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Manhattan Active WMS (MAWM) Consultant Remote Contract

Remote · USA Full-time New today

Role: Manhattan Active WMS (MAWM) Consultant Location: Remote (OH, USA) Type: Long-Term Contract Minimum Qualifications & Experience:

  • Overall IT Experience: 9-13+ Years
  • 5+ years of hands-on experience with Manhattan Active WMS (MAWM).
  • Proven track record in end-to-end WMS implementations, particularly in large-scale or multi-site environments.
  • Strong domain expertise in supply chain, with in-depth knowledge of distribution operations and 3PL logistics.
  • Deep understanding of Manhattan solution configuration, implementation, and troubleshooting.
  • Experience with Labor Management Systems (LMS) and Warehouse Control/Execution Systems (WCS/WES).
  • Ability to analyze, design, and recommend custom solutions to address complex client issues.
  • Proficient in Java and JavaScript; experience with additional programming languages is a plus.
  • Proficiency in working with both relational and NoSQL databases.
  • Strong grasp of RESTful web services and experience in multi-layered application development.
  • Experience with distributed systems and message-based architecture.
  • Familiarity with open-source technologies and data modeling techniques.
  • Strong knowledge of interface mapping with both upstream and downstream systems.
  • Proficient in SQL and scripting languages such as Python or Shell for automation and data processing.
  • Hands-on experience in cloud-based WMS environments and SaaS deployment models.
  • Working knowledge of Manhattan Integration Framework (MIF) and REST APIs for system integrations.
  • Familiar with Agile/Scrum methodologies; experience using Jira or similar project tracking tools.
  • Experience with Oracle systems, especially in the context of data integration and mapping.
  • Comprehensive understanding of warehouse operations: inbound, outbound, inventory management, labor, and slotting.
  • Awareness of supply chain best practices and continuous improvement methodologies such as Lean or Six Sigma (preferred).

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