Full-Time

Maximo EAM Specialist

MaxAccelerate

MaxAccelerate

No salary listed

London, UK

Hybrid

Hybrid or on-site work depends on project needs.

UK Top Secret Clearance Required

Category
Solution Engineering (1)
Required Skills
ERP
Data Analysis
Requirements
  • Three to ten or more years of hands-on experience with IBM Maximo Enterprise Asset Management.
  • Broad functional knowledge across multiple modules.
  • Active United Kingdom Security Check security clearance is essential.
  • Ability to work with cross-functional stakeholders.
  • Experience in regulated sectors such as utilities, rail, aviation, energy, transport, infrastructure, or government suppliers.
Responsibilities
  • Lead or support configuration, enhancement, and deployment of Maximo or MAS 8/9 systems.
  • Deliver functional design, workflow configuration, and module optimisation.
  • Ensure all solutions meet Security Check-cleared security and governance requirements.
  • Translate business processes into Maximo configurations and clean workflows.
  • Support Enterprise Asset Management transformation across Work Management, Assets, Locations, Preventive Maintenance, Inventory and Procurement, and Job Plans and Classifications.
  • Improve operational efficiency through better process design and system alignment.
  • Support data migration, cleansing, and structure improvements.
  • Assist with integrations between Maximo and enterprise systems, including enterprise resource planning, geographic information systems, mobility, supervisory control and data acquisition, document management, and Internet of Things systems.
  • Support system integration testing, user acceptance testing, and deployment readiness.
  • Produce structured documentation suitable for regulated industries.
  • Ensure all activities comply with Security Check-cleared security frameworks.
Desired Qualifications
  • Experience with MAS 8/9 or MAS 9.1.
  • Exposure to MAS 9.1 artificial intelligence features.
  • Experience with reliability, asset performance management, and predictive maintenance.
  • Knowledge of Cognos, WatsonX, or analytics tools.
  • Experience with ISO 55000, Information Technology Infrastructure Library, or Enterprise Asset Management best practices.
  • Previous involvement in large transformation programmes.

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