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.