Senior Director, AI Cyber Programs & Emerging Technology

Coca-Cola; Georgia; On-site; USD 180,000 - 240,000; Full time

Job summary

The Coca-Cola Company seeks a Senior Director, AI Cyber Programs and Emerging Technology to lead AI-powered cyber defense and secure enterprise AI adoption. You will build a high-performing team, shape strategy for agentic security, ML-driven detection, and adversarial testing, and partner with AI governance, Legal, Privacy, and Data & AI.

This role requires deep cybersecurity leadership, hands-on technical expertise with AI/ML, and the ability to communicate with senior leadership while

Qualifications

• 12–15 years of cybersecurity experience, incl. 5 years in leadership.
• Hands-on AI/ML security in large enterprises.
• Strong knowledge of agentic AI, detection and response.
• Familiarity with AI governance frameworks.
• Experience with vendor management and team development.

Responsibilities

• Define and execute AI-driven security strategy across cybersecurity functions.
• Pilot emerging AI technologies to improve defense speed and accuracy.
• Embed AI capabilities into workflows with security teams.
• Lead AI risk assessments including prompt injection and data leakage.
• Develop security standards and guardrails for AI deployment.
• Oversee AI red team testing aligned with NIST/ATLAS/OWASP.
• Monitor emerging tech risks like quantum readiness and post-quantum cryptography.
• Lead people development and vendor relationships.

Skills

AI security leadership

Team leadership

Cybersecurity strategy

ML security

Threat detection

Tools

NIST AI RMF

MITRE ATLAS

OWASP Top 10 for LLMs

Job description

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 em