Global Sourcing Manager – Logistics Purchasing, AI​/ML Analytics

Responsibilities

• Develop and execute sourcing strategies for assigned logistics categories, lanes, regions, and service providers
• Lead or support RFQs, bid events, market analyses, negotiations, award recommendations, and contract implementation
• Analyze transportation requirements, network structures, capacity, service levels, accessorials, fuel mechanisms, risk, and total landed cost
• Balance cost, quality, service, capacity, flexibility, resiliency, sustainability, and business continuity
• Maintain sourcing pipeline, benchmarking data, strategy presentations, budget inputs, and on-time metrics
• Build relationships with carriers, rail and ocean providers, trucking and haulaway providers, freight forwarders, yard operators, technology partners, and other logistics suppliers
• Monitor supplier performance against contracts, SLAs, cost targets, operational requirements, and compliance standards; lead KPI reviews and corrective actions
• Support contracts, renewals, amendments, claims, escalations, commercial issue resolution, and disruption mitigation
• Evaluate supplier financial health, capacity, safety, quality, cybersecurity, sustainability, and operational risk
• Build repeatable data models, dashboards, and tools for freight-cost, sourcing, and supplier-performance management
• Consolidate and normalize logistics data across modes, lanes, locations, rates, invoices, accessorials, fuel, capacity, service events, and contracts
• Apply AI/ML for forecasting, optimization, anomaly detection, data quality, pattern recognition, and decision support
• Document data sources, business rules, assumptions, methods, and reusable outputs; validate findings with logistics experts
• Apply governance, access controls, explainability, model-risk practices, and human review to AI-enabled purchasing decisions
• Build working knowledge of rail, ocean, truck, haulaway, yard management, freight forwarding, air, and container services
• Connect sourcing decisions to pickup and delivery performance, dwell, transit time, capacity, damage, claims, inventory flow, and customer service
• Influence without formal authority, establish priorities, simplify work, coach others, and promote ethical, customer-focused, fact-based decision-making

• Bachelor’s degree in supply chain, logistics, procurement, business, finance, computer science, data science, engineering, AI/ML, or a related field; equivalent professional experience may be considered
• 2+ years of relevant experience; internship or co-op experience will not be considered
• Experience managing complex data, developing analytical solutions, or applying automation, AI/ML, or other technology to business problems
• Strong analytical, commercial, financial, negotiation, project-management, and problem-solving skills
• Ability to interpret contracts, pricing structures, cost drivers, supplier proposals, and performance data
• Data judgment and ability to use automated tools appropriately
• Clear communication and relationship management with executives, suppliers, operations leaders, technical teams, and cross-functional stakeholders
• Initiative, prioritization, workload management, and timely delivery across multiple work streams
• Willingness to learn logistics through structured training, site visits, supplier meetings, operational reviews, and collaboration with subject-matter experts
• SAP experience or ability to learn purchasing systems
• Willingness to travel approximately 5–10% domestically and internationally
• No GM immigration-related sponsorship is provided; candidates needing sponsorship now or in the future are ineligible

Demonstrates expertise in developing and executing sourcing strategies, managing supplier relationships, and applying AI/ML for data-driven decision-making in logistics.…