Maximo For Transportation SME

MaxAccelerate

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France remote Until 8/21/2026 5+ years exp First posted March 18, 2026 Last posted March 18, 2026
Job description

Job Title: Maximo for Transportation SME

Location: GCC Region (Saudi Arabia & Dubai) — Remote, Hybrid, or Onsite Options Available
Company: MaxAccelerate Technology Group
Contract Type: Contract — Full-time or Part-time
Relocation Option: Dubai, UAE (Tax-free living and business-friendly infrastructure)
Positions: Multiple openings available

About MaxAccelerate

MaxAccelerate Technology Group is a global EAM and AI transformation company specializing in IBM Maximo, MAS 8/9 upgrades, and industry accelerators.
We deliver cutting-edge asset management solutions for some of the world’s most advanced organizations across transportation, energy, and manufacturing sectors.

As part of our regional expansion, we’re launching a flagship Maximo for Transportation Program in the GCC, covering Saudi Arabia and Dubai — and we’re hiring multiple specialists to join this exciting project.

Role Overview

We are seeking experienced Maximo for Transportation Subject Matter Experts (SMEs) to join an ongoing Maximo for Transportation transformation program.
This role involves working across functional and technical streams of a multi-country implementation, leveraging IBM MAS 8/9.1, Azure, and AWS environments.

Candidates can be based remotely, with periodic travel to Saudi Arabia or Dubai if required.

Requirements

Key Responsibilities

  • Lead and provide expert input across all Maximo for Transportation functional modules.
  • Drive configuration, setup, and optimization activities for Transportation operations.
  • Support MAS 8/9.1 upgrades and integration with enterprise systems.
  • Collaborate with cloud/infrastructure teams on Azure or AWS deployment models.
  • Advise clients on process design, testing, and go-live readiness.
  • Mentor client teams and coordinate across project phases.

Required Expertise

Core Maximo for Transportation Modules:

  • Asset Configuration Management (ACM)
  • Fleet & Vehicle Management
  • Work Management
  • Maintenance Planning & Scheduling
  • Preventive & Corrective Maintenance
  • Fuel & Driver Management
  • Inventory & Materials Management
  • Purchasing & Procurement
  • Warranty & Contract Management
  • Labor, Crew, and Resource Management

Experience & Skills

  • 5+ years of hands-on IBM Maximo experience.
  • 3+ years focused specifically on Maximo for Transportation.
  • Solid experience in Configuration, Setup, and Functional Design.
  • Experience in MAS 8.x / MAS 9.1 environments (preferred).
  • Familiarity with Azure or AWS cloud platforms.
  • Strong understanding of transportation asset management processes.
  • Excellent communication, documentation, and stakeholder management skills.
  • Comfortable working with remote and cross-border teams.

Benefits

Why Join MaxAccelerate

  • Be part of a leading global EAM & MAS practice with world-class clients.
  • Multiple openings across functional and SME roles.
  • Flexible working options: Remote, hybrid, or on-site in the GCC.
  • Tax-free relocation opportunity to the UAE.
  • Work on one of the region’s largest Maximo for Transportation programs.
  • Collaborate with IBM-certified experts in a dynamic, innovative environment.
About this role

Summary

Lead and optimize Maximo for transportation modules, support upgrades, and collaborate on cloud deployment.

Job title

Maximo For Transportation SME

Experience level

5+ years

Minimum experience

5+ years exp

Industry

software

Location requirements

remote work with periodic travel to Saudi Arabia or Dubai

Salary

Not specified

Management role

No

Skills & keywords

Required skills

Maximoasset configuration managementfleet managementwork managementMAS 8/9.1AzureAWStransportation processes

Preferred skills

None specified

Specializations

Maximotransportationasset managementcloud platformsconfiguration
Locations

Structured locations inferred from the posting.

France

Remote Country

Saudi Arabia

Hybrid Country

Unknown location

Hybrid