Senior Manager, Global Marketing Communications and End-to-End Experiences Intelligence

Location(s):

United States of America

City/Cities:

Atlanta

Travel Required:

00% - 25%

Relocation Provided:

No

Job Posting End Date:

July 4, 2025

Shift:

Job Description Summary:

The Coca-Cola Company has been on a journey to build a networked global organization across more than 200 countries, combining the power of scale and deep local knowledge to drive sustainable growth. A critical component of this networked organization is Enterprise Services in addition to the Center Domains & Operating Units. Enterprise Services acts as the backbone of our operating structure by providing a network of enterprise-wide scaled solutions and services.

This role sits within the Marketing, CCL & PACS Intelligence (MCPI) Services team, which is a service line embedded in the broader Enterprise Services structure. As part of this team, we are transforming its approach and capabilities as it relates to global Marketing Communications Insights and Measurement. We are investing in our marketing intelligence discipline to be more consumer centric and data-savvy, and to deliver intelligence that will enable distinctive, competitively advantaged marketing experiences and consumer communications campaigns. Integrated measurement, end-to-end brand campaign insights, and value-based partnership delivery are at the heart of this transformation. 

The Senior Manager, Global Marketing Communications and End-to-End Experiences Intelligence will work across the market research, marketing data, and media/advertising disciples to develop, build, and implement next-generation brand experience/campaign diagnostics for advertising, consumer experiences, and assets/sponsorships. The position works in close cooperation with several business stakeholders, including Human Insights, IMX/Connections, Global Categories, Operating Unit Marketing associates, and Global support functions such as Enterprise Services and Platform Services. Additionally, this person will assess, acquire, manage, and integrate communications-related data sources from a wide variety of sources; lead the preparation of best practices and key learnings on media/comms investment and message quality; and build/manage our most important advertising/communications insights measurement systems to drive impactful decision making. While it may not have direct reports, the position holds significant influence through matrixed and project-based leadership. This position will be a key member of the Marketing Communications & Marketing Experiences Intelligence team within the Global Enterprise Services organization’s Marketing, CCL, PACS Intelligence Services team (MCPI).

What You’ll Do for Us: 

• Serve as marketing analytics subject matter expert for Campaign/Media Research Protocols; ensure statistical rigor, sound sampling logic, model validation and MLOps best practices are applied to uphold our data integrity and deliver compelling and trustworthy insights to senior stakeholders.

• Establish a standardized, interoperable data foundation; advance the adoption of TCCC´s defined taxonomy and tagging protocols, develop and deploy feature store schemas in support of one source of truth of metrics across brands, regions and timeframes. Automate ingestion and quality checks of raw and first party datasets.

• Manage external data partnerships; by identifying new technologies for evaluation, negotiating contracts with vendors, establishing service levels, and integrating multiple data sources into one cohesive environment with proper Data Governance.

• Design, develop, and deploy predictive analytics products; uplift/business impact models, media mix modeling, causal inference frameworks, LLM-powered tools, to drive campaign effectiveness through optimization.

• Enable evidence-based decisions; by creating automated recommendation engines and scenario planning tools that improve the efficiency, impact, and sustainability of media and experience investments.

• Provide advanced analytics for prioritized Categories or Operating Units; interpret complex data sets and provide clear, actionable recommendations that drives measurable ROI and business impact.

• Document and scale data science best practices; sharing expertise on model design and feature engineering, prompt optimization, causal inference, etc., to drive adoption across brands, categories, and markets

• Lead cross-functional and external teams of data engineers, analysts, researchers, and agency partners to build, deploy, and scale analytics models, pipelines, and insight solutions.

• Foster a cult