Senior Director AI Security

Job Description

The Senior Director AI Security is responsible for establishing, leading, and continuously maturing the enterprise AI Security program. Reporting directly to the Chief Information Security Officer, this leader develops the organization's strategy for securing Artificial Intelligence technologies while enabling responsible innovation across the enterprise.

The Senior Director AI Security is responsible for establishing, leading, and continuously maturing the enterprise AI Security program. Reporting directly to the Chief Information Security Officer, this leader develops the organization's strategy for securing

Artificial Intelligence technologies while enabling responsible innovation across the enterprise.

The Senior Director serves as the executive leader responsible for governance, security architecture strategy, risk management, secure adoption, regulatory compliance, and operational oversight of AI technologies, including Generative AI, Large Language Models (LLMs), AI agents, machine learning platforms, autonomous systems, and emerging AI capabilities.

This role partners closely with executive leadership, Enterprise Architecture, Data & Analytics, Legal, Privacy, Technology, Procurement, Risk Management, Internal Audit, and business leaders to ensure AI technologies are implemented securely, responsibly, and in alignment with business objectives.

They will recruit, develop, and lead a high-performing team of AI security architects, engineers, and specialists.

• Develop and execute the enterprise AI Security strategy, operating model, governance framework, and multi-year roadmap.
• Establish enterprise AI security standards, policies, reference architectures, and secure development requirements for AI technologies.
• Lead AI security risk management including model governance, third-party AI assessments, AI inventory, threat modeling, and regulatory compliance.
• Build and lead the AI Security organization including hiring, mentoring, budgeting, strategic planning, and operational execution.
• Partner with technology, architecture, engineering, legal, privacy, procurement, and business leaders to securely enable enterprise AI adoption.
• Oversee AI security architecture reviews, secure design approvals, and security assessments for enterprise AI initiatives.
• Monitor emerging AI threats, vulnerabilities, adversarial AI techniques, regulatory developments, and industry best practices, adjusting strategy accordingly

• Develop enterprise standards for acceptable AI usage.
• Establish AI model governance processes.
• Define AI security review requirements for all new AI initiatives.
• Build enterprise AI risk assessment methodologies.