Governance Lead

What you'll do

• Develop and maintain enterprise policies, standards, and procedures for the acquisition and deployment of AI technologies.
• Design governance processes including review boards, approval workflows, escalation paths, and exception processes.
• Translate federal requirements and agency priorities into actionable technical guidance for engineering and data teams.
• Develop governance approaches for generative AI, AI agents, and third-party models including human oversight and evaluation.
• Define technical requirements for AI inventories, model registries, access controls, and monitoring guardrails.
• Facilitate working groups and prepare executive briefings to build organizational consensus on technology tradeoffs.
• Measure governance effectiveness by assessing adoption, compliance, and identifying implementation barriers.

What we're looking for

• 10+ years of experience in technology governance, technology policy, enterprise risk, or digital transformation.
• 3+ years of experience in AI governance or AI policy.
• Experience leading enterprise technology policy or governance initiatives for a federal agency or complex, regulated organization.
• Experience advising senior executives and producing concise, decision-oriented briefings, policy documents, and recommendations.
• Experience designing governance structures, including review boards, risk assessments, accountability models, and exception management.
• Knowledge of AI and generative AI capabilities, limitations, and risks, including model evaluation, data quality, and bias.
• Ability to interpret federal policy and oversight requirements and coordinate across technical teams and mission organizations.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
• Experience supporting large federal organizations with law enforcement, security, or sensitive missions (preferred).
• Experience governing AI across multiple cloud providers, enterprise platforms, and self-hosted environments (preferred).
• Knowledge of federal AI requirements, NIST AI risk management resources, and related privacy or cybersecurity processes (preferred).
• Master's degree in AI governance, technology policy, public administration, risk management, program management, or organizational change (preferred).
• AI governance, Technology Policy, Public Administration, Risk Management, Program Management, or Organizational Change Certification (preferred).