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Booz Allen

Builds AI and cyber systems for the US government

AI Governance Lead

Regulatory Compliance & EthicsConfirmed live in the last 24 hours
Full-timeAshburn, VA, USA$86.8k - $198k /yrIn-person

About the Job

Requirements

  • 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 assisting in leading enterprise technology policy or governance initiatives for a federal agency or a complex, regulated organization, and assisting with authoring and implementing AI policies, standards, governance frameworks, or operational guidance.
  • Experience advising senior executives; producing concise, decision-oriented briefings, policy documents, and recommendations; and developing communication, training, or organizational change strategies that support adoption of new policies and technology practices.
  • Experience designing governance structures and processes, including review boards, risk assessments, approval criteria, accountability models, and exception management.
  • Knowledge of AI and generative AI capabilities, limitations, and risks, including model evaluation, data quality, bias, explainability, human oversight, and ongoing monitoring.
  • Ability to interpret federal policy and oversight requirements, translate them into clear responsibilities, decision processes, and implementation expectations, and coordinate across technical teams, mission organizations, and oversight functions to resolve issues and implement enterprise guidance.
  • Ability to lead complex initiatives independently, manage competing priorities, and influence stakeholders across organizational boundaries.
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
  • Bachelor’s degree.

Responsibilities

  • Assist in leading enterprise AI policy development, including assisting in developing and maintaining policies, standards, procedures, and implementation guidance for the acquisition, development, deployment, use, monitoring, and retirement of AI and emerging technologies.
  • Design practical governance processes and establish decision rights, review boards, approval workflows, escalation paths, and exception processes that clarify accountability and support timely, risk-informed decisions.
  • Translate requirements into implementation by assessing applicable federal requirements and agency priorities, identifying gaps, and coordinating with legal, privacy, civil rights, cybersecurity, acquisition, and technology stakeholders to develop actionable guidance.
  • Address emerging AI capabilities and develop governance approaches for generative AI, AI agents, retrieval-augmented generation, third-party models, and AI embedded in enterprise applications, including expectations for human oversight, evaluation, and acceptable use.
  • Connect policy to technical practices and partner with engineering, architecture, data, and cloud teams to define implementable requirements for AI inventories and model registries, evaluation, access controls, guardrails, monitoring, and supporting evidence.
  • Build executive alignment and organizational consensus.
  • Facilitate working groups, resolve competing stakeholder priorities, and prepare executive briefings, decision memoranda, and recommendations that explain options, tradeoffs, and mission implications.
  • Measure governance effectiveness, establish performance measures, assess adoption and compliance, identify implementation barriers, and recommend improvements based on operational feedback, assessments, and changes in technology.

Desired Qualifications

  • Experience supporting a large federal organization with law enforcement, security-related, or sensitive missions.
  • Experience assisting with developing governance for technologies that affect access to services or consequential government decisions.
  • Experience governing AI across multiple cloud providers, enterprise platforms, and self-hosted environments.
  • Experience establishing governance for AI agents, including delegated authority, tool access, human approvals, auditability, and incident escalation.
  • Experience defining contractual expectations for AI vendors, including evaluation evidence, data handling, model changes, transparency, and ongoing oversight.
  • Experience leading enterprise communities of practice, policy working groups, or change management initiatives across distributed mission organizations.
  • Knowledge of federal AI requirements, NIST AI risk management resources, and the relationship between AI governance and privacy, civil rights, records management, cybersecurity, and acquisition processes.
  • Knowledge of model and use case inventories, model registries, evaluation frameworks, AI monitoring, and governance platforms.
  • Master's degree in AI governance, technology policy, public administration, risk management, program management, or organizational change.
  • AI governance, technology policy, public administration, risk management, program management, or organizational change certification.

About the Company

Booz Allen

Builds AI and cyber systems for the US government

Booz Allen builds and runs technology for the U.S. government, mostly for the military and intelligence agencies, and its engineers work alongside consultants who know each agency's mission. In 1958, it helped the U.S. Navy create PERT, a project-scheduling method first used on the Polaris submarine missile program and later adopted across government and industry. Its teams design cyber defenses, AI and data tools, and battlefield communications, and it sells its own products, such as Vellox, a suite of AI tools that spot and fight off hackers. Agencies pay mainly through multi-year contracts that reimburse costs, bill hours, or set a fixed price. Booz Allen was founded in 1914 and is based in McLean, Virginia.

Company size
11-50
Company stage
IPO
Headquarters
McLean, VA
Founded
1914

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