Deep experience with assurance in a number of the following: Data governance, data privacy, and data protection controls; AI/ML risk management, including AI model development, validation, deployment, and monitoring; Algorithmic bias, fairness, explainability, and ethical considerations in AI systems; Data quality, lineage, and integrity across complex technology environments; Regulatory compliance related to data and AI (e.g., GDPR, CCPA, EU AI Act)