Work closely with Heads of Maintenance, Engineering Leaders, and Operations teams to understand:
Maintenance strategies and maturity
Preventive vs reactive ratios
Labour utilisation and workforce efficiency
Spare parts management and inventory control
Define and structure AI use cases that address:
Reduction in reactive maintenance
Optimisation of preventive maintenance schedules
Labour efficiency and workforce planning
Spare parts forecasting and cost reduction
Asset lifecycle optimisation
Develop and lead Proof of Concepts (PoCs) that validate:
Operational improvements
Cost savings
Performance uplift
Translate business requirements into clear scope of works for DataMax AI R&D teams
Ensure AI solutions integrate effectively with EAM/CMMS platforms (Maximo preferred) and align with real operational workflows
Build clear ROI models, ensuring every solution delivers measurable impact across:
Maintenance costs
Asset uptime
Labour efficiency
Inventory and working capital
Support clients in adopting solutions that improve their infrastructure, operations, and long-term asset strategy

Strong background in Asset Management, Maintenance, or Engineering leadership
Deep understanding of:
RCM and reliability frameworks
Preventive and predictive maintenance strategies
Workforce and labour optimisation
Spare parts and inventory management
Experience working with EAM/CMMS platforms, ideally IBM Maximo
Ability to translate operational challenges into structured, solution-driven approaches
Commercial awareness and the ability to link technical improvements to cost and performance outcomes

Head of Asset Management – AI Transformation

Key skills