Global beverage portfolio operator with 200+ brands across 700,000-person system
Coca-Cola runs a complex, geographically distributed manufacturing and distribution network for 200+ beverage brands sold worldwide. The tech stack is enterprise-heavy (SAP, Workday, Azure, Databricks) with strong BI/analytics coverage, reflecting operational scale and data intensity. Active hiring leans heavily toward marketing (42 roles) and sales (34), with minimal engineering (8) and data (7) positions — indicating a go-to-market acceleration rather than platform or R&D rebuild.
Notable leadership hires: Sparkling Flavors Director, People & Culture Director, Director, Emerging Brands, Policy Communications Director, Marketing Director
The Coca-Cola Company manufactures and distributes beverages globally under brands including Coca-Cola, Sprite, Fanta, smartwater, Dasani, BODYARMOR, Powerade, Costa, and others. The business employs approximately 700,000 people across the company and bottling partner network. Core operations span production, supply chain logistics, sales execution, and brand marketing across multiple geographies. Current priorities include plant performance optimization, supply chain resilience, out-of-stock reduction, and omnichannel brand experiences.
Primary systems include SAP (ERP, S/4HANA, Ariba, IBP), Workday (HR), Azure (Synapse, Data Lake, Data Factory), Databricks, Power BI, Tableau, Looker, and Jira. Manufacturing uses HPLC; marketing leverages Canva and Google Analytics.
Key priorities include improving plant performance, ensuring supply chain continuity, reducing out-of-stocks, optimizing operational expense efficiency, and balancing global standardization with local market relevance.
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The Coca-Cola Company's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.