Director, AI Management & Technology

PenFed Credit Union; McLean, Northern (VA, KY); Hybride; USD 97 000 - 213 000; Plein temps

Résumé du poste

PenFed Credit Union is seeking a Hybrid Director of AI Management & Technology in Tysons, VA to lead AI governance, architecture, and program leadership. You will steer enterprise AI platforms, data workflows, and regulatory alignment across large-scale AI initiatives.

The role requires 8–10 years in AI, architecture, or related fields, with 2–4 years of leadership experience and a strong track record in evolving AI strategies within highly regulated environments.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Artificial Intelligence, or a related field.
• 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.
• Prior formal people-leadership experience preferred.

Responsabilités

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

Connaissances

Generative AI

LLMs

Foundation models

Enterprise architecture

Data governance

Information Security

People leadership

Formation

Bachelor's degree

Advanced degree preferred

Description du poste

PenFed 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 PenFed’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 within 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.

Supervisory Responsibility

This position will supervise employees.

Licenses and Certifications

There are no additional 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 is required.

Pay Transparency

The anticipated starting salary range for this role is $97,400.00 - $213,408.00This 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.

AI Architecture

• 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.

LLM, Agent, and Emerging-Technology Management

• 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.

AI Management Technology

• Own the functional strategy and roadmap for the AI Inventory and related technology.
• Define system requirements for intake, inventory, workflow, approvals, lifecycle management, reassessment, evidence, reporting, permissions, and integrations.
• Maintain and prioritize the AI Management technology backlog and establish acceptance criteria for delivered capabilities.
• Coordinate with technical teams responsible for system design, development, administration, integration, and production support.

Testing and Monitoring Alignment

• Partner with the Responsible AI Specialist to translate policy, procedure, and technical risks into testing and monitoring considerations.
• Identify testing, monitoring, evidence, and reassessment needs associated with models, platforms, agents, integrations, permissions, data access, and material technology changes.
• Provide technical context to support the analysis and interpretation of testing and monitoring results.

Enterprise Leadership and Collaboration

• Serve as AI Management’s primary technical partner to Enterprise Architecture, AI Enablement, AI Engineering, Information Security, Data, platform teams, and applicable control functions.
• Provide technical analysis and recommendations to the AVP, AI Council, executive leadership, and other governance bodies.
• Represent AI Management in technical and architecture forums within authority delegated by the AVP.
• Support regulatory examinations, audits, assessments, and governance reviews involving AI technologies and management systems.
• Maintain clear boundaries between AI management and the responsibilities of Enterprise Architecture, AI Enablement, technical delivery teams, business owners, and Second-Line functions.

Capability Development

• Develop repeatable methods, reference materials, and decision frameworks that reduce dependency on individual expertise.
• Lead future AI management architecture, LLM governance, governance technology, or reporting resources as program demand warrants.