The organization received more than $574 million in sponsored research funding in a recent fiscal year, and teams here span faculty researchers, academic administrators, student affairs professionals, and technology and operations staff including software engineers, data engineers, analytics engineers, AI engineers, and business intelligence professionals dedicated to education and discovery at the highest level. Working at the intersection of analytics engineering, data engineering, and artificial intelligence, this role applies software engineering principles to transform raw data into trusted, well-documented, and reusable data products, and to provide the governed business context that enables accurate AI analytics, agents, and machine learning workflows.