Working at the intersection of analytics engineering, data engineering, and artificial intelligence, you will define the metrics, business logic, and context that enable large language models (LLMs) and AI agents to reliably understand and query institutional data, and you will bring software engineering rigor to modern data tools such as dbt, Dagster, Apache Iceberg, Trino, and AWS . Teams here include faculty researchers, academic administrators, student affairs professionals, and technology and operations staff including software engineers, data engineers, analytics engineers, AI engineers, and institutional research professionals dedicated to education and discovery at the highest level.