The successful candidate will set the direction for how the portfolio develops, evaluates, and operates its clinical AI, spanning model development, evaluation rigor, governance and responsible AI, cost efficiency, latency, reliability, and scalability, in close partnership with product and engineering. 10+ years of experience in analytics, data science, or applied AI, with hands-on depth in developing and deploying machine learning and deep learning solutions, including modern approaches to natural language processing, large language models, and generative AI.