Significant experience in data quality, data governance, AI governance, model risk, technology risk, audit, compliance, analytics, data engineering, or related disciplines, preferably in a large global or regulated organization. You will help build and scale an integrated Data Quality and AI assurance capability that supports intake, risk classification, pre-release review, production monitoring, exception management, and audit-ready documentation.