At a Glance
- Tasks: Lead AI-driven asset management solutions and optimise maintenance strategies.
- Company: MaxAccelerate Technology Group, a global tech leader in asset management.
- Benefits: Remote work, competitive salary, and the chance to shape industry standards.
- Other info: Opportunity to influence critical asset optimisation on a global scale.
- Why this job: Transform asset management with AI and make a real impact across industries.
- Qualifications: Strong background in asset management and engineering leadership required.
The predicted salary is between 80000 - 100000 € per year.
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.
Head of Asset Management & AI Transformation employer: MaxAccelerate
MaxAccelerate Technology Group is an exceptional employer that champions innovation and transformation in asset management through AI-driven solutions. With a strong focus on employee growth, we offer a collaborative work culture that encourages creativity and operational excellence across various industries. Our global reach and commitment to leveraging data for tangible outcomes provide unique opportunities for professionals looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Asset Management & AI Transformation
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or attend relevant events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We suggest practising common interview questions and tailoring your answers to highlight your experience in asset management and AI transformation.
✨Tip Number 3
Showcase your expertise! Bring examples of past projects or case studies that demonstrate your skills in RCM and predictive maintenance. We want to see how you’ve made a tangible impact in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of Asset Management & AI Transformation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role. Highlight your experience with Reliability-Centred Maintenance and AI-driven solutions. We want to see how your background aligns with our focus on data and intelligent systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about asset management and AI transformation. Share specific examples of how you've driven improvements in previous roles, and let us know why you’re excited about this opportunity.
Showcase Your Technical Skills:Don’t forget to mention your experience with EAM/CMMS platforms like IBM Maximo. We’re looking for someone who can bridge the gap between operational challenges and AI solutions, so make sure to highlight any relevant technical skills or projects.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at MaxAccelerate
✨Know Your Stuff
Make sure you brush up on your knowledge of Reliability-Centred Maintenance (RCM) and predictive maintenance strategies. Be ready to discuss how these concepts can be applied in AI-driven solutions, as this role is all about translating operational challenges into actionable insights.
✨Showcase Your Experience
Prepare specific examples from your past roles where you've successfully implemented asset management strategies or optimised maintenance processes. Highlight any experience with EAM/CMMS platforms like IBM Maximo, as this will demonstrate your technical expertise and relevance to the role.
✨Understand the Business Impact
Be ready to discuss how your technical improvements can lead to cost savings and performance uplift. Think about ROI models and how you can link your strategies to tangible outcomes in maintenance costs, asset uptime, and labour efficiency.
✨Ask Insightful Questions
Prepare thoughtful questions that show your understanding of the industry and the company's goals. Inquire about their current maintenance strategies, how they leverage data, and what challenges they face in implementing AI solutions. This will not only demonstrate your interest but also your strategic thinking.
