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Sr. AI Program Analyst
PenFed Credit Union is hiring for the role of Sr. AI Program Analyst, McLean, VA (On-site). This is an AI Governance role in the governance, risk, and compliance field, with a posted range of $60,000 - $123,433. Review the full details below and apply directly with PenFed Credit Union.
Pentagon Federal Credit Union (PenFed) is hiring a Senior AI Program Analyst to support its enterprise Responsible AI program. The analyst reviews AI governance frameworks, policies, and the organization's AI portfolio; evaluates testing and monitoring data against Responsible AI standards; supports policy drafting; monitors regulatory developments; and assists with bias detection. This is a governance and analysis role rather than a model-building or engineering position, and the analyst does not design AI models or independently approve risk outcomes. Hybrid, based in McLean, Virginia, with an additional location in San Antonio, Texas.
Location and market context
This role is based in McLean on-site. Local candidates benefit from being close to PenFed Credit Union's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance roles
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance role
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how PenFed Credit Union would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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