Director, AI Risk Governance & Validation Lead - SMBC
Core
Lead a specialist team to provide technical assurance and evidence review for AI model governance, validation, testing, and MLOps across the organization.
Role type
Senior IC AI Risk Governance & Validation Lead
Builds
Line 1.5 AI governance capability supporting use case intake, risk triage, and post-deployment governance
Domain
Financial Services / AI Risk Management
Deliverable
production ML models
Required skills
AI model governance, model validation, AI testing/QA/evaluations, MLOps, data governance, GenAI, agentic AI, regulatory expectations
Preferred skills
None stated
Technologies
Copilot Studio, Power Automate, RAG, model registry
Responsibilities
Lead a four-member specialist team covering AI model governance, model validation, AI testing/QA/evaluations, and AI engineering for governance validation. Review AI use cases from data governance, data risk, model lifecycle, and practical control perspectives before escalation. Oversee review and challenge of model/agent validation evidence including methodology, assumptions, and robustness testing. Provide leadership oversight over technical review of AI engineering, agentic workflows, and MLOps governance. Translate AI governance policy and regulatory expectations into practical review procedures, templates, and evidence standards.
Seniority
Senior, hands-on IC