Global Sourcing Manager – Logistics Purchasing, AI/ML Analytics

General Motors

Global logistics sourcing manager optimizing General Motors’ freight purchasing, suppliers, and costs. Applying AI/ML analytics to improve transportation performance, resilience, and decision-making.

Posted 9/10/2026full-timeWarren • Missouri • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and executing sourcing strategies, managing supplier relationships, and applying AI/ML for data-driven decision-making in logistics. Proficient in analyzing transportation requirements and optimizing cost, quality, and service levels while ensuring compliance and performance management.

Highest-signal resume keywords

Sourcing Strategy DevelopmentSupplier Relationship ManagementData Analysis and AutomationAI/ML Application in LogisticsContract Negotiation and Management

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisContract InterpretationNegotiation SkillsProject ManagementFinancial AnalysisLogistics OptimizationPerformance Metrics MonitoringRisk AssessmentCost AnalysisAutomation Solutions

Soft Skills

Clear CommunicationRelationship ManagementInitiativePrioritizationProblem-Solving

Tools & Technologies

SAPData DashboardsAutomated ToolsAI/ML TechnologiesLogistics Management Systems

Industry Keywords

LogisticsSupply Chain ManagementFreight ForwardingTransportationSupplier PerformanceCompliance StandardsCost DriversOperational RiskSLA MonitoringMarket Analysis

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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 workstreams
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

Benefits

Comp & perks

Benefits and Total Rewards resources supporting well-being at work and at home
Potential role-related assessments and/or pre-employment screening
Reasonable accommodations for applicants with disabilities
No relocation benefits; relocation costs are the selected candidate’s responsibility