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

Fannie Mae

Advisor for AI Risk Governance at Fannie Mae responsible for establishing governance frameworks and ensuring ethical AI deployment across the enterprise. Leading innovation in alignment with regulatory expectations.

Posted 4/16/2026full-timePlano • District of Columbia, Texas, Virginia • 🇺🇸 United StatesSeniorLead💰 $141,000 - $184,000 per yearWebsite

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI governanceML governancerisk managementtechnical writingdeep learningmulti-modal modelsagentic constructsautonomous systemsAI architecturesdata governance

Soft Skills

stakeholder influencecommunicationtechnical leadershipcross-functional collaborationrelationship buildingexecutive presenceinfluencestrategic thinkingproblem-solvingadaptability