7 дней назад
Maintenance Expert (Predictive Maintenance)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Maintenance Expert (Predictive Maintenance): Defining and deploying predictive-maintenance strategies, standards, technologies, and asset-health analytics for regulated pharmaceutical operations with an accent on condition monitoring, reliability engineering, and industrial data integration. Focus on designing scalable predictive-maintenance systems, evaluating AI and machine-learning solutions, integrating findings with CMMS/EAM workflows, and coordinating cross-functional stakeholders across sites.
Location: Brussels, Belgium; hybrid work with a minimum of 3 days per week on site
Company
Engineering organization supporting predictive-maintenance projects for a pharmaceutical-sector client.
What you will do
- Define and govern the global predictive-maintenance strategy, roadmap, playbook, standards, and operating model.
- Develop risk-based methods for asset prioritization and selection of predictive techniques, including vibration analysis, ultrasound, thermography, oil analysis, and electrical condition monitoring.
- Evaluate and lead proofs of concept for AI, machine learning, Asset Performance Management, digital-twin, IoT, and advanced analytics solutions.
- Integrate asset-health insights with historians, CMMS/EAM, APM, data warehouses, maintenance plans, RCM/FMECA outputs, and continuous-improvement processes.
- Conduct complex diagnostics, develop value cases and KPIs, and translate reliability data into technical recommendations and risk-based actions.
- Coordinate global practitioner networks, suppliers, training, technical documentation, and stakeholder engagement across international sites.
Requirements
- At least 8 years of relevant experience in reliability, maintenance engineering, condition monitoring, asset management, or industrial analytics.
- Hands-on experience designing, implementing, or operating predictive- and condition-based maintenance solutions in multi-site or regulated industrial environments.
- Advanced knowledge of reliability engineering, failure mechanisms, asset criticality, FMECA, RCM, RCA, and maintenance-strategy optimization.
- Practical experience with data warehouses, IoT and sensor technologies, data acquisition, signal interpretation, diagnostics, asset-health analytics, CMMS/EAM, and APM.
- Knowledge of cGMP, Good Engineering Practices, EHS, cybersecurity, data integrity, governance, and risk-based approaches in regulated environments.
- Excellent command of English, a relevant master’s degree or equivalent qualification, and willingness to travel internationally when required.
Nice to have
- French or another language used across the organization’s sites.
- Experience with maintenance-organization design, coaching, communities of practice, or capability building.
- Experience with Reliability by Design, Asset Ready for Maintenance, digital twins, advanced APM, machine learning, or strategic technology suppliers.
- Certifications such as CMRP, CRL, vibration analysis, thermography, ultrasound, lubrication analysis, IAM, Lean Six Sigma, or data analytics.
Culture & Benefits
- Hybrid working model with at least three days per week on site.
- Full-time availability preferred; a four-day-per-week arrangement may be considered.
- Approximately half of the role focuses on hands-on technical delivery and half on stakeholder engagement, reporting, and presentations.
- Work with international, cross-functional, and multicultural stakeholders with a high level of autonomy.
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