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This next phase moves us from an analog world to a fully digitized one, powered by a digital growth engine that embeds data, technology, and AI into our most critical business domains. Success willrequiremore than technology implementation, it demands a strategic transformation of core capabilities, adomainbased,productcentricoperating model, and a cultural shift toward experimentation, data and technology fluency, and seamless partnership between business and digital teams.

Role Overview

TheSenior Manager, Content Data and Integrationsplays a critical role in enablingCocaCola'sdigital transformationby ensuring the seamless flow, structure, and governance of digital content across enterprise platforms. This role focuses on designing scalable integration frameworks and metadata schema standards that power efficient content discovery, reuse, and activation across global markets.

Operating within aproductcentricdigital ecosystem, this role partners with digital product teams, marketing, content operations, and technology stakeholders to build andoptimizeintegrations between Digital Asset Management (DAM) platforms andupstream anddownstream systems. By structuring content through robust metadata models and enabling interoperability across platforms, this role directly contributes to improved speed to market, enhanced personalization, and strongerdatadrivendecision making.

This position requires strong technical acumen, data governanceexpertise, andcrossfunctionalcollaboration skills to ensure digital assets are consistently structured, accessible, and actionable across the enterprise. The role will help unlock the value ofCocaCola'sContent Supply Chainthrough scalable,standardsbasedsolutions aligned with enterprise architecture and transformation priorities.

What You will do for us

• Design and implement integration strategies that connectDigitalAssetManagementand Marketing Technology (MarTech)platformswith enterprise systems, enablingseamlessflow ofcontentand dataacrosschannels and markets

• Develop andmaintainscalable metadata schema frameworks to ensure consistent tagging, classification, and discoverability of digital assets

• Partner with product and engineering teams to embed integration and schema capabilities into digital products, supporting aproductcentricoperating model

• Enable automation of content workflows byleveragingstructured metadata and integration capabilities to reduce manual effort and improve efficiency

• Align integration and schema solutions with enterprise data architecture, governance standards, and digital transformation priorities

• Collaborate with marketing and content teams to ensure metadata structures support personalization, localization,contentfindabilityand performance measurement

• Drive adoption of standardized taxonomy and schema practices across global and regional teams

• Identifyand resolve integration challenges, ensuring high data quality, system interoperability, and scalability

• Support measurement of content performanceand asset usage reportingby enabling structured data capture and integration with analytics platforms

• Continuously evolve integration and schema capabilities byleveragingemerging technologies, including artificial intelligence and machine learning for contentclassificationand tagging

Requirements and Qualifications

• Bachelor's degree in Information Technology, Computer Science, Data Management, or a related field

• 5+ years of experience inDigitalAssetManagement,Digital Rights Management,MarTech,system integrations, or data architecture roles within a digital ortechnologydrivenenvironment

• Provenexpertisein designing and implementing system integrations using APIs and middleware solutions,witha preferredfocus onintegratingAdobe platforms

• Strong experience in metadata modeling, taxonomy design, and schema governance for digital content systems

• Familiarity withDigitalAssetManagementplatforms, content management systems, and related enterprise technologies

• Understanding of data governance principles, including data quality, standardization, and lifecycle management

• Experience working inproductcentricor agile environments, collaborating across business and technical teams

• Knowledge of artificial intelligence applications in content tagging, classification, and automation

• Strong analytical andproblemsolvingskills, with the ability to translate business requirements into technical solutions

• Excellentcommunication,stakeholderengagementand change managementskills, with the ability to influence adoption of standards and best practices

• Commitment to continuous improvement and staying current with emerging trends in digital, data, and integration technologies