Head of Asset Management & AI Transformation
Core
Lead the definition and delivery of AI-driven asset management solutions by translating deep operational knowledge of RCM, maintenance strategies, and workforce planning into scalable AI use cases.
Role type
Head of Asset Management & AI Transformation
Builds
AI-driven asset management solutions and Proof of Concepts (PoCs) for cost reduction and operational efficiency
Domain
Asset-intensive industries (Facilities Management, Transportation, Pharma, Manufacturing, Energy, Infrastructure)
Deliverable
production ML models | product features
Required skills
Reliability-Centred Maintenance (RCM), preventive and condition-based maintenance strategies, workforce planning, spare parts management, AI use case definition, ROI modeling, EAM/CMMS platform integration
Preferred skills
Experience with IBM Maximo, data-driven reliability engineering, labour optimisation
Technologies
IBM Maximo, EAM platforms, DataMax AI
Responsibilities
Collaborate with Maintenance and Engineering leaders to assess maintenance maturity and labour efficiency; Define and structure AI use cases for reducing reactive maintenance and optimizing schedules; Develop and lead PoCs to validate operational improvements and cost savings; Translate business requirements into scope of works for R&D teams; Ensure AI solutions integrate with EAM/CMMS platforms; Build clear ROI models for maintenance costs, asset uptime, and inventory.
Seniority
Senior, hands-on IC
