Sr. Clinical Product Lead, AI & Product Office (MD, DO, NP, PA or RN) - Boston, MA or Remote at UnitedHealth Group – Boston | Jobyssey

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. Clinical Product Lead, AI & Product Office brings clinical judgment to the office's product team, 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 designs alongside the team from the first conversation, defines what an AI-enabled product must get right clinically before it reaches patients and care teams, and brings the care teams of each local market into the work.

This individual is accountable for whether what the team ships is clinically safe, clinically useful, and measured on outcomes that matter to patients, including whether each patient got the right care.
This is a job for a clinician who builds. 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 in your own work, and you will help care teams use and build with them safely.

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.

Primary Responsibilities:

Clinical Design

Work as a design partner on every build, from problem definition through launch, rather than as a reviewer at the end
Bring care team members from each local market team into the work: recruit them, run the clinical side of kaizen events and design sessions, and make sure their judgment shapes what gets built
Translate clinical workflows, care pathways, and care standards into requirements the team can build and test
Determine which clinical decisions belong to a single market and which belong to the enterprise, and design accordingly

Clinical Safety & Evaluation

Define, with product and engineering, what an AI feature must get right clinically, how it is measured, the bar it must clear before it reaches patients or care teams, and the bar it must clear before it takes on more autonomy
Build evaluation sets with care team members from the markets, review model and agent behavior against them, and decide when a result is good enough to ship
Take the clinical case for each product through Optum Health's AI review and governance process, and monitor clinical performance after launch
Partner with technology, data, security, legal, privacy, compliance, and other stakeholders so AI-enabled products are responsible, secure, and enterprise-ready

Clinical Adoption & Enablement

Work with the deployment manager on clinical readiness and training for each deployment, and bring what care teams see after launch back to the team
Help care teams across the markets use and build with AI tools safely, on a supported path: templates, evaluation bars, and a way to ship
Lead clinical education on AI in the markets the team works in: how to use what the team ships, and how to build with AI safely
Define the clinical and quality outcome measures for each product, such as access, time to care, and whether patients received clinically appropriate care, with baselines before launch
Write down what the team learns each week so it is reviewed on cadence and turned into decisions

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:

Licensed clinician (MD, DO, NP, PA, or RN) with direct patient care experience
5+ years working on clinical product, clinical informatics, or health technology alongside product and engineering teams
Experience in the healthcare industry and/or within a large, complex, matrixed organization
Experience using AI tools in your own work today and have built with them: an agent, automation, or large language model tool you designed, built, and ran, at work or as a personal project
Experience defining clinical requirements or safety criteria for a technology product and seen it through to launch
Ability to work at the enterprise level and at a single market's level, and to tell which one a given decision belongs to
Proven solid writing skills: 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 practicing clinicians and care team members, and leading those who do not report to you
Working proficiency in the tools this office builds with GitHub and AI coding and agent tools
Experience working as a senior individual contributor: owns hard problems end to end, working across functions to deliver them

Preferred Qualifications:

Board certification in clinical informatics, or equivalent informatics training
Active clinical practice alongside this role
Experience evaluating AI or machine learning systems for clinical use, including building evaluation sets
Experience in primary care, care coordination, or home and community care
Experience leading clinical education or training programs for large clinician groups
Experience with value-based care and quality measurement
Experience with health IT policy, standards, or governance bodies

Core Competencies

Building with AI: uses agents and automation to do the job, not only to describe it.
Clinical design partnership
Clinical safety and evaluation of AI systems
Clinical appropriateness and outcome measurement
Care team engagement and leadership without authority
Clinical education and enablement
Responsible AI and healthcare governance
Enterprise and market-level judgment

*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 $159,300 - $273,200 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.

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