Cyber Risk Jobs in Washington (NOW HIRING)

Remote Work:
Hybrid
Job Number:
R0242930
Location:
McLean,VA,US
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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.
You Have:

• 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 if You Have:

• 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

Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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