> Markdown version of [/jobs/ext/3836133-senior-associate-sap-supply-chain-extended-warehouse-management-ewm](https://www.wearedevelopers.com/jobs/ext/3836133-senior-associate-sap-supply-chain-extended-warehouse-management-ewm). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Associate, SAP Supply Chain - Extended Warehouse Management (EWM) - **Company:** Kpmg LLP - **Location:** Morristown, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Business Process Modeling, System Configuration, Data Migration, SAP (Applications), SAP Supply Chain Management (SCM), SAP Sales and Distribution, Test Scripts, SAP S/4HANA, Sap Extended Warehouse Management, SAP TM, Golang - **Published:** October 19, 2026 - **Apply:** https://diversityjobs.com/career/18680341/Senior-Associate-Sap-Supply-Chain-Extended-Warehouse-Management-Ewm-New-Jersey-Morristown ## About the Role * Minimum three years of hands-on consulting experience specializing in SAP EWM, with a minimum of 2 full life-cycle SAP EWM implementations. Experience with SAP S/4HANA EWM deployments, including Embedded and/or Decentralized models. Exposure to warehouse automation, including conveyors, AS/RS, robotics, and SAP MFS is preferred. * Deep configuration knowledge of SAP EWM (Decentralized and Embedded within S/4HANA). Experience integrating SAP EWM with SAP Transportation Management (TM) preferred. * Strong understanding of warehouse management principles, supply chain logistics, and distribution center operations. * Bachelor's degree required. * Excellent verbal and written communication skills with the ability to translate technical concepts to non-technical business stakeholders. * Ability to travel as needed ## Description * Lead and support end-to-end SAP EWM implementations, including requirements gathering, business process design, system configuration, testing, training, and go-live/post-go-live support. * Configure and optimize complex SAP EWM processes, including inbound/outbound processing, internal warehouse movements, physical inventory, wave and task management, cross-docking, labor management (where applicable), and the RF framework. * Conduct client workshops and design sessions to understand current-state warehouse operations, identify gaps, and recommend fit-to-standard SAP EWM solutions aligned with leading practices. * Ensure robust integration between SAP EWM and other core SAP modules (e.g., MM, SD, PP, TM) as well as third-party automation/material handling equipment (MFS). * Develop and execute comprehensive test scripts (unit, integration, and user acceptance testing). Provide post-go-live hyper-care and resolve system defects efficiently. Support data migration, cutover planning, and go-live readiness activities for EWM deployments. * Collaborate closely with functional, technical, and offshore delivery teams to ensure high-quality, on-time delivery. Guide and mentor junior consultants or client project team members on SAP EWM best practices and standard functionalities. * Applyan AI-first, value driven mindset to identify, evaluate, and responsibly applyAI-enabled solutions that can enhance client outcomes, business performance,and operational effectiveness. Leverage foundational AI concepts whileupholding KPMG Trusted AI principles to drive ethical, secure, andcompliant adoption across business processes and solutions. * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment