Enterprise Cybersecurity AI Risk Analyst

Booz Allen Hamilton•McLean, VA

1d•$99,000 - $225,000•Remote

About The Position

Enterprise Cybersecurity AI Risk Analyst The Opportunity: Cyber threats are everywhere, and the rapid evolution of artificial intelligence is changing how organizations evaluate technology, data, third-party services, and business risk. In all of this cyber and AI noise, how can teams understand the risks clearly enough to make safe, practical decisions? The answer is you, an information security risk specialist who can help break down emerging AI risk into clear, manageable actions. As an AI Cyber Risk Analyst on our Enterprise IT and Cyber Risk team, you’ll support the safe, risk-informed adoption of artificial intelligence across the organization. You’ll review AI tools, platforms, AI-enabled products, generative AI use cases, automation, machine learning-enabled capabilities, and third-party AI integrations to identify cyber, technology, compliance, and operational risk. You’ll work across technical and non-technical teams to understand how AI is being used, evaluate applicable policies and control expectations, and document risk decisions in a clear and defensible way. You’ll translate complex AI and cybersecurity concepts into concise business impact statements, risk summaries, and leadership-ready reporting. You’ll also help mature the enterprise AI cyber risk review process by contributing to scalable templates, consistent criteria, repeatable practices, and trend reporting that highlights recurring control gaps. This is your opportunity to serve as a key operator in a developing, high-visibility AI risk program while broadening your skills in AI governance, emerging technology risk, cybersecurity, and enterprise risk management. Work with us as we protect the enterprise while enabling responsible AI adoption. Due to the nature of work performed within this facility, U.S. citizenship is required. Join us. The world can’t wait.

Requirements

5+ years of experience supporting cyber, technology, product, or enterprise risk activities, including risk identification, risk assessment, control evaluation, issue documentation, risk reporting, or lifecycle management
Experience with GRC practices, including policy alignment, control expectations, exception handling, risk acceptance, issue tracking, audit or compliance support, or risk governance routines
Knowledge of artificial intelligence concepts, AI-enabled tools, generative or agentic AI, machine learning-enabled capabilities, or AI product and use case evaluation
Knowledge of industry-standard cybersecurity, privacy, AI, or risk frameworks, including NIST CSF, NIST AI RMF, NIST SP 800-53, NIST SP 800-171, ISO 27001, ISO 42001, MITRE ATLAS, or CMMC
Ability to write clear, concise, executive-ready risk summaries, and translate complex technical or emerging technology concepts into business impact
Ability to work across technical and non-technical teams with a collaborative, customer-service-oriented mindset
Ability to independently manage assigned workstreams, prioritize competing demands, follow through on deliverables, and operate effectively in a developing or evolving risk management environment
HS diploma or GED

Nice To Haves

Experience reviewing AI tools, generative AI use cases, AI-enabled products, automation, machine learning models, or emerging technology initiatives for cyber, privacy, compliance, operational, or business risk
Experience supporting AI governance, responsible AI, model risk, product risk, supplier or third-party risk, security architecture review, privacy review, or technology risk review processes
Experience with GRC or workflow platforms, including ServiceNow, Archer, Smartsheet, or Jira
Knowledge of common AI risk themes, including sensitive data exposure, prompt or input risk, output reliability, unauthorized use, model or tool access, third-party AI services, intellectual property considerations, monitoring, and human oversight
Knowledge of defense industrial base, federal, regulated, or compliance-driven environments
Ability to develop process documentation, risk review templates, control checklists, decision trees, dashboards, or reporting materials
Ability to mentor junior team members, coordinate across matrixed teams, or improve operational consistency within a developing program
Bachelor’s degree
Cybersecurity, risk, privacy, AI governance, or cloud Certification, including CISSP, CGRC, CRISC, CISA, Security+, AWS, Azure Certification

Responsibilities

Review AI tools, platforms, AI-enabled products, generative AI use cases, automation, machine learning-enabled capabilities, and third-party AI integrations to identify cyber, technology, compliance, and operational risk.
Work across technical and non-technical teams to understand how AI is being used, evaluate applicable policies and control expectations, and document risk decisions in a clear and defensible way.
Translate complex AI and cybersecurity concepts into concise business impact statements, risk summaries, and leadership-ready reporting.
Help mature the enterprise AI cyber risk review process by contributing to scalable templates, consistent criteria, repeatable practices, and trend reporting that highlights recurring control gaps.