Project Industrial Engineer: Layout & Capacity Optimizer

Ultimate Staffing; Fort Worth (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Ultimate Staffing seeks a Project Industrial Engineer to lead layout planning, capacity management, and continuous improvement for a Fort Worth client. This full-time, direct-hire role is 100% onsite and partners with cross-functional teams to optimize production.

The ideal candidate applies industrial engineering principles, data analysis, and Lean methods to drive efficiency, manage projects, and deliver actionable recommendations for facility expansions.

Qualifications

• Required: Capacity planning and forecasting
• Required: Facility, production line, and layout design
• Required: Industrial engineering principles
• Required: Project management
• Required: Data analysis and reporting
• Required: Operations research and process optimization
• Required: Continuous improvement methodologies
• Required: Cross-functional collaboration
• Required: customer-facing communication and presentation skills
• Required: Manufacturing systems and Anaplan experience

Responsibilities

• Lead facility layout and infrastructure planning to optimize material flow and space utilization.
• Perform capacity planning, create models and forecasts to support business decisions.
• Drive projects related to new product introductions and manufacturing expansion using Lean and data analytics.

Skills

Capacity Planning

Facility Layout

Industrial Engineering Principles

Project Management

Data Analysis & Reporting

Operations Research

Lean & Six Sigma

Cross-Functional Collaboration

Customer-Facing Communication

Education

Bachelor's degree in Industrial Engineering or related field

Tools

Anaplan

Excel

Data visualization tools

Manufacturing planning systems

Job description

Ultimate Staffing seeks a Project Industrial Engineer to lead layout planning, capacity management, and continuous improvement for a Fort Worth client. This full-time, direct-hire role is 100% onsite and partners with cross-functional teams to optimize production.

The ideal candidate applies industrial engineering principles, data analysis, and Lean methods to drive efficiency, manage projects, and deliver actionable recommendations for facility expansions.