Century-old food manufacturer scaling operations and supply chain efficiency
Conagra is a public food manufacturer with 10,000+ employees running a heavily manufacturing-focused hiring push (90 of 174 active roles in production and plant operations). The tech stack reveals deep SAP/Oracle integration (S/4HANA, R/3, Ariba, PeopleSoft) paired with modern data tools (Databricks, Snowflake, Power BI), and active projects centered on predictive maintenance, food safety automation, and packaging optimization—signals of operational modernization. Pain-point clustering (production bottlenecks, compliance, supply continuity, maintenance efficiency) and the adoption of Blue Yonder (supply-chain planning) indicate a company shifting from reactive to data-driven operations.
Notable leadership hires: Quality Team Lead, Creative Director, Art Director
Conagra Brands operates a diversified portfolio of food brands across North America, serving retail and foodservice channels. Headquartered in Chicago and founded in 1919, the company employs over 10,000 people with significant manufacturing footprint in the United States, Mexico, and Canada. Current operational focus spans production efficiency, regulatory compliance (FDA/USDA), supply-chain resilience, and quality assurance across packaged-food and fresh categories. The organization combines legacy enterprise systems (SAP ecosystem, PeopleSoft) with emerging data platforms (Databricks, Snowflake, Palantir) to support planning, maintenance, and quality workflows.
Core ERP: SAP (S/4HANA, R/3, Analytics Cloud), PeopleSoft. Data/BI: Databricks, Snowflake, Power BI, Collibra. Supply-chain: Blue Yonder, SAP Ariba. Manufacturing: CMMS, AutoCAD, SolidWorks. ML: PyTorch.
Chicago, Illinois. The company also operates manufacturing and hiring across the United States, Mexico, and Canada.
Other companies in the same industry, closest in size
Conagra Brands'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.