Head of Asset Management & AI Transformation

About this role

Head of Asset Management & AI Transformation

Remote | Global Role | Multi-Industry

This is not a traditional asset management role

This role is designed for someone who understands that the future of maintenance and asset management is driven by data, reliability engineering, and intelligent systems .

If your experience is rooted in Reliability-Centred Maintenance (RCM), preventive and predictive strategies, labour optimisation, and cost control , and you are interested in applying this knowledge to AI-driven solutions, this is a unique opportunity to operate at the forefront of the industry.

About MaxAccelerate Technology Group

MaxAccelerate Technology Group is a global technology and transformation business focused on helping asset-intensive organisations improve performance, reduce cost, and scale operations through data, systems, and AI .

Through our ecosystem, including DataMax AI , we work with organisations across Facilities Management, Transportation, Pharma, Manufacturing, Energy, and Infrastructure to transform how assets are managed.

Our approach is grounded in real operational understanding:

• Maintenance strategies must be structured, measurable, and optimised
• Systems such as IBM Maximo and other EAM platforms must deliver actionable insight
• AI must be applied in a way that drives tangible outcomes across cost, labour, and asset performance

The Role

We are seeking a Head of Asset Management & AI Transformation to lead the definition and delivery of AI-driven asset management solutions .

The focus of the role is to take deep operational knowledge — including:

• RCM frameworks
• Preventive and condition-based maintenance strategies
• Workforce planning and labour models
• Spare parts, inventory, and asset lifecycle considerations

and translate these into structured AI use cases and scalable solutions .

Key Responsibilities

• 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
• Why This Role Matters
• Most organisations have:
• Maintenance strategies defined on paper
• Systems implemented but underutilised
• Data available but not fully leveraged
• This role exists to bridge that gap.
• You will ensure that:
• Maintenance frameworks such as RCM are not just theoretical, but digitised and optimised
• Preventive strategies are continuously refined based on real performance data
• Labour and cost structures are aligned with actual operational demand
• AI is applied in a way that improves real infrastructure outcomes , not just reporting
• What We Are Looking For
• 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
• The Opportunity
• This role offers the opportunity to work across industries and influence how organisations manage and optimise critical assets.
• You will play a key role in:
• Defining how AI is applied to asset management in real environments
• Delivering measurable improvements in cost, performance, and efficiency
• Shaping solutions that can be scaled across multiple industries
• Apply

If you are interested in moving beyond traditional asset management roles and want to be involved in shaping the next generation of maintenance and asset optimisation, we would welcome a conversation.