VP, AI Governance – Responsible AI

Role Overview

• 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 including 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

Requirements

• 10+ years of progressive experience in AI governance, Responsible AI, AI Ethics, or related fields, with at least 5 years in Financial Services
• Deep understanding of 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
• Comprehensive knowledge of financial services regulations affecting AI systems, including model risk management, fair lending, consumer protection, and data privacy laws
• Proven 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
• Bachelor’s degree in computer science, Data Science, Engineering, or related technical field required

Benefits

• 401K matching
• health benefits
• employee stock options
• paid time off
• volunteer time off