Senior AI Maintenance Expert

Our client, a leading global organization in the pharmaceutical sector, is looking for a specialist to drive their digital maintenance transformation. The role focuses on establishing advanced capabilities in AI-driven predictive and prescriptive maintenance strategies across international manufacturing and facility sites. This position acts as a global subject matter expert at the intersection of engineering, data science, and asset reliability.

Responsibilities

• Define and deploy global predictive and prescriptive maintenance strategies and governance models.
• Assess asset criticality and failure modes to determine optimal monitoring and analytical approaches.
• Evaluate and implement AI-driven solutions, machine learning models, and digital twin technologies.
• Collaborate with technology teams on industrial data architectures, IoT ecosystems, and connected asset environments.
• Translate condition monitoring and reliability data into actionable maintenance recommendations.
• Integrate predictive analytics and AI-generated insights into existing CMMS/EAM systems and workflows.
  
  

Requirements

• You possess a Master’s degree in Mechanical, Electrical, Industrial, or Data Engineering.
• You bring 8+ years of experience in reliability, maintenance engineering, or industrial analytics.
• You have hands-on expertise in AI-driven predictive maintenance and Machine Learning applications for asset performance/maintenance. This is a non-negotiable element.
• You bring strong knowledge of industrial data architectures, IoT ecosystems, data lakes, and data warehouses.
• You possess proven experience in cGMP and Good Engineering Practices within a regulated environment.
• You have a solid understanding of reliability engineering principles such as FMECA, RCM, and RCA.
• You bring experience with CMMS/EAM platforms and integrating data-driven insights into business processes.
• You're proactive with strong stakeholder management and communication skills to bridge technical and business teams.
• You possess a willingness to travel internationally for technology evaluations and site deployments.
• You are fluent in English.
  
  

Nice to Haves

• Experience with Digital Twin and Asset Performance Management (APM) platforms.
• Relevant professional certifications such as CMRP, CRL, or ISO 18436.
• Experience supervising strategic technology suppliers and defining service quality deliverables.
• Professional knowledge of French.
  
  

Offer

• Start date: January 2027
• Duration: Until the end of 2028
• Work regime: Full-time (80% also considered)
• Location: Braine
• Working model: Hybrid (minimum 3 days onsite)
• Contract: open to both permanent employees and freelancers