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Eli Lilly UK is seeking an Associate Director of Engineering with extensive experience in Computer Maintenance Management Systems (CMMS), particularly with the Maximo platform, to lead maintenance process optimization within pharmaceutical operations. The ideal candidate will have a strong background in analytics, regulatory compliance, and global multi-site operations, as well as proficiency in tools like Tableau and SQL.
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Job Summary
The role involves leading the consolidation of multiple Maximo instances into a unified global platform to enhance maintenance efficiency.
Candidates must ensure strict adherence to ALCOA+ data integrity standards and GMP/GLP regulatory compliance within pharmaceutical operations.
The position offers a competitive salary range of $117,000 - $171,600 along with comprehensive benefits including 401(k) and wellness programs.
Matching Summary
Match Score: 75
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Eli Lilly UK is seeking an Associate Director of Engineering with extensive experience in Computer Maintenance Management Systems (CMMS), particularly with the Maximo platform, to lead maintenance process optimization within pharmaceutical operations. The ideal candidate will have a strong background in analytics, regulatory compliance, and global multi-site operations, as well as proficiency in tools like Tableau and SQL.
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Salary
Base: $117,000 - $171,600; Bonus: Company bonus eligible based on performance; Benefits: 401(k), pension, medical, dental, vision, vacation, well-being programs
Skills & Requirements
Must-have
Maximo/CMMS consolidation experience
Pharmaceutical GMP/cGMP manufacturing environment
Global multi-site operations support
Tableau Power BI SQL analytics expertise
Condition-based maintenance implementation
Nice-to-have
Lean program continuous improvement initiatives
Knowledge sharing and training capabilities
Root cause analysis troubleshooting skills
Collaborative partnership building
Additional language fluency beyond English
Key Requirements
Bachelor's Degree required
10 years relevant experience minimum
Experience with large-scale Maximo implementations