VP, AI Governance & AI

Job Overview

We are seeking an experienced Vice President of AI Governance & Responsible AI to lead the development and implementation of comprehensive AI governance frameworks within our company. Reporting to the Senior Vice President of Data Governance & Responsible AI, this role requires 10+ years of expertise in AI governance, ethics, and risk management, with a deep understanding of financial services regulatory requirements.

The ideal candidate will establish responsible AI principles, drive ethical AI adoption, enable technical innovation, ensure compliance with evolving regulatory standards, and unlock business value from AI technologies.

• Design, implement, and continuously improve enterprise‑wide AI governance frameworks that align with regulatory requirements, industry best practices, and organizational values.
• Establish and chair AI governance committees, including AI Ethics Boards and Model Risk Management forums, to oversee AI development, deployment, and monitoring.
• Develop responsible AI principles, policies, and standards addressing fairness, transparency, explainability, accountability, privacy, and safety.
• Create and maintain AI governance documentation, including charters, playbooks, standard operating procedures, and decision frameworks.
• Ensure AI systems comply with financial services regulations, including FCRA, ECOA, fair lending laws, model risk management guidance (SR 11‑7), and emerging AI‑specific regulations.
• Develop and implement AI risk assessment frameworks to identify, measure, monitor, and mitigate risks such as algorithmic bias, model drift, data quality issues, and adversarial threats.
• Collaborate with Legal, Compliance, and Risk Management teams to interpret regulatory guidance and translate requirements into actionable technical controls.
• Lead regulatory examinations and audits related to AI systems, preparing documentation and responding to examiner inquiries.
• Establish model validation standards and processes for AI/ML models across the organization, including testing for bias, fairness, and robustness.
• Implement AI model inventory and lifecycle management systems to track models from development through deployment and retirement.
• Define and implement explainability and interpretability requirements for AI systems, ensuring stakeholders can understand model decisions.
• Partner with technology teams to embed governance controls in AI development platforms, MLOps pipelines, and production environments.
• Build partnerships across business units, technology, risk management, compliance, legal, and human resources to embed responsible AI practices.
• Develop and deliver training programs on responsible AI, AI ethics, and governance requirements for technical and non‑technical audiences.
• Establish metrics and KPIs to measure the effectiveness of AI governance programs and responsible AI practices.
• Develop ongoing monitoring capabilities for deployed AI systems to detect performance degradation, bias drift, and compliance issues.
• Stay current with emerging AI technologies, governance frameworks, regulatory developments, and industry best practices, adapting organizational approaches accordingly.

• 10+ years of progressive experience in AI governance, responsible AI, AI ethics, or related fields, with at least 5 years in financial services.
• Experience with AI/ML technologies, including supervised and unsupervised learning, deep learning, natural language processing, and generative AI.
• Demonstrated expertise in developing and implementing AI governance frameworks in regulated financial services environments.
• Experience with AI risk management, including bias detection and mitigation, model validation, and adversarial robustness testing.
• Experience managing regulatory examinations, audits, or third‑party assessments related to AI/ML systems.

• AI Ethics & Responsible AI:
  Deep understanding of ethical frameworks for AI development and deployment, including fairness, accountability, transparency, and explainability principles.
• Governance &
  
  Risk Management:
  
  Expertise in designing and implementing governance structures, control frameworks, and risk…