Winnipeg, Manitoba
Job ID JR2025461761 Category Engineering - Industrial Role Type Onsite Post Date Jul. 18, 2025

JOB DESCRIPTION

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Boeing Canada Operations Ltd. is seeking Associate Industrial Engineer that will be reporting to the Industrial Engineering Manager and working out of the Winnipeg, Manitoba Office.
These Associate Industrial Engineer will be working on day shift supporting our operations customers within an Industrial Engineering capacity.

BASIC QUALIFICATIONS (REQUIRED SKILLS/EXPERIENCE):

• Must be legally able to work in Canada
• Individual must not pose a risk for safeguarding of controlled goods
• Must be eligible to handle US export-controlled data
• Must have a Bachelor of Science Degree or higher in a relevant field of Engineering (Industrial, Management, Manufacturing, or Mechanical Engineering) upon hire
• Must be eligible to be registered as an Engineer in Training (E.I.T) with Engineers Geoscientists Manitoba (EGM)
• 2+ years’ experience in an industrial engineering capacity (Example: data analysis, solution optimization, time studies, resource planning, lean, manufacturing engineering, and production system development)
• Excellent problem-solving and analytical skills, with the ability to apply engineering principles to optimize processes aided by the ability to work with large and complex datasets
• Well-developed communication and interpersonal skills to collaborate with cross-functional teams and effectively convey ideas and recommendations to both technical and non-technical stakeholders
• Experience with data querying languages (e.g., SQL) and data visualization tools (e.g., Cognos, Tableau, Power BI)
• Familiarity with production planning and control systems, including capacity planning, inventory management, and production scheduling
• Experience/understanding of production and business systems (SAP ECC, SAP CAMS, and/or equivalents)
• Demonstrated experience in applying process improvements

PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE):

• Knowledge of machine learning algorithms and techniques for classification, regression, clustering, and recommendation systems
• Experience with Cognos would be an asset
• Strong programming skills in languages such as Python, R, or Java
• Simulation/Modelling software (ProModel or Simio) proficiency would be an asset

EDUCATION

Bachelor’s Degree or Equivalent Required

• Applies industrial engineering concepts, approaches and techniques to product, process and services to meet program requirements of moderate complexity.
• Maintains and develops plant and equipment layouts, capacity plans, accident prevention measures, sequencing of operations and work flows.
• Supports the evaluation of new techniques and technological developments for integration into the production process and service operations.
• Designs, maintains, and optimizes the production system by integrating design, supply base, facilities, equipment, and personnel.
• Completes work flow design and analysis.
• Develops moderately complex models, databases and spreadsheets to analyze data and provides summary analysis and metrics for consultation to leaders.
• Assists with research, design, development, improvement, and implementation of processes and tools to enhance schedule performance, lower cost, and improve quality, for large scale systems integration and asset utilization.
• Develops and implements plans and programs for facility/factory modifications and revisions to operating methods.
• Provides product assembly instructions and standardizes assembly practices.
• Prepares operations plans, includes work statement analysis, budgeting and forecasts, capacity and constraint analysis and production change, to ensure technical goals and objectives are met.
• Supports execution planning by using project management, planning and scheduling and shop load practices.
• Provides production, supply chain logistics, performance visibility and recovery planning support of moderate complexity.
• Reconciles compliance with established industry safety, design standards and ergonomic guidelines.