At a Glance
- Tasks: Lead the charge in deploying agentic AI for real business impact and innovation.
- Company: Join Coca-Cola Europacific Partners, a global leader in consumer goods.
- Benefits: Competitive salary, diverse culture, and opportunities for personal growth.
- Other info: Be part of a diverse team that values unique perspectives and fosters growth.
- Why this job: Shape the future of AI while making a tangible difference in a dynamic environment.
- Qualifications: Experience with AI use cases and strong problem-solving skills required.
The predicted salary is between 80000 - 100000 £ per year.
- 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
We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks.
We are a global business and one of the leading consumer goods companies in the world.
We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas.
This helps us to delight the 600 million people who enjoy our drinks every day.
From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives.
We recognise we’ve got some way to go, but we’ll get there with the support of our people.
It’s them who drive our future growth.
To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to speak to an insider
We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions.
If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.
AI Agentic Lead employer: Coca-Cola Europacific Partners
Coca-Cola Europacific Partners is an exceptional employer, offering a dynamic work environment in Sidcup where you can thrive and grow. With a strong focus on personal development, employees benefit from comprehensive training programs, a supportive culture that promotes learning, and numerous career advancement opportunities within the expansive CCEP network. Join a diverse team dedicated to innovation and excellence, and be part of a company that values your unique contributions and empowers you to make a meaningful impact.
Contact Details:
Coca-Cola Europacific Partners Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Agentic Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Coca-Cola Europacific Partners!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Agentic Lead at Coca-Cola Europacific Partners.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Coca-Cola Europacific Partners.
✨Apply Directly through Our Website
When you find a suitable opening like AI Agentic Lead at Coca-Cola Europacific Partners, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Agentic Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Coca-Cola Europacific Partners, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Coca-Cola Europacific Partners. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Coca-Cola Europacific Partners
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Coca-Cola Europacific Partners!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
