Fannie Mae

AI Engineer

• Define and execute the vision, strategy, and roadmap for Data Platform and AI first line risk management
• Build and lead a high‑performing team of risk professionals aligned to data, AI, and platform domains
• Partner with senior technology, data, and business leaders to embed risk management into product, platform, and engineering lifecycles
• Act as a trusted advisor to executive leadership on AI, data, and emerging technology risks, including evolving regulatory expectations
• Establish and mature risk frameworks for AI/ML models and agent‑based systems, enterprise data platforms, data governance, privacy, and model risk
• Drive proactive risk identification, assessment, and mitigation across the technology and data stack
• Oversee risk appetite alignment, issue management, and control effectiveness
• Lead governance for responsible and trusted AI, including explainability, bias and fairness, transparency, third‑party and vendor AI risk, and controls for agentic and autonomous systems
• Design and embed scalable, automated first‑line controls into platforms and engineering workflows, including CI/CD pipelines, data pipelines, and AI lifecycle processes
• Ensure controls are measurable, testable, and aligned to enterprise standards
• Collaborate closely with second‑line risk, compliance, audit, and regulatory partners
• Represent the function in governance forums, risk committees, and executive reviews

Senior Director – Head of AI Platform, Data Risk Management, Technology and Operations Risk Management

Financial Planning and Analysis

• Lead end-to-end execution and ownership of the Risk and Control Self-Assessment (RCSA) program, including bi-annual or annual risk assessments, inherent and residual risk ratings, control documentation, walkthroughs, and evaluation of control design and operating effectiveness.
• Oversee issue management and remediation activities, including identification, documentation, and tracking of control gaps, audit findings, and regulatory issues, ensuring timely closure supported by appropriate evidence and executive reporting.
• Manage the identification, reporting, and analysis of non-financial risk events (incidents), including accurate classification, root cause analysis, and actions to prevent recurrence.
• Integrate RCSA data with other non-financial risk programs (e.g., compliance, business continuity, IT security) to deliver a comprehensive and consolidated view of the risk profile.
• Serve as a trusted advisor and subject-matter expert to senior leaders, process owners, and staff by providing guidance, training, and oversight to strengthen risk management practices and reinforce a strong risk culture across the business.

Non-Financial Risk Programs Lead – Technology and Operations Risk Management

Risk

• Provide strategic direction and thought leadership in the application of analytics and modeling techniques
• Collaborate with cross-functional teams in the development and execution of analytical initiatives
• Serve as a trusted advisor to senior leadership, offering insights based on data analysis
• Drive continuous improvement efforts to enhance analytical capabilities

Senior Director – Head of AI Platform, Data Risk Management, Technology and Operations Risk Management

Non-Financial Risk Programs Lead – Technology and Operations Risk Management

Risk and Analytical Modeling – Advisor