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Logistics Engineer

PrimeSource Building Products, Inc.
Irving, USA
Full-time
Mid · 5+ years experience
Hybrid
Discovered 1 weeks ago
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Position Summary

The Logistics Engineer is responsible for conducting thorough research and data collection to support analytics for the Prime Source & Wolf Supply Chain network. This position is centered on designing and engineering both inbound and outbound transportation operations to maintain efficiency and effectiveness within the company’s fleet. The engineer analyzes data, reviews delivery requirements, and conducts mapping analysis of operational and delivery footprints, all aimed at optimizing logistics processes. Additionally, this role utilizes strategic analysis to pinpoint opportunities for improved route optimization, emphasizing maximizing fleet efficiency and driver utilization. Responsibilities include evaluating operational tradeoffs, assessing service levels, and making data-driven recommendations to streamline routes and allocate resources more effectively. The ultimate objective is to achieve cost savings, enhance the effectiveness of delivery routes across the network, and support the highest level of productivity for vehicles and drivers. The Logistics Engineer may also take on other duties as assigned by the business team to support department goals.

Network Optimization & Design

Develop and oversee network models to evaluate transportation and distribution strategies

Conduct dynamic route optimization analyses using real-time data to adjust delivery routes, resulting in reduced travel time and enhanced fleet utilization

Consolidate shipments across service regions to maximize load capacity and minimize trip frequency, improving network efficiency and reducing fleet costs while upholding high delivery service standards

Strategic Analysis & Business Case Development

Evaluate cost, service, and operational tradeoffs to provide clear recommendations for improving logistics and resource utilization

Develop business cases for route and network enhancements that align with organizational objectives and stakeholder interests

Tools, Data & Process Enablement

Utilize analytics tools such as Python and Coupa to create network optimization models and deliver actionable insights

Research service regions and capacity, and design processes to support scenario analysis and capacity planning

Summarize operational tradeoffs, construct business cases for potential investments, and clearly communicate recommendations to leadership

Leadership & Cross‑Functional Collaboration

Manage multiple projects simultaneously, ensuring they are prioritized, coordinated, and successfully executed

Provide guidance and support to direct reports and peers to maintain consistent analytical standards

Collaborate with cross-functional teams to ensure recommendations are feasible and implementable

Required Skills & Competencies

  • Strong problem-solving and analytical skills
  • Ability to convert complex analyses into actionable recommendations
  • Excellent written and verbal communication abilities
  • Sound business acumen, with a solid grasp of cost and service drivers
  • Collaborative leadership style and the ability to influence across teams
  • High ethical standards and alignment with the organization’s values

Qualifications

  • Bachelor’s degree in Engineering (Industrial, Mechanical, Electrical, or Computer Science) required from an EAC- ABET recognized institution. Master’s Degree preferred in Engineering from an EAC-ABET recognized institution
  • Minimum of 5 years’ experience in network optimization, transportation planning, or supply chain engineering
  • Deep understanding of final mile delivery, warehousing, supply chain, logistics, and Transportation Management Systems (TMS), such as SAP TM
  • Strong analytical and quantitative skills, with proficiency in tools such as Power BI, Tableau, SQL, and ideally optimization/modeling platforms (e.g., Coupa, GEP SMART, JAGGAER One, etc.)
  • Exceptional communication and collaboration skills, with the ability to work independently or as part of a team in a dynamic environment
  • Previous leadership or mentoring experience is highly preferred

Work Conditions

Location: Hybrid work arrangement, combining remote and on-site work as needed at corporate offices.

Schedule: Monday to Friday, with additional hours as required

Travel Requirement: Less than 10%

Work Environment: Primarily office-based, with occasional visits to operational settings

Reasonable Accommodation Statement

To successfully perform this role, individuals must be able to complete each essential function with or without reasonable accommodation. Reasonable accommodation may be provided to enable individuals with disabilities to perform essential functions.

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