Senior Director, Consumer Data Strategy

The Coca-Cola Company

Senior Director leading the evolution of consumer data strategy across multiple markets at Coca-Cola. Shaping data practices and partnerships for enhanced marketing effectiveness.

Posted 4/26/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Define the global vision and roadmap for evolving, governing, activating, and measuring consumer data across channels and markets, with activation ready frameworks.
Build the foundations of a robust consumer data ecosystem that integrates first party, second party, and third party data sources with clear pathways to activation and value realization, while ensuring quality, consistency, and global interoperability.
Partner with cross functional teams—including Digital, Data, Technology, Customer & Commercial, Media, and regional Operating Units—to design global-to-local data flows, integration models, and activation strategies that scale across markets.
Own the connection between data strategy and marketing activation, enabling advanced segmentation, personalization, predictive insights, and experimentation across channels.
Establish measurement frameworks that connect consumer data activation to marketing effectiveness, learning agendas, and commercial outcomes.
Guide the adoption of ethical, privacy forward data practices that build trust with consumers and support long-term value creation.
Identify and prioritize high impact global use cases that unlock competitive advantage.
Translate complex technical concepts into clear strategic guidance for marketing and business leaders, enabling stronger decision making and more effective investments.
Serve as a champion for data literacy across the global marketing community, building capabilities, routines, and best practices to accelerate adoption and impact.
Build and manage strategic data partnerships with external platforms, technology providers, and media partners to expand data capabilities and measurement opportunities.
Monitor emerging data trends, regulatory changes, and technological innovations to ensure Coca-Cola remains ahead of the curve in a rapidly evolving landscape.
Collaborate with insights teams to connect behavioural, attitudinal, and transactional data, enabling an end-to-end view of the consumer and powering deeper human understanding.
Lead the strategic adoption and governance of AI and machine learning capabilities within the consumer data ecosystem, including the deployment of AI for audience intelligence, content personalisation, and predictive modelling.
Own the global data quality and enrichment strategy, establishing standards and scoring models, that ensure consumer profiles are accurate, complete, and fit for activation.
Help develop real-time data capability, enabling live signal ingestion and in-moment decisioning.

Requirements

What you’ll need

Bachelor’s degree in marketing, Data Science, Digital Strategy, Business, Analytics, or a related field; master’s degree preferred.
10+ years of experience leading and evolving consumer data strategy at global scale, within complex, matrixed organizations.
Proven experience leading or shaping large-scale consumer data and marketing data platforms (CDP, Analytics, cloud data platforms, identity and activation stacks)
Demonstrated ownership of end-to-end data architecture design, including ingestion, modelling, interoperability, and activation at global scale.
Deep expertise designing and operating privacy consent and identity aware data systems across multiple regulatory environments.
Demonstrated experience collaborating with external data and media partners, including defining value exchange and measurement.
Experience partnering with technology, digital, analytics, and marketing teams to build data driven capabilities and tools.
Strong measurement orientation, with experience defining effectiveness frameworks, experimentation, and learning loops.
Experience employing advanced data techniques such as segmentation, predictive modelling, machine learning enabled activation, and experimentation.
Demonstrate strong executive communication, transformation leadership, and AI/data fluency in complex, matrixed environments.
Ability to lead transformation initiatives, manage ambiguity, and drive alignment in fast paced, evolving environments.
Demonstrated experience designing and implementing AI/ML-powered data capabilities, including generative AI applications, predictive audience modelling, and automated decisioning within marketing or data platforms.
Practical experience with identity resolution strategies, including clean room technologies (e.g. Liveramp InfoSum, Habu, AWS Clean Rooms).

Benefits

Comp & perks

Competitive Total Rewards: Market leading compensation, comprehensive well being programs, and a flexible, modern work environment.
Career Growth & Development: Gain access to world class development programs, cross functional exposure, and global learning communities.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

consumer data strategydata architecture designdata ingestiondata modelingdata interoperabilitypredictive modelingsegmentationmachine learningdata qualityreal-time data capability

Soft Skills

executive communicationtransformation leadershipdata fluencycollaborationalignmentadaptabilitystrategic guidancetrust buildingdecision makingdata literacy