Senior Executive Director of Data & AI

What you'll do

• Define and execute the enterprise Data and AI Governance strategy, including policies, standards, and operating models.
• Lead governance for AI and generative AI initiatives throughout their full lifecycle to ensure regulatory compliance and responsible AI principles.
• Design and maintain a control environment to identify and mitigate operational, regulatory, privacy, and cyber risks.
• Partner with technology teams to embed controls into data pipelines and AI development lifecycles.
• Monitor global regulatory requirements and serve as the senior escalation point for governance and compliance matters.
• Establish enterprise standards for data quality, lineage, metadata, classification, and access management.
• Define governance practices for data access and entitlement management based on least-privilege principles.
• Lead and develop a high-performing team of governance, risk, and AI policy professionals.

What we're looking for

• Formal training or certification on technology risk and controls concepts and 10+ years of applied experience.
• 5+ years of senior leadership experience managing large-scale enterprise programs and cross-functional teams.
• Demonstrated expertise in data governance, AI and machine learning risk management, technology risk, operational risk, and internal controls.
• Proven experience designing and implementing governance frameworks for enterprise-scale data and AI ecosystems.
• Deep knowledge of data privacy, regulatory compliance, and audit and examination management within complex technology environments.
• Experience developing controls supporting AI explainability, transparency, fairness, bias monitoring, human oversight, and model performance management.
• Strong executive communication and stakeholder management skills to influence senior leaders across technology, risk, compliance, and business functions.
• Advanced degree in Technology, Data Science, Business, Law, or Risk Management (preferred).
• Industry certifications such as CDMP, CRISC, CISM, or CISSP (preferred).
• Experience with cloud and AI platforms such as AWS, Azure, or Databricks (preferred).
• Prior experience in a highly regulated financial services organization with direct exposure to regulatory examinations (preferred).
• Familiarity with enterprise AI governance frameworks and emerging global AI regulatory standards (preferred).