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AI Enablement & Governance Lead

Job in Centennial, Albany County, Wyoming, 82055, USA
Listing for: Axos Bank
Full Time position
Listed on 2026-05-06
Job specializations:
  • IT/Tech
    AI Engineer, IT Project Manager, IT Consultant, Data Security
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Centennial

Target Range

$ /Yr.

- $ /Yr. Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education.

Eligible for an Annual Discretionary Cash Bonus Target: 10%.

Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10%.

These discretionary target bonuses may be awarded semi‑annually based upon your achievement of performance goals and targets.

About This Job

The FVP, AI Enablement and Governance Lead is a new role responsible for building and operating the Company’s AI governance program from the ground up. This individual will operationalize the AI Governance Management Directive and serve as the Company’s primary authority on AI risk, policy, lifecycle management and enterprise AI enablement. The role partners directly with the CISO, CRO, Head of CoE, and the broader organization to ensure that all AI use cases across the enterprise are identified, assessed, controlled, and deployed in a manner consistent with the Company’s risk appetite, regulatory obligations, and Responsible AI Principles.

This is a technical leadership role requiring knowledge of emerging AI tools, systems architecture, and security practices in a regulated environment.

Responsibilities Program Leadership & Strategy
  • 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; elevate 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, integrate new AI categories (agents, agentic workflows, embedded vendor AI) as they emerge, and build AI/automation tools to ensure governance capability is streamlined and scalable.
Cross‑Functional Partnership
  • 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.
Team & Operational Management
  • 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.
Qualifications
  • 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 an IT steering committee.
  • Strong project management discipline; proven track record
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