• Lead and manage a team responsible for AI/ML and emerging technology risk oversight, including hiring, performance management, coaching, and development. • Establish and maintain risk governance, standards, control frameworks, and oversight processes for Generative AI and Machine Learning solutions. • Provide risk review and effective challenge across the AI/ML lifecycle, including model design, development, validation, deployment, and ongoing monitoring. • Partner with data science, engineering, and business teams to embed risk controls throughout the AI/ML lifecycle. • Oversee risk assessments, control testing, issue management, and remediation activities related to AI and advanced analytics. • Evaluate and manage third-party and vendor risks associated with AI platforms, tools, and data sources. • Translate complex technical and model risks into clear, actionable insights for senior leaders and governance forums. • Monitor emerging regulatory guidance, industry standards, and best practices related to AI and model risk management. • Prepare and present risk reporting, metrics, and recommendations to leadership and risk committees. • Exercise decision authority and independent judgment related to AI/ML risk assessments, control recommendations, issue escalation, and, within defined thresholds, risk positions, remediation plans, and risk acceptances. • Provide direct supervision of Senior Analysts and Analysts within Technology Risk.