Sr. Deployment Manager, AI & Product Office - Boston, MA or Remote

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.

• 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

You’ll be rewarded and recognized for your performance in an…