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