Senior Director, AI Operational Governance

About this role

Job Description 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.  

Key Responsibilities  

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 Legal, Privacy, Cyber Risk   Management , Data & AI, and Ethics & Compliance so guardrails reflect legal, regulatory, ethical, security, and business realities.  

• Communicate   requirements   and guardrails to the Company through clear guidance, training, and self-service tooling that helps business teams do the right thing by default.  

Cross-Functional Partnership & Council Engagement  

• Serve as a working member of the AI Risk Governance Council (Chair: CISO; Vice-Chair: Senior   Director   Cyber Risk Management ), bringing forward operational insight, decision papers, and escalations.  

• Partner day-to-day with Legal, Privacy, the Data & AI organization, Ethics & Compliance, Internal Audit, and Cyber leadership to ensure a single, coherent enterprise governance experience.  

• Build durable relationships with Operating Unit   & functional   leaders and Bottling System partners so governance is understood, respected, and used.  

• Champion consensus-building across functions with different priorities and operating models.  

Regulatory & Standards Alignment  

• Ensure the operating program aligns to leading standards — including NIST AI Risk Management Framework and ISO/IEC 42001 — and to the global body of AI regulation, including the EU AI Act, Chinese AI rules, U.S. state AI laws, and emerging frameworks in other Coca-Cola markets.  

• Work with the Senior   Director   Cyber Risk Management   and Legal counsel to translate regulatory obligations into practical governance requirements.  

• Adjust the operating program as regulations evolve, so the Company stays ahead rather than reacting to change.  

AI Inventory, Reporting & Assurance  

• Maintain   an accurate , enterprise-wide inventory of AI systems,   their risk   tiers, owners, decisions, and lifecycle status.  

• Produce clear, executive-framed reporting to the CISO,   Cyber Risk Management,   the Council, and senior management on AI   operational   governance posture, throughput, risk trends, and material

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