Experience deploying across multiple sites or markets and adapting to local differences
Experience supporting an AI or machine learning product after launch
Clinical or practice background, such as nursing, medical assistant, or practice management

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigosqlmachine learning

Platform: radancy
Effort: medium

Benefits

Benefits detected in the listing.

401k