Lead the strategy, architecture, and delivery of an enterprise context layer and AI-ready data platforms, including semantic models, ontologies, knowledge graphs, metadata capabilities, and reusable contextual data products. Direct multidisciplinary engineering teams and partner with business, data, product, architecture, and governance leaders to establish standards and enable trusted, secure information access for generative AI and agentic workflows. Requires a bachelor’s degree in a relevant field, 10+ years of experience in AI/ML, data, knowledge engineering, or semantic technologies, and substantial experience leading technical teams and enterprise-scale platform initiatives. Candidates must also have experience with semantic models or knowledge graphs, integrating structured and unstructured data, data governance and quality, and generative AI technologies such as LLMs, RAG, vector search, and agentic workflows.
UnitedHealth Group provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
