Senior Director AI Security

About the role

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.

Responsibilities

• 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.

Qualifications

• Deep understanding of LLMs, generative AI, and model lifecycle.
• Strong knowledge of data privacy, model governance, and adversarial AI/ML.
• Proven understanding of business focus and processes, and ability to inject cybersecurity into the business through teamwork and influence.
• High level of integrity and trustworthiness, as well as confidence to represent the company and security leadership with the highest level of professionalism.
• Bachelor's Degree in computerscience, Information Security, Engineering, Data Science or related field.
• Master's Degree in Computer Science, Information Security, Engineering, Data Science or related field.
• 10 years or more in Progressive cybersecurity leadership.
• 3 years or more in experience designing, implementing, and securing AI/ML.
• 2 years or more in experience in Amazon Web Services (AWS), Google Cloud Platform (GCP) and/or Microsoft Azure cloud computing security configuration and management.
• 2 years or more in experience in application security with an emphasis on AI/ML.
• 5 years or more in leading security architecture or engineering organizations.
• Demonstrated project management, multitasking and organizational skills.
• Advanced knowledge of industry accepted risk management frameworks and standards such as the NIST AI Risk Management Framework, NIST Risk Management Framework (RMF), NIST Privacy Framework, etc.
• Advanced knowledge of industry accepted Information Security frameworks and standards such as the NIST Cybersecurity Framework (CSF), ISO27001, ISO 42001, NIST 800 Series, OWASP GenAI Security Project, etc.
• Advanced in AI Security Management (AAISM).
• Prior certification: 1 Year Certified Secure Software Lifecycle Professional (CSSLP).
• Prior certification: 1 Year Certified Information Systems Security Professional (CISSP).
• Upon Hire: Certified Cloud Security Professional (CCSP).

Skills

• Required: Deep understanding of LLMs, generative AI, and model lifecycle.
• Required: Strong knowledge of data privacy, model governance, and adversarial AI/ML.
• Required: Proven understanding of business focus and processes, and ability to inject cybersecurity into the business through teamwork and influence.
• Required: High level of integrity and trustworthiness, as well as confidence to represent the company and security leadership with the highest level of professionalism.
• Preferred: Bachelor's Degree in computerscience, Information Security, Engineering, Data Science or related field.
• Preferred: Master's Degree in Computer Science, Information Security, Engineering, Data Science or related field.
• Preferred: 10 years or more in Progressive cybersecurity leadership.
• Preferred: 3 years or more in experience designing, implementing, and securing AI/ML.
• Preferred: 2 years or more in experience in Amazon Web Services (AWS), Google Cloud Platform (GCP) and/or Microsoft Azure cloud computing security configuration and management.
• Preferred: 2 years or more in experience in application security with an emphasis on AI/ML.
• Preferred: 5 years or more in leading security architecture or engineering organizations.
• Preferred: Demonstrated project management, multitasking and organizational skills.
• Preferred: Advanced knowledge of industry accepted risk management frameworks and standards such as the NIST AI Risk Management Framework, NIST Risk Management Framework (RMF), NIST Privacy Framework, etc.
• Preferred: Advanced knowledge of industry accepted Information Security frameworks and standards such as the NIST Cybersecurity Framework (CSF), ISO27001, ISO 42001, NIST 800 Series, OWASP GenAI Security Project, etc.
• Preferred: Advanced in AI Security Management (AAISM).
• Preferred: 1 Year Certified Secure Software Lifecycle Professional (CSSLP).
• Preferred: 1 Year Certified Information Systems Security Professional (CISSP).
• Preferred: Upon Hire: Certified Cloud Security Professional (CCSP).

Benefits

Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.

Pay

Pay Type : Salaried
Minimum Pay Range: $150,000.00
Maximum Pay Range: $200,000.00

Contact Us

If you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com .