Senior Maintenance Work Management Engineer

Careers that Change Lives The Enterprise Maintenance Excellence (EMEx) function is part of the Operations Innovation (OI) Group and focuses on optimising the full equipment lifecycle - from development through to decommissioning - through standardised work and engineering excellence. As part of this, EMEx is deploying a global Computerised Asset Management System (CAMS) and standardised Work Management Process to enable consistent maintenance practices, improve data quality, and support data-driven decision-making across the enterprise. We are seeking a Senior Maintenance Work Management Engineer to support global CMMS deployment. This role will act as a senior maintenance process and system Subject Matter Expert (SME), working with sites to understand current maintenance practices, support adoption of the future-state model, and enable sustainable process and system adoption post go-live. At this company, we value what makes you unique. Be part of a company that thinks differently to solve problems, make progress, and deliver meaningful innovations. A Day in the Life (Global CMMS Deployment)

Support Site Transitions:

Provide expertise to manufacturing sites transitioning from legacy CMMS systems to the Enterprise CAMS platform, supporting adoption of standardised maintenance work management processes.

Current-State Discovery:

Engage with site teams to assess existing maintenance practices, including work identification, planning, scheduling, execution, and close-out, identifying gaps to the future-state model.

Future-State Enablement:

Support sites in understanding the global maintenance work management process, including changes to roles, responsibilities, and expected behaviours across maintenance teams.

CMMS SME

Support:

Confidently navigate and demonstrate the CMMS to support deployment activities, translating system functionality into practical, real-world maintenance use cases.

Stakeholder Engagement:

Work closely with maintenance, engineering, operations, and leadership teams to communicate what is changing, why it matters, and how to support successful adoption.

Data Migration Support:

Collaborate with global program teams and site stakeholders to support data migration activities, providing maintenance context for asset structures, maintenance plans, and master data.

Training Reinforcement:

Partner with system training teams to reinforce key concepts through practical examples, process walkthroughs, and on-site engagement.

Hypercare Support:

Support post-go-live activities, including issue triage, adoption coaching, and reinforcement of standardised processes and system usage.

Cross-Functional Collaboration:

Work closely with PMO, Change Management, Data Migration, QMS, Training, and IT teams to support successful deployment and resolve site-specific challenges.

Continuous Improvement:

Identify opportunities to improve deployment approaches, strengthen adoption, and capture lessons learned for future deployment waves. Must Haves

• Bachelor's degree and 4+ years of experience in Maintenance, Engineering, Reliability, or related discipline ??OR advanced degree and 2+ years of relevant experience
• Strong experience in maintenance work management processes (planning, scheduling, execution, close-out)
• Practical experience working with CMMS or Enterprise Asset Management systems
• Strong stakeholder engagement and communication skills
• Experience working in cross-functional, project-driven environments Nice to Have
• Experience supporting CMMS or asset management system deployments or transformations
• Familiarity with systems such as eMaint, Maximo, SAP PM, Infor EAM, or similar
• Experience in regulated manufacturing environments
• Understanding of maintenance-related QMS requirements
• Experience supporting data migration or master data validation
• Familiarity with change management principles
• Experience supporting hypercare, go-live, or user adoption activities
• Exposure to Lean, reliability excellence, or continuous improvement initiatives