AI Governance Lead

We are seeking a highly skilled Senior AI Governance Lead to directly support executive decisionmakers within one of the largest National Security Federal Agencies that are continuing to design, implement and evolve their AI Governance and Policy practices. In this pivotal role, you will champion the safe, secure, and compliant deployment of artificial intelligence across the enterprise. You will bridge the gap between cutting-edge AI innovation, robust cybersecurity protocols, and federal compliance, ensuring that all AI initiatives align with agency missions and federal mandates within complex, multi-cloud architectures.

About the role

Serve as a trusted advisor to the CTO, providing strategic direction on AI governance, ethical AI deployment, and risk management framework implementation. Support the authoring, refining, and institutionalization of high-impact federal policy memos, directives, and governance standards guiding agency-wide AI usage. Partner closely with cybersecurity teams, data scientists, cloud architects, and legal counsel to embed governance metrics directly into the system development lifecycle. Oversee the security and compliance reviews of AI models and tools operating across complex, enterprise-level multi-cloud environments such as AWS, Azure, and Google Cloud. Monitor and ensure absolute alignment with executive orders, OMB mandates, and federal cybersecurity standards governing AI and data privacy. Evaluate AI pipeline vulnerabilities, including data poisoning, model drift, and adversarial attacks, and design technical mitigation guardrails. Full AI Operating Model Governance. Unify the fragmented AI lifecycle process coordinating with AI Architects to provide cohesion.

Responsibilities

• Serve as a trusted advisor to the CTO, providing strategic direction on AI governance, ethical AI deployment, and risk management framework implementation.
• Support the authoring, refining, and institutionalization of high-impact federal policy memos, directives, and governance standards guiding agency-wide AI usage.
• Partner closely with cybersecurity teams, data scientists, cloud architects, and legal counsel to embed governance metrics directly into the system development lifecycle.
• Oversee the security and compliance reviews of AI models and tools operating across complex, enterprise-level multi-cloud environments such as AWS, Azure, and Google Cloud.
• Monitor and ensure absolute alignment with executive orders, OMB mandates, and federal cybersecurity standards governing AI and data privacy.
• Evaluate AI pipeline vulnerabilities, including data poisoning, model drift, and adversarial