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.
AI / ML Engineers code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and / or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. Impact of work is most often at the regional (e.g. multi-state) level, or is responsible for a major portion of a business segment, functional area or line of business.
Primary Responsibilities :
- AI-First LeaderIntegrate enterprise-approved AI tools into team workflowsBuild AI goals into check-ins and development plans, and align hiring practices with our AI-persona frameworkIdentify and remove organizational and operational barriers to accelerate AI implementation
- Provides leadership to and is accountable for the performance and results through multiple layers of management and senior level professional staff
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and / or re-assignment to different work locations, change in teams and / or work shifts, policies in regard to flexibility of work benefits and / or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications :
Bachelor's degree in Computer Science, Engineering, Healthcare Informatics, or a related field; Master's or MBA preferred15+ years of progressive leadership experience in enterprise technology, analytics, or automation, with 5+ years in the healthcare industryProven experience managing large-scale AI / ML product life cycle, leading MLOps, RPA Ops, and Cloud MigrationExperience in digital transformation initiatives in payer, provider, or healthcare services organizationsHealthcare Domain ExpertiseDeep understanding of healthcare data ecosystems, including EHRs, claims, clinical data, and interoperability standards (e.g., HL7, FHIR)Familiarity with healthcare regulations and compliance frameworks (e.g., HIPAA, HITECH)Experience working with population health, care management, revenue cycle, or value-based care analyticsTechnical & Strategic ExpertiseSolid grasp of AI / ML technologies, intelligent automation (RPA, IPA), and cloud platforms (e.g., AWS, Azure, GCP)Demonstrated ability to translate healthcare business needs into scalable, high-impact technology solutionsLeadership & InfluenceExceptional executive presence with the ability to influence and communicate effectively with C-level stakeholdersExperience in building and leading high-performing, diverse teams across geographiesSolid change management skills with a track record of driving cultural and operational transformationFinancial & Operational AcumenExperience managing a P&L and delivering against financial objectives, including revenue growth and investment optimizationSkilled in portfolio management, performance tracking, and ROI analysis using data-driven decision-makingInnovation & Industry AwarenessPassion for innovation with a solid pulse on emerging healthcare technologies and industry trendsExperience in fostering a culture of continuous improvement, experimentation, and agile deliveryAI-First LeaderExperience with experiment tracking tools (e.g., Weights & Biases, MLflow)Hands-on experience with MLOps, model deployment, and monitoringProven expertise in LLMs, generative AI, and deep learningSolid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)Familiarity with AIML governance, ethics, and responsible AI practicesOther Key CompetenciesSolid problem-solving, critical thinking, and strategic planning capabilitiesExcellent communication, negotiation, and stakeholder engagement skillsAbility to thrive in a fast-paced, ambiguous environment with competing prioritiesAt 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.