Senior Director, AI Operational Governance

Summary: Senior Director, AI Operations Governance   Overview   The Senior Director, AI Operations Governance leads the operational engine that governs how The Coca-Cola Company designs, reviews, approves, deploys, and retires Artificial Intelligence across the enterprise. The role establishes and runs the intake, review, and approval process for AI use cases across every function and Operating Unit worldwide — enabling the business to move at speed while ensuring every AI solution is safe, secure, standardized, and compliant with Company policy and applicable law.   Reporting to the Senior Vice President & Chief Information Security Officer (CISO), this role serves as the CISO organization's senior operating leader on AI Governance and as a member of the Company's AI Risk Governance Council. Under delegated authority, the Senior Director holds tiered decision rights — approving lower-risk use cases within defined guardrails, requiring corrections on cases that   don't   meet standard, and escalating high-risk, novel, or regulated use cases to the Council or CISO for final decision.   This is a people-leader role. The Senior Director builds and leads a global team of governance professionals and partners closely with Legal, Privacy, the Data & AI organization, Cyber Risk, Cyber Defense, Internal Audit, and business leaders across Operating Units — bringing the enterprise one clear, consistent, and credible AI governance experience from idea to production and beyond.

AI   Operational   Governance Program Ownership   Own the Company's enterprise AI   operation s   governance   model — the process, standards, roles, decision rights, and tools that govern AI use cases at Coca-Cola.   Ensure the program enables rapid, safe, and   operationally aligned   AI adoption across every function and Operating Unit worldwide.   Set the operating cadence — intake reviews, tiered risk boards, exception forums, and escalation paths to the AI Risk Governance Council.   Continuously improve the   program   so governance keeps pace with the Company's AI   strategy,   ambitions   and the evolving external landscape.   Use-Case Intake, Review & Approval   Operate a single, well-known intake process for AI   use   cases   and tools   across all functions and Operating Units, from ideation through deployment.   Classify each use case   (including tools and products)   by risk tier using clear, published criteria that reflect   strategic alignment,   business impact,   return on investment,   data sensitivity, model type, autonomy, and regulatory exposure.   Under delegated authority, approve, require corrections on, or deny lower- and medium-risk use cases within defined guardrails.   Escalate high-risk, novel, or regulated use cases with clear recommendations to the AI Risk Governance Council or CISO for final decision.   Ensure   every decision is documented with rationale, conditions, and auditable evidence.   AI Solution Lifecycle Governance   Embed governance into the full AI solution lifecycle — ideation, design, data sourcing, build, validation, deployment, ongoing monitoring, re-validation, and retirement.   Define lifecycle gates and evidence requirements appropriate to each risk tier (e.g., human oversight, bias and fairness testing, security review, privacy review, model documentation,   monitoring   plan).   Ensure retired or replaced AI systems are formally decommissioned, with data and access appropriately closed out.   Oversee   operations of model provisioning   and approval, agent build approval,   agent publishing approval, and approval of models and tools to be used   Company-wide .    Policies, Standards & Guardrails   Own the Company's AI   operating   standards, and operating guardrails, keeping them clear, current, and workable for the business   with oversight from the AI Risk Governance Council.   Coordinate with