Governance Lead

Booz Allen Hamilton•Ashburn, VA

2d•$86,800 - $198,000•Onsite

About The Position

The AI Governance Lead will help a large federal agency responsibly adopt artificial intelligence and emerging technologies in support of its mission. The role assists with developing enterprise policies, governance frameworks, and implementation guidance that enable innovation while addressing operational, legal, privacy, civil rights, and security considerations. Working at the intersection of technology, policy, and mission delivery, the Governance Lead advises federal executives and collaborates with technical teams to turn complex requirements into actionable guidance. The position calls for strategic thinking, consensus-building across a decentralized organization, and the ability to guide governance initiatives from initial concept through enterprise adoption.

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 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 to 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 and translate them into clear responsibilities, decision processes, and implementation expectations.
Ability to 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.

Nice To Haves

Experience supporting a large federal organization with law enforcement, security-related, or sensitive missions.
Experience 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.
Certification in AI governance, technology policy, public administration, risk management, program management, or organizational change.

Responsibilities

Assist in developing and maintaining enterprise AI policies, standards, procedures, and implementation guidance covering acquisition, development, deployment, use, monitoring, and retirement of AI and emerging technologies.
Design governance processes, including decision rights, review boards, approval workflows, escalation paths, and exception processes, to clarify accountability and support timely, risk-informed decisions.
Assess applicable federal requirements and agency priorities, identify gaps, and coordinate with legal, privacy, civil rights, cybersecurity, acquisition, and technology stakeholders to create actionable guidance.
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.
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 and resolve competing stakeholder priorities.
Prepare executive briefings, decision memoranda, and recommendations explaining options, tradeoffs, and mission implications.
Establish performance measures, assess governance adoption and compliance, identify implementation barriers, and recommend improvements based on operational feedback, assessments, and technology changes.