Requisition Number: 2347621 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 Customer/Business Engagement Lead for ML/AI Solutions is responsible for building and nurturing relationships with healthcare clients and business stakeholders, driving adoption and value realization of machine learning and artificial intelligence technologies. This role acts as the primary customer-facing leader during solution delivery, interfacing closely with technical leads and engineering teams to ensure ML/AI solutions are aligned with client needs, deliver measurable outcomes, and support strategic business objectives in healthcare environments. 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: - Customer-Facing Leadership During Delivery - Serve as the main point of contact for healthcare clients throughout the ML/AI solution delivery lifecycle, ensuring clear communication and alignment of expectations - Lead client-facing meetings, workshops, and status updates, translating technical concepts into business value and actionable plans - Proactively manage client relationships, address concerns, and ensure high levels of satisfaction during project delivery - Interface with Technical Lead and Engineering - Collaborate closely with technical leads and engineering teams to communicate client requirements, priorities, and feedback - Facilitate joint sessions between clients and technical teams to resolve issues, clarify solution design, and ensure successful implementation - Bridge the gap between business needs and technical execution, advocating for the client while supporting engineering best practices - Solution Adoption & Value Realization - Develop and execute strategies to drive adoption, usage, and value realization of ML/AI healthcare products and services - Monitor customer engagement metrics, gather feedback, and identify opportunities for improvement - Collaborate with product, data science, and engineering teams to tailor solutions to client needs and maximize impact - Business Development & Relationship Management - Identify new business opportunities and expansion areas within existing healthcare accounts - Build long-term relationships with key decision-makers, influencers, and champions in client organizations - Support proposal development, presentations, and contract negotiations for ML/AI healthcare projects - Training & Enablement - Develop and deliver training programs, demos, and onboarding sessions for healthcare customers and business users - Create educational materials and resources to support customer understanding and effective use of ML/AI healthcare solutions - Reporting & Continuous Improvement - Track and report on engagement activities, customer satisfaction, and business outcomes - Analyze engagement data to identify trends, risks, and opportunities for process improvement - Stay current with industry trends, emerging ML/AI technologies, and best practices in healthcare customer engagement 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: - 5+ years of experience in customer engagement, business development, or account management, preferably in healthcare technology or AI/ML domains - 3+ years of building and managing client relationships in a technical healthcare environment - 2+ years with CRM tools, analytics platforms, and customer engagement metrics - 1+ years of machine learning, artificial intelligence, and their applications in healthcare. - Proven ability to work cross-functionally and influence stakeholders at all levels - Proven excellent communication, presentation, and interpersonal skills - Travel: Up to 50% for client meetings, workshops, and industry events Competencies - Relationship Building: Develops trust and rapport with healthcare clients and stakeholders - Strategic Thinking: Aligns engagement strategies with business and clinical objectives - Technical Acumen: Understands ML/AI concepts and can translate technical solutions into clinical and business value - Communication: Articulates complex ideas clearly to diverse audiences - Problem Solving: Identifies and resolves customer challenges proactively - Continuous Improvement: Seeks feedback and drives enhancements to engagement processes *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 $134,600 to $230,800 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 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. UnitedHealth Group is 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 is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

• Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. • Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole. • Classification: Assigning predefined categories or labels to items. • Content Quality: Evaluating the perceived quality and/or appropriateness of content. • Content Understanding: Generating labels to advance understanding of a concept, trend etc. • Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data. • Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. • Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. • Preference Ranking: Ordering or ranking items based on a set of preferences or criteria. • Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system. • Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale. • Response Generation: Generating responses to prompts or questions using a language model or other AI system. • Response Rewrite: Rewriting existing text while preserving the original meaning. • Response Summarization: Producing concise summaries of longer pieces of text or data. • Similarity Evaluation: Projects where content is compared in order to drive a determination. • Transcription: Converting spoken language or audio content into written text. • Translation: Converting text or spoken language from one language to another. • Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models.

• Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. • Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole. • Classification: Assigning predefined categories or labels to items. • Content Quality: Evaluating the perceived quality and/or appropriateness of content • Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data

• Audit existing business processes and identify automation opportunities • Build and deploy AI agents and automated workflows using tools like n8n and other automation platforms • Integrate AI capabilities (LLMs, document parsing, data routing, etc.) into client systems • Maintain and iterate on automations based on performance and client feedback • Communicate clearly with clients and internal teams on project status and recommendations