At a Glance
- Tasks: Lead the strategy for consumer data and AI activation across digital platforms.
- Company: Join a leading global brand with a focus on innovation and consumer engagement.
- Benefits: Competitive salary, performance incentives, and opportunities for professional growth.
- Other info: Work in a collaborative team that values creativity and continuous improvement.
- Why this job: Shape the future of data-driven marketing and make a real impact in a dynamic environment.
- Qualifications: 12+ years in data or digital marketing with strong leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
Overview
The Senior Director, Data is accountable for defining and leading the end-to-end strategy for first party (1PD) consumer data, data products, and AI-enabled activation across the digital landscape. Sitting within the Marketing Data / Tech & Capabilities team, this role provides strategic and people leadership for senior data roles, including Director, Data Products and Senior Manager, Data (Consumer). The role partners closely with Marketing Categories, IMX Media, Technology, Analytics, Legal, and internal and external brand development teams to scale consumer engagement, loyalty, and commercial impact across digital touchpoints. A strong emphasis is placed on AI-enabled ways of working, leveraging advanced analytics, automation, and personalization to drive measurable business outcomes.
Key Responsibilities
- Own and evolve the overarching strategy for collecting, managing, and activating first-party consumer data across the digital ecosystem, aligned with enterprise and marketing objectives such as brand equity, incremental sales, and volume growth.
- Provide strategic leadership for data product and consumer data activation agendas, ensuring clear direction, prioritization, and alignment across teams, roadmaps, and investment areas.
- Lead and develop senior data leaders and teams, setting clear objectives, fostering strong collaboration, and building advanced capabilities across data products, CRM, activation, and AI-enabled marketing.
- Define the vision for AI-enabled consumer engagement, including personalization, predictive analytics, automation, and advanced measurement frameworks, and ensure consistent adoption across markets and brands.
- Oversee the design and optimization of scalable data collection frameworks spanning websites, apps, registrations, surveys, loyalty mechanics, and other digital interactions to ensure high quality, compliant consumer data.
- Guide data enrichment and identity strategies, including the responsible use of third-party data, to strengthen consumer profiles, segmentation, targeting, and media effectiveness.
- Ensure best-in-class orchestration of end-to-end digital CRM, lifecycle marketing, and ecosystem activation, driving consistency, relevance, and performance across consumer journeys.
- Partner cross-functionally with Marketing, Media, Technology, Analytics, and external partners to align data, activation, and technology roadmaps, balancing short-term execution with long-term capability building.
- Champion modern, AI-enabled and test-and-learn ways of working across the Marketing Data / Tech & Capabilities organization, embedding experimentation, continuous optimization, and data-informed decision making.
- Act as the senior point of accountability for data governance, consent, and privacy, partnering with Legal, Privacy, and Compliance teams to ensure GDPR compliance, robust consent management, and ethical data use.
Requirements
- Strong passion for data-driven consumer engagement, AI-enabled marketing, and delivering scalable, privacy-centric consumer experiences.
- Typically 12+ years of experience in data, digital marketing, consumer engagement, or marketing technology roles, with senior leadership experience managing complex teams and portfolios.
- Proven ability to operate at both strategic and executional levels, translating business goals into sustainable data, technology, and activation strategies.
- Demonstrated success leading in complex, cross-functional, and matrixed environments, with excellent stakeholder management, communication, and influence skills.
- Deep understanding of first-party data ecosystems, digital CRM, identity, personalization, and measurement, including hands-on exposure to platforms such as Adobe Experience Platform and Adobe Journey Optimizer (or equivalents).
- Strong executive-level understanding of data analytics, AI, automation, customer segmentation, and targeting methodologies, and their application to drive marketing and commercial performance.
- Track record of building high-performing teams, developing senior talent, and fostering a culture of innovation, accountability, and continuous improvement.
Compensation
- Base Salary: Italy: 97,700 EUR to 142,000 EUR; Poland: 435,000 PLN to 692,000 PLN; Spain: 110,000 EUR to 156,000 EUR
- Annual Incentive Reference Value Percentage: 30% – a market-based competitive value for this role, indicating performance at target.
Skills & Locations
- Location(s): United Kingdom – London
- Travel Required: 00% - 25%
- Relocation Provided: No
Equal Employment Opportunity
This position is open to all qualified applicants; The Coca-Cola Company is an equal opportunity employer.
Senior Director, Data employer: Coca-Cola HBC
The Coca-Cola Company is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. With a strong focus on employee growth, the company provides ample opportunities for professional development and leadership within the marketing data landscape. Located in London, employees benefit from a vibrant city atmosphere while engaging in cutting-edge AI-enabled marketing strategies that drive meaningful consumer engagement and business outcomes.
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We think this is how you could land Senior Director, Data
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We think you need these skills to ace Senior Director, Data
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!
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How to prepare for a job interview at Coca-Cola HBC
✨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!
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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
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✨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.
