AI Enablement – Governance Lead

Role Overview

• Own and operate the AI Governance Management Directive, ensuring all AI use cases across the enterprise follow the mandatory operationalization process.
• Develop and maintain the AI Use Case Inventory and AI Tool Catalog; assign tracking IDs, manage lifecycle status, and ensure audit readiness.
• Set and communicate risk tier classifications in coordination with the CISO and CRO; escalate high-risk determinations as required.
• Report AI governance posture, program metrics, and risk trends to the IT Steering Committee on a quarterly basis.
• Continuously improve the governance framework: refine intake processes, update risk tier criteria as the regulatory environment evolves, and integrate new AI categories (agents, agentic workflows, embedded vendor AI) as they emerge.
• Build AI/Automation tools to ensure governance capability is streamlined and scalable.
• Serve as the primary liaison to CISO, ERM, TPRM, Compliance, Legal, and Model Risk Management (MRM) for all AI governance activities.
• Partner with business line owners to drive the operationalization process forward, removing blockers and escalating delays.
• Engage external regulators, auditors, and examiners on AI governance posture; own examination readiness for AI-related findings.
• Hire, develop, and manage two Governance Analysts; set performance expectations, provide coaching, and build team capability.
• Design and implement the intake tooling, workflow automation, and templates that enable the team to process efficiently.
• Manage the Shadow AI remediation program, ensuring use cases discovered outside the formal process are addressed per the directive.
• Develop and deliver AI governance training and acceptable use communications across the organization.
• Build the 12-month operational plan, headcount forecast, and budget for the CoE function; present re-staffing needs as monitoring load grows.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Business, Finance, or a related field; advanced degree or relevant certifications preferred (CISM, CRISC, CGEIT, or equivalent).
• 8+ years of experience in AI/ML technology delivery management, information security, or AI/ML governance in a regulated industry.
• Direct experience designing or operating AI governance programs, model risk management frameworks, or technology risk management processes in financial services.
• Deep understanding of the AI risk landscape: generative AI, machine learning models, AI agents, and the regulatory expectations governing their use in banking and financial services.
• Demonstrated ability to work across CISO, ERM, Legal, Compliance, and business lines — communicating risk in terms that resonate with each audience.
• Experience managing or significantly contributing to IT steering committee.
• Strong project management discipline; proven track record of building programs and processes from scratch with minimal infrastructure.

Benefits

• Medical, Dental, Vision, and Life Insurance
• Paid Sick Leave, 3 weeks’ Vacation, and Holidays (about 11 a year)
• HSA or FSA account and other voluntary benefits
• 401(k) Retirement Saving Plan with Employer Match Program and 529 Savings Plan
• Employee Mortgage Loan Program and free access to an Axos Bank Account with Self-Directed Trading