Manager I, Risk (AI Risk Governance)

Manages, directs, and supervises staff responsible for AI Risk Governance activities, and implements policies and tactical plans relative to the governance, oversight, and management of AI-related risks. Manages one or more processes related to the identification, assessment, control, and ongoing monitoring of AI use cases across the enterprise, including AI lifecycle governance, risk assessment execution, and inventory management., * Conceptualize and implement frameworks, tools, and methodologies to independently identify, assess, and oversee operational and regulatory risks related to Artificial Intelligence, ensuring effective risk management practices, compliance with regulations, and adherence to enterprise risk appetite

• Oversee and independently review and challenge functional and operational risk processes, including root cause analysis, risk assessments, and the design and implementation of internal controls
• Develop and implement Key Risk Indicators (KRI) to provide independent risk insight and monitoring of risk exposure across AI use cases
• Oversee and independently challenge the identification and remediation of control deficiencies, conduct quality control reviews, assess the effectiveness of controls, and oversee corrective actions to support informed management decisions and risk mitigation
• Communicate risk governance standards, quality assurance procedures, and effective control practices to support consistent application of enterprise risk expectations
• Evaluate the adequacy and effectiveness of corrective actions taken on past reviews and provide independent reporting and challenge on the status of approved recommendations
• Partner with management and key staff from other business units to provide independent guidance and effective challenge on operational risk issues, risk identification, and solution design
• Ensure understanding and independent oversight of implementation of new operational risk policies and procedures
• Develop and translate strategy and goals into second-line oversight priorities, objectives, plans, and actions
• Apply subject matter expertise in AI risk governance and second-line oversight to independently assess and challenge the consistent application of policies, standards, and governance requirements
• Provide guidance to business units, Risk Officers, and peer risk domains on AI risk treatment, governance expectations, and control design, while maintaining independent oversight and effective challenge
• Participate in cross-functional governance forums and committees related to AI, model risk, and emerging technology risks, representing second-line risk perspectives and providing independent challenge

• Broad knowledge of applicable federal and state laws, rules and regulations
• Broad knowledge of banking/financial industry trends, products and services
• Experience leading an analytics operation, preferably in a large financial institution, including operational and regulatory risk controls
• Strong understanding of governance structures
• Experience demonstrating thought-leadership, initiative-taking, decision making and creativity solving business problems
• Experience managing multiple priorities independently and/or in a team environment to achieve goals
• Broad knowledge of regulatory and industry standards impacting financial and debit/credit card products debit/credit card fraud detection, analytics, trends, programs and industry regulations
• Experience analyzing data to identify red flags for operational risks
• Experience collaborating with all levels of staff, management, stakeholders, vendors
• Bachelor's Degree in Business Administration, Auditing, or related field or equivalent combination of training, education and experience, * Master's Degree in related field or equivalent combination of training, education and experience
• Understanding AI solutions and/or AI Governance and Risk Management processes
• Demonstrated experience with NIST AI Risk Management Framework or similar

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