AI Risk Management Governance – Technology and Operations Risk Management – Advisor

Role Overview

• Define and deliver enterprise governance models for AI/ML, agentic systems, and orchestrated multi‑agent ecosystems.
• Establish AI risk tiering, oversight models, and decision accountability frameworks for AI/ML, decision tools, and autonomous systems.
• Develop escalation thresholds and human‑in‑the‑loop requirements aligned to AI risk profiles and regulatory expectations.
• Author and maintain AI governance frameworks, standards, and research to guide responsible AI adoption.
• Build governance frameworks for customer‑facing AI agents, ensuring explainability, transparency, and appropriate consent.
• Create strategic frameworks and best practices for data and AI governance that balance innovation velocity with safe, ethical, and compliant deployment.
• Identify and evaluate emerging AI governance challenges and evolving regulatory expectations.
• Align AI governance strategy with enterprise objectives, transformation initiatives, and competitive positioning.
• Build strong relationships across business lines and Corporate Functions to shape and embed AI governance requirements.
• Apply deep technical expertise in AI/ML, including traditional ML, deep learning, multi‑modal models, and agentic constructs, to inform practical governance and risk management strategies.
• Provide technical leadership in governance, controls, compliance, and risk management for AI‑enabled technologies and architectures.
• Lead and influence large‑scale, complex AI/ML initiatives through cross‑functional collaboration and stakeholder engagement.
• Demonstrate strong technical writing skills tailored to technical, regulatory, and executive audiences.
• Bring hands‑on experience with agentic AI, autonomous systems, and AI architectures to support effective governance design and execution.
• Maintain awareness of applicable AI and privacy regulatory landscapes, including FHFA guidance.
• Exhibit executive presence and the ability to influence senior leadership and external stakeholders.

Requirements

• 10+ years of experience in AI/ML governance, risk management, or related technical domains.
• Bachelor’s degree in a quantitative field.
• Strong technical writing, communication, and stakeholder influence skills.

Benefits

• Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being