Jobs · Engineering · Texas

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

Fannie Mae · Plano, TX · Yesterday
EngineeringFull-time

Position

We are seeking a strategic and forward-thinking leader to serve as the Head of Data Platform & AI First Line Risk Management.

Impact

You will enable responsible AI and data innovation by embedding strong governance, controls, and risk discipline directly into technology and platform lifecycles.

Key Responsibilities

  • 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 lakes, warehouses, streaming, and cloud ecosystems)
    • 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.

Qualifications

  • 15+ years of experience in technology risk, data risk, AI risk, operational risk, or related disciplines.
  • Proven leadership experience building and scaling risk or technology functions.
  • Familiarity with AI governance frameworks and regulatory expectations.
  • Executive presence with the ability to influence senior and C-suite stakeholders.
  • Strong strategic thinking combined with hands-on execution capability.
  • Bachelor’s degree required.
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Preferred Qualifications

  • Advanced degree (MBA, MS in Data/AI, or related field).

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