Senior Industrial Engineer – Capacity and Capability Planning

GTI is a contract manufacturing partner supporting customers in renewable energy, power generation, infrastructure, and industrial systems.

We fabricate custom designed, purpose-built enclosures and skids for our customers and perform mechanical and electrical integration in-house, delivering a true turn-key product to our customers. Our scope spans Engineering, prototype builds, through full production, requiring teams that can move fast, adapt, and execute with precision.

GTI Values:
Safety I Quality I Customer Obsession I Speed I Agility

GTI Fabrication is seeking a Senior Industrial Engineer - Capacity & Capability Planning to lead industrial engineering analysis for enterprise and site-level manufacturing capacity and capability planning across new plants, joint ventures, and major facility expansions. This position owns the development of demand-to-capacity models, capability assessments, constraint analysis, and scenario planning to establish where and how future production requirements are executed.

The Senior Industrial Engineer will serve as a key technical authority, translating product demand, process requirements, equipment performance, labor assumptions, and facility constraints into data-driven capacity strategies and capital investment recommendations. This role requires advanced expertise in industrial engineering principles, rigorous analytical modeling, and strong cross-functional alignment across contract manufacturing operations.

• Develop and maintain site, process, equipment, and network-level capacity models to support current operations and future growth.
• Translate demand forecasts, product mix, takt requirements, routings, cycle times, yields, OEE, staffing, and shift patterns into demonstrated and required capacity.
• Establish standardized assumptions and methodologies for rated, practical, and demonstrated capacity, utilization, line balancing, and constraint analysis.
• Maintain long-range capacity and capability roadmaps aligned to business plans, product launches, and sourcing strategies.

• Perform manufacturing capability assessments across facilities, processes, tooling, quality systems, and infrastructure for new product introductions and volume ramps.
• Identify single points of failure, bottlenecks, and capability gaps across fabrication, assembly, testing, material handling, and warehousing operations.
• Formulate capability risk matrices, closure plans, and countermeasure strategies to ensure overall operational readiness.
• Establish recommended process qualification and validation requirements to bridge identified technical gaps.

• Model scenario options for volume growth, product-mix changes, shift additions, overtime, line replication, equipment additions, and footprint expansions.
• Develop data-driven make-versus-buy, debottlenecking, and capital deployment alternatives using cost, risk, schedule, and scalability criteria.
• Define technical specifications, timing, and capital requirements for production equipment, tooling, utilities, facilities, and automation.
• Deliver executive-level decision packages and business cases for network footprint and capital investment strategy.

• Partner with Operations and Advanced Manufacturing Engineering to validate cycle times, process capabilities, and equipment rates against shop-floor performance.
• Collaborate with supply chain, finance, facilities, quality, and commercial teams to align vendor capacity, capital budgets, and customer timing.
• Perform post-investment performance verifications and bottleneck audits to validate throughput gains against predictive models.
• Lead project-based industrial engineers and technical resources assigned to network expansion initiatives.

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, or a related technical discipline.
• 5-8+ years of progressive industrial engineering experience focused on capacity planning, facility layout design, line balancing, and capability modeling in manufacturing environments.
• Demonstrated expertise in building complex, data-driven demand-to-capacity models, discrete event simulations, or mathematical queueing/WIP models.
• Proven track record of evaluating site footprint expansions, line replications, capital equipment justification, and operational debottlenecking.
• Strong understanding of continuous improvement tools, OEE breakdown analysis, takt time calculations, and process yield modeling.

• Experience in high-mix, low-volume, or engineered-to-order manufacturing environments (e.g., structural steel fabrication, heavy equipment, modular platforms, or complex system integration).
• Background in capital planning and facility design for greenfield or brownfield site developments.
• Advanced proficiency in ERP/PLM…