Senior Manager, Content Data and Integrations

Coca-Cola•Atlanta, GA

7h•Onsite

About The Position

The Coca-Cola Company is undergoing a digital transformation, aiming to become a digital-first, data-driven enterprise to foster sustainable growth, accelerate market entry, and create new value streams. This role is crucial in this transformation by ensuring the smooth flow, structure, and governance of digital content across enterprise platforms. The focus is on creating scalable integration frameworks and metadata schema standards to enhance content discovery, reuse, and activation globally. Operating within a product-centric digital ecosystem, this role collaborates with digital product teams, marketing, content operations, and technology stakeholders to build and optimize integrations between Digital Asset Management (DAM) platforms and other systems. By structuring content with robust metadata and enabling platform interoperability, this role contributes to faster market entry, improved personalization, and better data-driven decision-making. The position requires strong technical skills, data governance expertise, and cross-functional collaboration to ensure digital assets are consistently structured, accessible, and actionable across the enterprise, aligning with enterprise architecture and transformation priorities.

Requirements

Bachelor’s degree in Information Technology, Computer Science, Data Management, or a related field.
5+ years of experience in Digital Asset Management, Digital Rights Management, MarTech, system integrations, or data architecture roles within a digital or technology-driven environment.
Proven expertise in designing and implementing system integrations using APIs and middleware solutions, with a preferred focus on integrating Adobe platforms.
Strong experience in metadata modeling, taxonomy design, and schema governance for digital content systems.
Familiarity with Digital Asset Management platforms, content management systems, and related enterprise technologies.
Understanding of data governance principles, including data quality, standardization, and lifecycle management.
Experience working in product-centric or agile environments, collaborating across business and technical teams.
Knowledge of artificial intelligence applications in content tagging, classification, and automation.
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
Excellent communication, stakeholder engagement, and change management skills, 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.
Must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States.

Nice To Haves

Preferred focus on integrating Adobe platforms.

Responsibilities

Design and implement integration strategies that connect Digital Asset Management and Marketing Technology (MarTech) platforms with enterprise systems, enabling seamless flow of content and data across channels and markets.
Develop and maintain scalable 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 a product-centric operating model.
Enable automation of content workflows by leveraging structured 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, content findability, and performance measurement.
Drive adoption of standardized taxonomy and schema practices across global and regional teams.
Identify and resolve integration challenges, ensuring high data quality, system interoperability, and scalability.
Support measurement of content performance and asset usage reporting by enabling structured data capture and integration with analytics platforms.
Continuously evolve integration and schema capabilities by leveraging emerging technologies, including artificial intelligence and machine learning for content classification and tagging.