Manager - Network Optimization

S.P. Richards Company

S.P. Richards is an Equal Opportunity Employer and fully subscribes to the principles of Equal Employment Opportunity. The company ensures that all applicants and employees are considered for hire, promotion and job status, without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, age, veteran status, disability, or any other characteristic protected by law.

The Manager, Network Optimization will be responsible for optimizing transportation networks, ensuring cost-effective and compliant fleet management, and driving operational excellence across multiple regions. The role will combine strong leadership with data-driven decision-making to maximize efficiency, improve customer service, and reduce operating costs.

Other duties may be assigned.

• Oversee daily and long-term fleet operations, including maintenance, utilization, compliance, and cost control.
• Manage vendor/partner relationships (leasing, fuel providers, repair facilities).
• Establish preventive maintenance programs and safety standards.

• Design, evaluate, and implement transportation network strategies to improve service reliability and reduce costs.
• Use data analytics, modeling, and KPIs to optimize route planning, load balancing, and asset deployment.
• Lead continuous improvement initiatives in fleet utilization and logistics flow.

• Lead, mentor, and develop a team of operations managers, supervisors, and analysts.
• Align fleet and network strategy with broader supply chain and business objectives.
• Collaborate cross-functionally with finance, sales, and customer service to ensure seamless operations.

• Ensure compliance with DOT, FMCSA, OSHA, and other regulatory requirements.
• Oversee fleet safety programs, driver compliance, and training.
• Implement risk mitigation strategies to minimize downtime and liability.

• Manage fleet and transportation budgets, including cost forecasting and capital planning.
• Track KPIs such as cost per mile, on-time delivery, fuel efficiency, and asset ROI.
• Deliver executive reports on operational performance and network efficiency.

• Logistics Network Analyst

• Proven track record in network optimization and large-scale fleet management.
• Strong knowledge of DOT/FMCSA regulations, safety standards, and compliance requirements.
• Proficiency with TMS (Transportation Management Systems), fleet telematics, and advanced analytics tools.
• Exceptional leadership, communication, and problem-solving skills.

• Bachelor's degree in Logistics, Supply Chain, Business, Engineering, or related field
• 710 years of progressive experience in fleet operations, logistics, or transportation management, including at least 35 years in a leadership role.

• Master's Degree in Logistics, Supply Chain, or a related field
• Experience in freight forwarding, last-mile delivery, or complex distribution networks.
• Lean Six Sigma, PMP, or other process improvement certifications.
• Advanced data modeling and optimization skills.

Ability to read, analyze, and interpret reports. Ability to respond to common inquiries or concerns from employees or stakeholders. Ability to effectively communicate and present information to management, distribution center staff, and drivers. Strong verbal and written communication skills.

Ability to calculate figures and amounts such as discounts, interest, commissions proportions, percentages, area, circumference, and volume. Ability to apply concepts of basic algebra and geometry.

Ability to adapt quickly to shifting priorities and business needs. Demonstrated sense of urgency and ability to maintain momentum in high-priority or time-sensitive projects. Experience collaborating within complex organizational structures across corporate and DC functions.

Ability to define problems, collect data, establish facts, draw valid conclusions, and make sound business process decisions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.