Artificial Intelligence Data Governance Officer

• Administer the Bank’s enterprise AI risk governance framework and supporting procedures.
• Coordinate AI use-case intake, assessment, classification, and governance activities across business lines and corporate functions.
• Serve as coordinator for the AI Working Group, preparing agendas and meeting materials, maintaining decision logs, and tracking action items.
• Maintain the enterprise inventory of AI use cases and governance records.
• Assess AI implementations and determine applicable governance requirements and control expectations.
• Develop management reporting and dashboards covering AI inventory, approvals, issues, and emerging risks.
• Monitor compliance with AI governance standards and escalation to executive leadership.
• Promote awareness of AI governance requirements throughout the institution.
• Develop and maintain enterprise AI risk policies, standards, and procedures.
• Serve as a senior Model Risk team member and delegate of the Chief Model Risk Officer for model approvals and issue closures.
• Research and evaluate emerging modeling techniques, including AI/ML, and assess applicability and risk implications.
• Enhance the model risk management framework, including validation methodologies, documentation standards, and governance practices.
• Review academic and industry research, summarize insights, and propose practical applications for model risk oversight and innovation.
• Interpret evolving AI regulatory expectations and translate them into practical governance requirements.
• Coordinate regulatory examinations, audits, and independent reviews of AI governance.
• Participate in enterprise initiatives involving emerging technologies and advanced analytics.
• Own the design, implementation, and enhancement of governance workflows within Archer or similar systems.
• Recommend customer service enhancements.

• Bachelor’s degree in risk management, business, economics, statistics, mathematics, information systems, computer science, law, or related discipline.
• Master’s degree in a related discipline is listed.
• 8–12 years of experience in a financial institution or consulting environment, with demonstrated exposure to AI governance.
• 3–5 years of experience evaluating or governing AI/ML use cases across the lifecycle, including pre-implementation assessment, control design, and post-deployment monitoring.
• Experience with generative AI, machine learning, or decision-support systems.
• Understanding of AI/ML risks, including bias, explainability, data dependency, and automation risk.
• Experience supporting or interacting with internal audit, regulators, or independent model review functions.
• Ability to apply risk-based judgment in ambiguous situations.
• Ability to analyze complex AI/ML concepts and communicate risks, limitations, and trade-offs to technical and non-technical stakeholders.
• Ability to challenge and influence business and technology stakeholders on risk identification, control design, and governance outcomes.
• Ability to identify patterns, emerging risks, and systemic issues across multiple AI use cases.
• Ability to make governance decisions regarding classification, control requirements, and escalation thresholds.
• Ability to coordinate cross-functional governance processes across Risk, Technology, Compliance, Legal, and Business teams.
• Ability to develop and interpret risk metrics, monitoring outputs, and performance indicators for AI systems.
• Licenses and certifications listed: CISA, CRISC, FRM, CTPRP, and relevant AI governance certifications.
• Ability to navigate Microsoft Office software, computer applications, and department-specific software.
• Ability to work as part of a team.
• Ability to work with on-site equipment.

Demonstrates expertise in AI governance, risk management, and compliance, with a strong ability to assess AI/ML implementations and develop governance frameworks. Proficient in coordinating cross-functional teams and communicating complex AI risks to diverse stakeholders.

• AI Governance
• Risk Management
• AI/ML Evaluation
• Regulatory Compliance
• Model Risk Management

• AI Risk Assessment
• Governance Framework Development
• Data Analysis
• Model Validation Methodologies
• Risk Metrics Development

• Stakeholder Communication
• Influencing Skills
• Team Collaboration
• Judgment in Ambiguous Situations

• CISA
• CRISC
• FRM
• CTPRP
• AI Governance Certifications

• AI Risk Governance
• Financial Institution
• Emerging Technologies
• Compliance Standards
• Model Risk Oversight

• Archer
• Microsoft Office
• Decision-Support Systems