# Head of Asset Management & AI Transformation

> MaxAccelerate · United Kingdom (Remote) · Full-time · Posted 2026-03-19

**Workplace:** remote

**Department:** www.datamaxai.ai - EAM AI REPORTING

## Description

### **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.

## Apply

[Apply at MaxAccelerate](https://apply.workable.com/max-accelerate/j/04AA979DF3/apply)

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