Director, AI Management & Technology

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

The Director, AI Management & Technology leads the technical-management and management-technology capabilities within Pen Fed’s AI Management function. Reporting to the AVP, Responsible AI Architecture & Governance, the Director translates approved policies, standards, and objectives into technical requirements, architecture guidance, decision criteria, and scalable technology capabilities.

The role provides enterprise guidance and serves as a trusted advisor for Large Language Models, Generative AI, agents, embedded AI, and emerging technologies. It also leads the functional strategy for AI management systems, workflows, integrations, data, and reporting.

Equivalent combination of education and experience is considered.

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Artificial Intelligence, or a related field.
• Minimum 8 to 10 years of progressive experience in artificial intelligence, enterprise architecture, data, technology governance, AI engineering, or related disciplines.
• Minimum of 2 to 4 years of direct people & program management experience required.
• Demonstrated experience with Generative AI, LLMs, foundation models, agents, enterprise AI platforms, or modern AI architectures.
• Experience developing enterprise technical standards, architecture requirements, governance frameworks, reference patterns, or technology strategies.
• Experience evaluating AI technologies across multiple providers, platforms, and deployment approaches.
• Demonstrated experience leading complex, cross-functional initiatives and advising senior leadership.
• Strong understanding of AI governance, Responsible AI, Information Security, Privacy, Data Governance, Model Risk Management, third-party risk, and regulatory considerations.
• Experience with in financial services or another highly regulated industry preferred.
• Experience supporting regulatory examinations, audits, governance bodies, or enterprise risk decisions preferred.
• Prior formal people-leadership experience preferred.
• Advanced degree preferred.

This position will supervise employees.

There are no additional certifications required.

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.*

Ability to travel to various worksites is required.

The anticipated starting salary range for this role is $97,400.00 - $This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval.

This position is eligible for an individual performance based annual bonus.

#LI-Hybrid

Reasonable accommodations 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.

• Develop and maintain AI management architecture requirements and reference patterns consistent with enterprise frameworks.
• Translate AI policies, standards, Responsible AI principles, and regulatory expectations into practical technical and technology requirements.
• Lead technical governance evaluations of AI platforms, tools, embedded AI, integrations, and material technology changes.
• Guide enterprise decisions involving model capabilities, limitations, data access, hosting, autonomy, permissions, human oversight, monitoring, traceability, and lifecycle management.
• Identify systemic risks, architectural dependencies, control gaps, and opportunities for standardization across AI technologies and use cases.

• Lead technical evaluations of LLM families and variants, agents, agentic workflows, and emerging AI capabilities.
• Develop recommendations concerning the approval, restriction, reassessment, replacement, or retirement of LLMs and other AI technologies.
• Establish requirements and evaluation criteria for agents, orchestration technologies, and emerging AI capabilities.
• Monitor developments in AI technologies and recommend appropriate updates to requirements, standards, and technical guidance.

• Own the functional strategy and roadmap for the AI Inventory and related technology.
• Define system…