Global Reliability Director, Predictive Maintenance & AI

Lonza

Oberwallis

Vor Ort

Vertraulich

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Relocation support for eligible candid
Lifestyle, family and leisure benefits
Competitive compensation

Zusammenfassung

Lonza in Visp seeks an Associate Director, GE Life Cycle Engineering to lead the global condition monitoring and predictive maintenance program. You will define technical standards, ensure diagnostic quality, and drive a closed-loop process from detection to resolution across sites.

You will champion AI-enabled maintenance, integrate SAP and asset data, and coordinate with IT/OT to scale reliable strategies while guiding site teams and stakeholders.

Qualifikationen

  • Bachelor or Master degree in Mechanical, Electrical, Reliability Engineering, Asset or Data Analytic or related field is required.
  • Advanced qualification in a primary condition monitoring discipline or equivalent diagnostic competence.
  • Certification in vibration, thermography, lubrication or related areas preferred.

Aufgaben

  • Define the global condition monitoring strategy, roadmap and deployment priorities.
  • Own standards for vibration, infrared, oil analysis and lubrication reliability.
  • Lead diagnostics and support root cause analysis and recurring-failure elimination.
  • Pilot AI-enabled maintenance solutions with IT/OT and digital specialists.
  • Define workflows from diagnosis to documented resolution with risk-based response times.
  • Coordinate cross-site deployment and vendor activities for reliability improvements.

Kenntnisse

Condition Monitoring
Predictive Maintenance
AI-enabled maintenance
Data Analysis
Cross-site Leadership
Vibration Analysis

Ausbildung

Bachelor or Master in Mechanical, Electrical, Reliability Engineering, Asset or Data Analytics

Tools

SAP
CMMS / Asset Management Systems
Infrared Thermography Tools

Jobbeschreibung

Lonza in Visp seeks an Associate Director, GE Life Cycle Engineering to lead the global condition monitoring and predictive maintenance program. You will define technical standards, ensure diagnostic quality, and drive a closed-loop process from detection to resolution across sites.

You will champion AI-enabled maintenance, integrate SAP and asset data, and coordinate with IT/OT to scale reliable strategies while guiding site teams and stakeholders.

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