Posted last month
Transportation Network and Optimization Engineer
@ JDI
Dieppe, New Brunswick
Overview
Midland Transport is hiring a Transportation Network & Optimization Engineer at its head office in Dieppe, NB, to design and lead the capacity management strategy for its network. The role involves capacity modelling, bottleneck analysis, forecasting and cross-functional optimization initiatives. Full-time employment.
Responsibilities:
- Develop and maintain capacity models across terminal, linehaul and pickup and delivery
- Identify bottlenecks and optimize network performance
- Conduct forecasting, scenario modelling and performance analysis
- Lead cross-functional network optimization initiatives
- Develop engineering standards, tools and reporting
Requirements summary:
- 3 to 5 years in industrial, process, transportation or logistics engineering
- Experience with capacity models, forecasting and work measurement
- Strong project management and change leadership
- Working knowledge of terminal, linehaul and pickup and delivery operations
- Strong financial acumen
Tools & skills
Source and dates
Employer career site / ATS feed · oraclecloud
- Employer posting date
- 2026-09-30
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-21
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Business operations |
| Experience | 3+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (preferred) |
| Fields of study | Industrial Engineering, Mechanical Engineering, Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
JDI
| Field | Value |
|---|---|
| Open jobs on Jobsy | 643 |
Midland Transport is seeking a highly analytical and results-driven Transportation Network & Optimization Engineer at our Head office in Dieppe NB. This person will help shape the future of our transportation network. This role is responsible for designing and leading our capacity management strategy, ensuring the network is optimized to support operational efficiency, service excellence, resilience, and sustainable growth.
- Develop and maintain capacity models across terminal, linehaul, and pickup & delivery operations.
- Identify bottlenecks and optimize network performance using data-driven analysis and Theory of Constraints principles.
- Monitor capacity utilization and recommend solutions to improve throughput, efficiency, and service levels.
- Establish capacity protection strategies to support operational resilience and manage demand fluctuations.
- Conduct forecasting, scenario modeling, work measurement, and performance analysis to support decision-making.
- Recommend improvements to processes, staffing, schedules, routing, load planning, and asset utilization.
- Support strategic planning by translating demand forecasts into future labour, fleet, facility, and technology requirements.
- Lead cross-functional network optimization initiatives and present actionable recommendations to leadership.
- Develop engineering standards, tools, and reporting to drive continuous improvement across the organization.
- Bachelor's degree in industrial engineering, Mechanical Engineering, or a related Engineering discipline preferred.
- 3 to 5 years of experience in industrial engineering, process engineering, transportation engineering, capacity planning, or logistics optimization.
- Experience developing capacity models, conducting forecasting and scenario analysis, and utilizing work measurement methodologies.
- Strong project management skills with experience leading cross-functional initiatives and driving organizational change.
- Working knowledge of transportation and logistics operations, including terminal, linehaul, and pickup and delivery environments.
- Exceptional analytical and problem-solving abilities with a data-driven approach to decision-making.
Strong financial acumen and the ability to evaluate operational trade-offs between service, cost, and capacity. - Excellent communication and presentation skills with the ability to influence stakeholders at all levels of the organization.
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