Senior Director, AI Cyber Programs & Emerging Technology

About this role

Job Description Summary:

Overview  

The Senior Director, AI Cyber Programs and Emerging Technology leads The Coca-Cola Company's efforts to harness artificial intelligence for cyber defense while ensuring the Company's growing use of AI across the enterprise is secure, resilient, and responsibly deployed. This is a dual-mission role: accelerating AI adoption within the cybersecurity function and serving as the hands-on technical leader who partners with AI governance, Data & AI, and business units to safeguard the Company's AI investments.  

Reporting to the Senior Director, Cyber Defense, this role builds and leads a specialized team of AI security and automation professionals. The Senior Director sets the technical direction for agentic security operations, AI-driven detection and response, and adversarial AI testing, while also scanning the horizon for emerging technology risks such as quantum computing, next-generation adversary tradecraft, and novel attack surfaces introduced by rapidly evolving technology platforms. The role requires equal comfort   working with senior leadership within the Company   and hands-on technical environments.  

Key Responsibilities  

AI-Enabled Cyber Defense  

• Define and execute the strategy for deploying AI and machine learning capabilities across the cybersecurity function, including agentic security operations, automated threat detection, intelligent triage, and AI-assisted vulnerability management.  

• Identify , evaluate, and pilot emerging AI technologies that can measurably improve the speed, accuracy, and coverage of cyber defense operations.  

• Partner with Cybersecurity Operations, Threat Intelligence, and Security Engineering teams to embed AI capabilities into existing workflows and tooling.  

• Establish metrics and feedback loops to measure the effectiveness of AI-driven security capabilities and continuously improve them.  

Enterprise AI Security  

• Serve as the senior technical advisor on securing the Company's use of AI, including large language models, machine learning pipelines, agentic AI systems, and third-party AI-enabled products.  

• Partner with AI Risk & Governance, Legal, Privacy, and Data & AI to translate governance policies into hands-on technical controls and security requirements.  

• Lead technical assessments of AI systems for risks including prompt injection, data poisoning, model exfiltration, training data leakage, and adversarial manipulation.  

• Develop and   maintain   security standards, reference architectures, and guardrails for the secure development and deployment of AI systems across the enterprise.  

Adversarial AI Testing Program  

• Oversee the Company's AI red team capability, ensuring systematic adversarial testing of AI models, AI-enabled applications, and AI infrastructure before and after deployment.  

• Ensure testing methodologies align with industry frameworks such as NIST AI Risk Management Framework, MITRE ATLAS, and OWASP Top 10 for LLMs.  

• Coordinate with external partners, consultants, and bug bounty programs for specialized AI security assessments as needed.  

Emerging Technology Risk  

• Monitor the technology landscape for emerging risks and opportunities, including quantum computing readiness, post-quantum cryptography, novel adversary techniques, and new attack surfaces introduced by evolving enterprise technology.  

• Advise   Cyber Defense leadership and the CISO on the security implications of emerging technology trends and recommend proactive measures.  

• Represent the Company's cybersecurity perspective in cross-functional emerging technology forums and industry working groups.  

People Leadership & Team Development  

• Build, lead, and develop a high-performing team of AI security and automation professionals.  

• Set clear performance expectations, provide regular coaching and feedback, and create career development paths for team members.  

• Foster a culture of innovation, technical excellence, and continuous learning within the team.  

• Manage   goals,   objectives ,   vendor relationships, and resource planning for the AI Cyber Programs function.  

Qualifications  

• Minimum 12–15 years of progressive cybersecurity experience, with at least 5 years in leadership roles and significant hands-on experience applying AI and machine learning to security operations.  

• Demonstrated experience building and deploying AI-driven security capabilities in a large, complex enterprise environment, including agentic AI, automated detection and response, or AI-assisted threat analysis.  

• Strong technical understanding of AI and machine learning fundamentals, including large language models, ML pipelines, agentic frameworks, prompt engineering, and adversarial AI techniques.  

• Working knowledge of AI security risks, including prompt injection, data poisoning, model inversion, training data extraction, and supply chain risks in AI/ML toolchains.  

• Familiarity with AI governance and risk frameworks such as NIST AI RMF, ISO/IEC 42001, MITRE ATLAS, and OWASP Top 10 for LLMs.  

• Experience with emerging technology risk assessment, including quantum computing implications for cryptography and security.  

• Strong executive presence with the ability to translate complex technical topics into clear, actionable language for senior leadership and cross-functional partners.  

• Track record   of building and leading technical teams, including hiring, mentoring, and developing talent in a fast-moving domain.  

• Relevant certifications such as CISSP, CISM, GIAC (any), or AI-specific credentials (e.g., IAPP AIGP) are preferred.  

Education  

• Bachelor's degree in Computer Science , Cybersecurity, Engineering, Data Science, or related technical field   required .  

• Master's degree in a relevant discipline, or equivalent professional experience and certifications, highly desirable.  

Reporting Relationship  

Reports to the Senior Director, Cyber Def

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