• Lead the enterprise AI Security program, defining policies, standards, and best practices. • Adopt and operationalize tools that provide visibility and control over AI access and behaviors. • Defend against prompt injection, jailbreaking, and indirect prompt injection. • Advise on methods to filter and guardrail models to prevent the generation of toxic or restricted content. • Implement methods to reduce the risk of data loss through AI. • Introduce AI security control points into the CI/CD pipeline, including securing internal codebases and the use of third-party dependencies. • Assist in the formation of the AI Center of Excellence. • Assess, build, configure and deploy solutions to detect and react to anomalous model behavior. • Provide insight into how best to position security operations to detect and respond to AI-specific breaches. • Contribute to general security architecture and engineering duties undertaken by DTM team. • Oversee data quality, metadata management, and issue remediation functions to improve data integrity and trust. • Lead enterprise-wide risk assessments relating to data management, protection, and quality. • Provide strategic leadership on data-driven transformation initiatives, ensuring governance is built into system modernization, cloud adoption, and digital initiatives.