Teams at Medline Industries

Owns end-to-end outbound order flow in a distribution center, coordinating wave release, allocation, picking, processing, and shipping. Resolves complex workflow constraints, analyzes operational data, develops dashboards and improvement initiatives, and partners cross-functionally to improve service, quality, cost, safety, and people metrics. Serves as a subject matter expert for SAP and Catalyst order-flow processes, provides training and guidance, and leads operational problem solving with minimal supervision.

Leads the engineering organization responsible for enterprise data and AI platforms. Owns platform strategy, architecture, engineering standards, MLOps, production AI, reliability, security, cost efficiency, SLAs, monitoring, and incident management. Builds and scales global engineering teams while enabling self-service development and faster production deployment of data products, machine learning, generative AI, and agentic applications.

Expedites and coordinates the resolution of problem tickets, helping ensure issues are tracked, prioritized, and addressed efficiently. The provided description contains no detailed responsibilities or qualification requirements beyond general company benefits and equal employment information.