U.S. sugar confectionery manufacturer running an SAP-centered, PLC-automated plant network
Ferrara is a Chicago-based candy maker whose stack reads like a plant floor: Allen-Bradley and Siemens PLCs, Wonderware SCADA, Maximo CMMS, all tied to an SAP core spanning S/4HANA, ECC, IBP, Ariba and PLM. Manufacturing dominates current hiring, and the recurring pain points (uptime, OEE, yield, material waste) point to an operational-excellence push alongside a greenfield site build.
Notable leadership hires: Manufacturing Quality Director
Ferrara is a privately held sugar confectionery manufacturer founded in 1908 and headquartered in Chicago, Illinois. It produces candy brands sold across U.S. households and in more than 60 countries, with sister businesses in Brazil and France. The company operates a network of over 30 locations across North America, South America, Europe and Asia Pacific, covering manufacturing, distribution, sales and R&D. Its specialties include confectionery manufacturing, co-manufacturing and private label production. Ferrara employs between 5,001 and 10,000 people.
Ferrara runs an SAP-heavy enterprise stack (SAP S/4HANA, SAP ECC, SAP IBP, SAP Ariba, SAP PLM) alongside plant automation tools like Allen-Bradley, Siemens, Wonderware, SCADA and Maximo, plus Kronos and Azure.
Yes. Manufacturing is Ferrara's largest hiring area, with mostly senior-level roles in the United States and a Manufacturing Quality Director among leadership openings, though overall hiring velocity is currently minimal.
Ferrara's job posts reference building a new site from the ground up, TPM implementation to improve OEE, automation projects, supply chain performance dashboards, and a global compliance module within SAP PLM.
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Ferrara'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.