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7 дней назад

Maintenance Expert (Predictive Maintenance)

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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