SAP EWM Consultant

MACHINE LEARNING TECHNOLOGIES LLC; Mickleton (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Mickleton, NJ, seeks a seasoned SAP EWM Consultant with deep expertise in Decentralized Warehouse Management to lead solution design, implementation and advisory for large-scale warehouse operations.

The role demands strong functional knowledge, integration experience, and stakeholder management to drive transformation initiatives across global warehouses and SAP S/4HANA integrations.

Qualifications

• 12–15 years of SAP experience with 8+ years in SAP EWM (Decentralized).
• Strong inbound/outbound, cross-docking, labor management, slotting and wave management.
• Hands‑on with RF frameworks, MFS, and automation integration.
• Proven large-scale deployments and SAP EWM integrations with non‑SAP ERP.

Responsibilities

• Architect and implement decentralized SAP EWM solutions aligned with business needs.
• Optimize inbound/outbound processes and ensure compliance and efficiency.
• Oversee integrations with SAP S/4HANA, ERP and third-party logistics systems.
• Engage stakeholders, lead onsite-offshore delivery, and mentor juniors.

Skills

SAP EWM expert (Decentralized)

Warehouse processes know-how

RF Frameworks

Material Flow Systems (MFS)

Automation integration

Stakeholder management

Leadership

S/4HANA integration

Tools

RF Frameworks

Material Flow Systems (MFS)

Automation Integration

SAP EWM (Decentralized)

Job description

Job Description

Job Overview

• Job ID: J53362
• Job Title: SAP EWM Consultant
• Location: Mickleton, NJ
• Duration: 11 Months + Extension
• Domain Exposure: Education
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Role Overview

We are seeking a seasoned SAP EWM Consultant with deep expertise in Decentralized Warehouse Management to lead solution design, implementation, and advisory for large-scale warehouse operations. The role demands strong functional knowledge, integration experience, and stakeholder management skills to drive transformation initiatives.

Required Skills & Experience

• 12–15 years of SAP experience, with at least 8+ years having done two projects in SAP EWM (Decentralized).
• Strong expertise in Warehouse Processes: inbound, outbound, cross-docking, labor management, slotting, Rearrangement, Wave management, VAS. Replenishment etc
• Hands‑on experience with RF Frameworks, Material Flow Systems (MFS), and Automation Integration.
• Proven track record in large‑scale deployments across global warehouses.
• Experience in integrating SAP EWM solutions with non‑SAP ERP systems
• Expertise in SAP transportation management integration with EWM
• Exposure to Warehouse Billing functionalities
• Excellent communication and leadership skills to manage onsite‑offshore delivery models.

Key Responsibilities

• Solution Design: Architect and implement decentralized SAP EWM solutions aligned with business needs.
• Process Optimization: Streamline inbound, outbound, and internal warehouse processes, ensuring compliance and efficiency.
• Integration Management: Oversee integration with SAP S/4HANA, ERP, and third‑party logistics systems.
• Stakeholder Engagement: Collaborate with business leaders, IT teams, and warehouse managers to translate requirements into scalable solutions.
• Project Leadership: Lead end‑to‑end implementations, upgrades, and rollouts across multiple sites.
• Training & Support: Mentor junior consultants, conduct workshops, and provide post‑go‑live support.

Preferred Qualifications

• Exposure to SAP S/4HANA Embedded and Decentralized EWM.
• Experience in Pharma, Retail, or Manufacturing industries.
• Certification in SAP EWM

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.