Sr. Director AI Management; Monitoring & Testing

Position: Sr. Director AI Management (Monitoring & Testing)

Pen Fed is hiring a (Hybrid) Sr. Director AI Management (Monitoring & Testing) at our Tysons, Virginia location

This position is responsible for AI Ethics, Monitoring & Testing and will design and implement enterprise-wide standards, policies, and procedures for responsible AI testing and monitoring. This role focuses on creating uniform frameworks for monitoring, testing, and validating AI systems across the organization—ensuring ethical, compliant, and transparent practices—without directly performing operational testing. The ideal Director understands Pen Fed’s business environment and regulatory landscape to tailor these frameworks for scalability and adoption.

Equivalent combination of education and experience is considered.

• Master’s or bachelor’s in computer science, AI/ML, Ethics, or related field preferred.
• 12 years’ work experience with 5 in management and 1 at the Director level.
• Proven ability to design and implement enterprise-wide standards and frameworks.
• Strong understanding of AI/ML principles, bias detection, model monitoring, and explainability.
• Expertise in regulatory compliance and ethical AI best practices.
• Exceptional leadership and stakeholder engagement skills.
• Exceptional written communication skills and strong oral communication skills.
• Strong analytical, interpersonal, and decision‑making skills.
• Experience in financial services or other regulated industries preferred.
• Experience with AI observability platforms and governance tools preferred.

Supervisory Responsibility

This position will not supervise employees.

Licenses and Certifications

No additional licenses or certifications required.

Work Environment

While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise.

* Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.*

Travel

Ability to travel to various worksites and be on‑call is required.

#LI-Hybrid

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all‑inclusive list of job duties, and the position will perform other duties as assigned.

Framework Development

• Establish procedures and frameworks for responsible AI monitoring, testing, and validation across all business units.
• Define governance models that clearly articulate ownership, decision rights, escalation paths, and exception handling for AI systems.
• Establish enterprise requirements and standards for AI ethics, including fairness, accountability, bias detection, transparency, and explainability.

Policy & Compliance

• Develop and maintain AI policies aligned with emerging regulations (EU AI Act, NIST AI RMF), internal risk standards, and enterprise governance frameworks.
• Ensure responsible AI frameworks integrate with enterprise risk management and compliance programs and processes.

Oversight & Accountability

• Maintain visibility in the enterprise AI portfolio, including monitoring and testing coverage across use cases and platforms.
• Establish mechanisms to track adoption, maturity, gaps, and risks related to responsible AI practices.
• Escalate material gaps or risks to executive leadership with clear, actionable recommendations.

Cross‑Functional Enablement

• Partner with Data Science, Engineering, Operations, and Risk teams to embed responsible AI standards into the complete AI lifecycle.
• Provide strategic guidance and oversight that empowers teams to execute consistently.
• Collaborate with teams across the organization that support various technical platforms to evolve observability and monitoring capabilities to ensure adherence with defined AI governance and program standards.

Education & Advocacy

• Lead organizational training on responsible AI standards, ethical practices, and monitoring protocols.
• Serve as a thought leader and advisor to executive leadership on ethical AI, translating complex AI ethics topics into clear business insights.

Outcomes, Metrics, & Continuous Improvement

• Define and track key metrics related to responsible AI adoption, coverage, efficiency, and risk reduction.
• Monitor frameworks and continuously refine based on feedback, regulatory changes, and technological advancements.
• Establish metrics that help reduce variability across AI development and deployment, support faster time‑to‑value and reduced rework.

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