Support the build and execution of the Corporate Functions Risk (CFR) Artificial Intelligence (AI) Risk Program
Serve as a central point of coordination for AI use case onboarding and production governance
Provide consultative guidance to stakeholders on AI policy requirements, risk considerations, and governance expectations
Perform intake quality control (QC) to ensure completeness, proper classification, and readiness for downstream risk and governance processes
Coordinate routing of AI use cases to appropriate partners (CFR Technology Risk, Law Division, ISS, RM&C, etc.)
Support the end‑to‑end management of the AI Use Case Registry for CFR, ensuring all AI-use cases and technologies are accurately documented and maintained throughout their lifecycle
Validate completeness and accuracy of key registry attributes, including: AI category, risk tier, and autonomy level; Data classification and system dependencies; Use case purpose, ownership, and lifecycle status
Coordinate updates to the registry for material changes, enhancements, and decommissioning events
Contribute to development and refinement of registry standards, data requirements, and governance workflows
Establish and support risk‑based performance monitoring for AI use cases outside Model Risk Management (MRM) scope, including definition of metrics, thresholds, and escalation triggers to detect performance degradation, unintended outcomes, or emerging risk post‑deployment
Support execution of AI risk tiering processes, including identification of triggers requiring reassessment
Translate AI Technology Policy requirements into practical intake standards, guidance, and job aids for business stakeholders
Partner with cross‑functional risk teams to ensure alignment with Model Risk Management, Third Party Risk Management, Enterprise Data Governance, and other enterprise policies and programs
Requirements
Bachelor’s degree, or equivalent work experience
Typically 10+ years of applicable experience in risk management, compliance, audit, technology risk, or operational risk
Experience with AI/ML, emerging technologies, or advanced analytics governance
Familiarity with AI regulatory frameworks and guidance (e.g., NIST AI RMF, SR 11‑7, EU AI Act concepts)
Experience managing or supporting centralized registries, inventories, or governance tools (e.g., ServiceNow, SharePoint, GRC platforms)
Experience designing dashboards and developing self-service reporting using Microsoft Power Platform
Experience building, implementing, or leveraging artificial intelligence solutions to optimize business processes, improve efficiency, or enhance decision‑making
Demonstrated experience operating in a First Line of Defense risk role with accountability for execution and outcomes
Strong understanding of enterprise risk management concepts and the Three Lines of Defense model
Experience overseeing or supporting AI, emerging technology, or advanced analytics risk within financial services
Experience partnering closely with 2LOD risk functions while retaining 1FLOD ownership
Proven ability to lead complex, ambiguous risk topics and influence senior stakeholders
Experience with risk tooling and workflows (e.g., ServiceNow or similar platforms)
Applicable professional certifications a plus (e.g., CRCM, CRISC, CISA, PMP)
Strong analytical, problem-solving, and judgment skills in complex risk scenarios
Clear, executive-ready written and verbal communication
Ability to translate technical emerging technology concepts into actionable business risk decisions
Proven leadership of teams, processes, and cross-functional initiatives
Strong collaboration skills
Highly self-directed with the ability to build subject-matter expertise rapidly in emerging risk areas
Tech Stack
PMP
ServiceNow
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law