AI Risk Management Governance – Technology and Operations Risk Management – Advisor
Fannie Mae
full-time
Posted on:
Location Type: Hybrid
Location: Plano • District of Columbia • Texas • United States
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Salary
💰 $141,000 - $184,000 per year
About the role
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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