Vice President, AI Risk and Governance
Core
Own the firm's enterprise AI governance strategy, providing authoritative oversight and credible challenge across the AI lifecycle to enable responsible AI adoption while protecting the firm and its clients.
Role type
Senior IC AI Governance Executive (VP)
Builds
Enterprise AI governance framework, risk standards, decision rights, and oversight expectations.
Domain
Financial services / AI Risk and Governance
Deliverable
production ML models
Required skills
AI and machine learning concepts (GenAI, LLMs, AI agents), AI risk domains (model performance, bias, data lineage, privacy), executive communication, leadership and influence, execution discipline, regulatory examination experience.
Preferred skills
Leading AI governance/responsible AI in regulated financial institutions, hands-on AI development/model validation, NIST AI RMF/ISO 42001 knowledge, professional certifications (AIGP, CRISC, CISSP, CISM, CISA, FRM).
Technologies
Generative AI, Large Language Models, Retrieval-Augmented Generation, AI Agents, NIST AI Risk Management Framework, ISO/IEC 42001, ISO/IEC 23894.
Responsibilities
Own and evolve the enterprise AI Governance Framework; Set strategic direction for AI governance; Provide independent review and credible challenge of AI/ML use cases; Evaluate AI solutions at architecture, model, data, and control levels; Chair enterprise AI governance forums; Serve as senior AI governance advisor to executive leadership; Establish clear accountability across Business, Technology, Security, and Compliance teams; Define key risk indicators and executive reporting; Oversee regulatory examinations and internal audit reviews; Build and lead a high-performing AI governance team.
Seniority
VP, strategic leadership with hands-on technical fluency.