Build and run an enterprise data governance program: create policies, standards, and controls; establish data use and de-identification programs (HIPAA-compliant); define ownership and stewardship; measure and remediate data quality; maintain governance artifacts; align cross-functionally; report and drive adoption and training.

Lead selection and operationalization of AI risk management frameworks (e.g., NIST AI RMF, ISO/IEC 42001). Translate standards into controls, templates, and documentation; perform gap analyses and remediation; produce AI transparency artifacts (model/data/system cards); map controls across frameworks; support governance committees, audit readiness, training, and ongoing monitoring of evolving AI standards and regulations.