AI Governance & Controls Lead

About the Position

We are seeking an AI Governance & Controls Lead to operationalize our client's AI governance framework, ensuring compliance with regulatory standards.

Responsibilities

• Standards, Controls & Policy Execution

  • Author, maintain, and version the bank's AI standards library.
  • Build and maintain the obligation-to-control-to-evidence mapping against applicable regulatory guidance.
  • Operate the AI policy exception and TRM deviation processes.
  • Support annual policy refresh cycles and translate policy principles into testable, enforceable requirements.

• Platform-Enforced Governance & Evidence

  • Partner with the AI platform team to ensure governance requirements are enforced mechanically at the enterprise AI gateway.
  • Define evidence requirements and validate audit artifacts.
  • Design and operate continuous-monitoring practices.
  • Maintain the AI use case and agent registry as the system of record.

• Risk Partnership & Regulatory Readiness

  • Serve as the primary working-level interface for AI governance matters.
  • Assemble examiner-readiness packages.
  • Monitor the regulatory and industry landscape and assess impact to standards and controls.
  • Support AI Control Group and AI Ethics Working Group activities.

Requirements

Must have

• Bachelor's degree and a minimum of 5 years' experience in technology risk, IT governance, information security governance, or technology compliance within a regulated environment.
• Demonstrated experience authoring technology standards, controls, or policies and mapping them to regulatory obligations.
• Working technical fluency with modern AI systems: LLM-based applications, API gateways, model access patterns, RBAC/entitlements, logging and monitoring architectures.
• Experience preparing for or responding to internal audit, second-line review, or regulatory examination.
• Strong analytical writing: able to produce standards, deviation requests, and evidence narratives that survive challenge.
• Strong communication and stakeholder management skills across risk, technology, and business partners.

Nice to have

• Experience with AI/ML governance frameworks (NIST AI RMF, model risk management guidance, SR 11-7/SR 26-2 lineage).
• Familiarity with Azure services relevant to AI workloads (API Management, Entra ID, Key Vault, Azure Monitor) and with policy-as-code or controls-automation concepts.
• Financial services or other highly regulated industry experience.
• Experience with GRC tooling and evidence management.
• Experience supporting AI, data, or technology committees and governance forums.

Languages

• English: C1 Advanced

We Offer

• Competitive salary
• Opportunity to work in a dynamic and innovative environment
• Professional development opportunities

About the Company

[Company description if present]