Global Sourcing Manager - Logistics Purchasing & AI/ML Analytics

General Motors; Warren (MI); Hybrid; USD 120,000 - 150,000; Full time

Job summary

General Motors in Warren, MI seeks a Global Sourcing Manager to lead strategic sourcing and supplier management for logistics services. Translate freight and supplier data into recommendations that improve cost, service, resilience, and visibility, collaborating with cross-functional teams.

The role emphasizes AI/ML-enabled analytics, data-driven decision making, and governance within GM frameworks; build models, dashboards, and partnerships with carriers to optimize the logistics network.

Qualifications

• Bachelor's degree in supply chain, logistics, procurement, business, finance, computer science, data science, or related field.
• 2+ years of relevant experience in purchasing, strategic sourcing, logistics, or a related discipline.
• Experience managing complex data and applying automation, AI/ML, or other technology to business problems.
• Strong analytical, negotiation, project-management, and problem-solving skills; ability to interpret contracts, pricing structures, cost drivers, supplier proposals, and performance data.
• Data judgment: uses automated tools appropriately, analyzes information objectively, and draws meaningful conclusions.
• Informative communication and relationship management; communicates clearly with executives, suppliers, operations leaders, technical teams, and cross-functional stakeholders.
• Willingness to learn logistics through structured training, site visits, supplier meetings, and collaboration with subject-matter experts.

Responsibilities

• Develop and execute sourcing strategies for 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 in category strategies.
• Maintain the sourcing pipeline, benchmarking data, strategy presentations, budget inputs, and on-time metrics; follow GM purchasing, accounting, and audit requirements.
• Build productive relationships with carriers, rail and ocean providers, trucking and haulaway providers, freight forwarders, yard operators, technology partners, and other logistics suppliers.
• Monitor 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 with legal, finance, operations, and business partners.
• Evaluate supplier financial health, capacity, safety, quality, cybersecurity, sustainability, and operational risk.
• Build repeatable data models, dashboards, and tools that improve freight-cost, sourcing, and supplier-performance management.
• Consolidate and normalize 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 to surface sourcing opportunities and reduce manual work.
• Document data sources, business rules, assumptions, methods, and reusable outputs; validate findings with logistics experts before business use.
• Apply governance, access controls, explainability, model-risk practices, and human review to AI-enabled purchasing decisions.

Skills

Analytical skills

Negotiation

Project management

Data analytics

Stakeholder communication

Education

Bachelor's degree in supply chain, logistics, procurement, or related field

Tools

SAP

Excel

Power BI

Job description

Work Arrangement

This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum.

The Role

The Global Sourcing Manager leads strategic sourcing, supplier management, and cost-optimization activities for logistics services. The role is ideal for a sourcing, procurement, data, or AI/ML professional who can translate complex freight and supplier data into recommendations that improve cost, service, resilience, visibility, and operational performance. The successful candidate brings commercial judgment and analytical capability, plus the curiosity and learning agility to become a purchasing logistician through structured development, supplier engagement, operational exposure, and partnership with experienced logistics professionals.

What You'll Do

Strategic Logistics Sourcing

• 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 in category strategies.
• Maintain the sourcing pipeline, benchmarking data, strategy presentations, budget inputs, and on-time metrics; follow GM purchasing, accounting, and audit requirements.

Supplier, Contract & Business Management

• Build productive relationships with carriers, rail and ocean providers, trucking and haulaway providers, freight forwarders, yard operators, technology partners, and other logistics suppliers.
• Monitor 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 with legal, finance, operations, and business partners.
• Evaluate supplier financial health, capacity, safety, quality, cybersecurity, sustainability, and operational risk.

AI/ML-Enabled Freight Analytics

• Build repeatable data models, dashboards, and tools that improve freight-cost, sourcing, and supplier-performance management.
• Consolidate and normalize 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 to surface sourcing opportunities and reduce manual work.
• Document data sources, business rules, assumptions, methods, and reusable outputs; validate findings with logistics experts before business use.
• Apply appropriate governance, access controls, explainability, model-risk practices, and human review to AI-enabled purchasing decisions.

Logistics Learning & Leadership

• Build working knowledge of rail, ocean, truck, haulaway, yard management, freight forwarding, air, and container services-and how they are planned, purchased, measured, and executed.
• Connect sourcing decisions to pickup and delivery performance, dwell, transit time, capacity, damage, claims, inventory flow, and customer service.
• Influence without relying solely on formal authority; establish priorities, simplify work, coach others, and promote ethical, customer-focused, fact-based decision-making.

Your Skills & Abilities (Required Qualifications)

• 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 in purchasing, strategic sourcing, supply chain, logistics, program/product management, account management, engineering/product development, data/analytics, or a related discipline (any 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: uses automated tools appropriately, analyzes information objectively, and draws meaningful conclusions.
• Informative communication and relationship management; communicates clearly with executives, suppliers, operations leaders, technical teams, and cross-functional stakeholders.
• Results focus and workload management; takes initiative, prioritizes critical work, manages multiple workstreams, and delivers on time.
• Willingness to learn logistics through structured training, site visits, supplier meetings, operational reviews, and collaboration with subject-matt