Senior Director, Consumer Data Strategy

The Senior Director, Consumer Data Strategy will lead a global capability that ensures consumer data is a strategic asset across Marketing and the broader enterprise. This role is central to our ambition to build marketing systems that are predictive, insightful, and connected to consumer needs. Beyond data collection, this leader will be accountable for translating consumer data into activation, measurement, and sustained business impact at global scale.

• 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-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 behavioral, 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 personalization, and predictive modeling.
• 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.

• 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, modeling, 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 modeling, machine learning enabled activation, and experimentation.
• Demonstrated 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 modeling, and automated decisioning within marketing or data platforms.
• Practical experience with identity resolution strategies, including clean room technologies (e.g., Lakeamp, InfoSum, Habu, AWS Clean Rooms).

• Artificial Intelligence (AI)
• Audience Segmentation
• Consumer Data
• Customer Acquisition Strategy
• Customer Activation
• Data Governance
• Data Literacy
• Data Privacy
• Data Retention
• Digital Ecosystems
• Digital Fluency
• Generative AI

Location: United Kingdom - London

Travel Required: 0% - 25%

Relocation Provided: No