Industrial Engineer Capacity Planning
Hybrid
RK5514
Contract 12 months
Dublin



We’re currently recruiting for an exciting opportunity with an award-winning Pharmaceutical organization based in Dublin. This is an excellent position for anyone who is looking to join a leading multinational who are one of the best at what they do.



The role is primarily focused on capacity model ownership, assumption governance, bottleneck identification, and modelling, while also supporting improvement identification and CI activity where capacity-planning expertise is needed.



Key Responsibilities:

• Own assigned capacity models and associated operating assumptions for labour and equipment capacity.
• Update, maintain, and improve assigned models for weekly capacity review, monthly RCCP, annual LRS, periodic assumption reviews, and ad hoc scenario analysis.
• Assess current operational performance against capacity assumptions and identify constraints, bottlenecks, utilisation issues, and planning assumptions that affect capacity.
• Maintain appropriate governance for assigned models, including assumption review, data validation, refresh checks, documentation, and change control.
• Independently present capacity outputs, model changes, assumption drivers, and scenario results to functional area management, Supply Chain, and CI partners.
• Support ongoing model improvement, including improved input accuracy, simpler table structures, more automated source-system feeds, faster scenario analysis, and more granular capacity views.
• Contribute capacity-planning expertise to improvement identification, kaizen events, and problem-solving activity where capacity, labour, equipment, or bottleneck analysis is relevant.
• Contribute to team methods for model governance, operating assumptions, data structure, and capacity-planning standards.
• Complete any other tasks or projects assigned by the Continuous Improvement and Industrial Engineering Lead.

• Bachelor's degree in Engineering, Industrial Engineering, Supply Chain, Operations Management, Business Analytics, or a related discipline.
• Minimum 3-5 years of relevant experience in industrial engineering, capacity planning, manufacturing, supply chain, operations planning, business analytics, or a related operational environment.
• Experience with planning and ERP systems such as SAP, RapidResponse, or similar systems.
• Experience maintaining capacity models, resource models, scenario tools, or assumption-driven planning models.
• Experience improving model automation, source-system feeds, table schemas, data validation, or model documentation.