Senior Director, Consumer Data Strategy

The Coca-Cola Company•Atlanta, GA

19h•Remote

About The Position

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. This leader will define the vision and roadmap for how we strategically evolve, collect, structure, govern, activate, and measure consumer data across all channels and markets. They will collaborate closely across multiple internal stakeholders and with external data partners to ensure our ecosystem fuels meaningful human understanding, more precise audience engagement, and stronger marketing performance. We are seeking a strategic, inclusive, and commercially minded leader with deep expertise in global data strategy leadership, activation frameworks, and measurement. The ideal candidate will combine analytical rigor with creativity, bringing an enterprise mindset and the ability to translate complex data systems into clear, actionable decision frameworks. This is a highly visible global role that will shape the future of how The Coca-Cola Company leverages consumer data to power brand growth, innovation, and experience design. The future of consumer data strategy is being fundamentally reshaped by the convergence of artificial intelligence and rising consumer expectations around trust and transparency. As AI moves from an experimental capability to a core operational layer, the role of data strategy evolves from collection and activation into a discipline of continuous intelligence. This future will enable brands to anticipate consumer needs, orchestrate personalised experiences at scale, and generate predictive insight with speed and precision. The role will help shape the future, built through meaningful exchanges and activated through intelligent systems that are transparent and interoperable.

Requirements

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)

Nice To Haves

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
Influencing

Responsibilities

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, privacyf orward 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 developed real-time data capability, enabling live signal ingestion and in-moment decisioning.