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Agentic AI Lead

What you become a part of

This role is accountable for enabling agentic AI to deliver measurable business outcomes at scale — while ensuring it is deployed in a controlled, trusted, and sustainable way. The role starts with defining the right problems: understanding how people actually work, challenging assumptions, and identifying where/if agentic AI can create real value. The focus is not on building technology, but on shaping the right opportunities, enabling responsible use, and evolving the capability into an Agentic AI Centre of Excellence over time.

What to expect

Agentic AI Strategy & Enablement

• Define and lead the enterprise approach to agentic AI capability adoption
• Frame and prioritise the right problems for agentic AI to solve first, challenging initial demand and ensuring focus on high-impact opportunities
• Ensure agentic AI initiatives are aligned to business priorities and operating models
• Establish a clear path from experimentation to scaled deployment

Governance, Oversight & Design Boundaries

• Coordinate Strategy’s role as a single point of oversight for AI across the organisation
• Define decision boundaries and ensure accountability and traceability for agents recommendations and actions
• Work with Legal and BPT to embed and evolve the SAFE Responsible AI framework

Platform, Patterns & Lifecycle Management

• Partner with BPT to establish shared agentic platforms and reusable components
• Implement with BPT agent lifecycle management patterns (design, deployment, monitoring, iteration, retirement)
• Drive reuse over reinvention to reduce duplication and inefficiency

Value Realisation & Business Integration

• Connect agentic AI initiatives directly to business outcomes, not demonstrations or pilots
• Ensure AI experiments feed learnings into the path to adoption: proof value, accuracy, work design, costs, support
• Enable business teams to identify and deploy high-value use cases

Adoption, Enablement & Capability Building

• Build federated capability through to design, deploy, and manage AI agents effectively
• Create clear, sanctioned pathways to reduce “shadow AI” and unmanaged experimentation
• Develop the Agentic AI adoption playbook and lead a cross-functional network of Agentic AI Ambassadors to drive engagement, capability building, and adoption across the organisation.
• Provide enablement (guidance, learning, and support) to project teams to ensure safe and scaled adoption
• Partner closely with P&C to design, implement, and embed new ways of working enabled by agentic AI, including developing and delivering change management and capability-building initiatives.
• Guide teams to rethink workflows and decision-making processes, not just automate existing tasks
• Ensure adoption includes changes in workflows — not just tool deployment

External Partnerships & Thought Leadership

• Leverage external expertise to accelerate capability development
• Bring in leading practices while adapting them to CCEP’s context
• Support the transition toward partial internalisation of capabilities over time

What we expect of you (skills/experience)

• Commercial mindset with the ability to link AI initiatives to meaningful business problems and measurable outcomes
• Strong stakeholder management and influencing skills across senior leaders, with the confidence to challenge assumptions and existing approaches
• Comfortable working in ambiguity and shaping new approaches where no established playbook exists
• Pragmatic problem-solving approach with a bias for action and simplicity 

Experience

• Hands-on experience with agentic AI use cases, even if for personal use
• Experience or background in product management, business analysis, process design, UX, research, or similar disciplines focused on problem definition and user needs
• Ability to translate experimentation or digital pilots into scalable, repeatable solutions
• Experience defining governance, guardrails, or operating models for emerging tech and balance innovation speed with risk, cost, and control
• Proven ability to enable teams (not just build centrally) through clear frameworks and guidance
• Experience designing reusable patterns, standards, or shared capabilities