Director AI/ML Engineering

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.

Define and drive the AI/ML strategy and roadmap aligned to business and healthcare priorities Oversee end-to-end AI/ML solution delivery, ensuring scalability, reliability, and impact Lead adoption of advanced AI capabilities including NLP, deep learning, predictive analytics, and GenAI Ensure delivery excellence across programs with focus on quality, timelines, and outcomes Build, lead, and mentor high-performing AI/ML teams Establish clear roles, responsibilities, and performance expectations Foster a culture of innovation, continuous learning, and engineering excellence Drive talent strategy, including hiring, onboarding, and retention Act as a trusted advisor to stakeholders and clients Collaborate with cross-functional leaders to align priorities and execution Manage client relationships and value realization Present strategic insights and program updates to executive audiences Lead AI initiatives using healthcare data (EHR, claims, clinical text) to drive transformation Ensure adherence to healthcare regulations, data privacy, and compliance standards (HIPAA) Establish engineering best practices, MLOps, governance, and KPI tracking to ensure performance and compliance 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 regards 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 or Master's degree in Computer Science, AI/ML, Data Science, Engineering, or related field (Master's preferred) 10+ years of overall experience, with significant experience in AI/ML engineering and solution delivery Healthcare Domain Experience Demonstrated experience working with healthcare data and systems (EHR, claims, clinical data) Solid understanding of: Knowledge of healthcare compliance and data privacy frameworks (HIPAA) Healthcare workflows and industry use cases Interoperability standards (HL7, FHIR - good to have) Proven track record of leading teams and delivering large-scale AI/ML programs 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.