Global Logistics Sourcing Leader | AI/ML Analytics

General Motors

Warren (MI)

Hybrid

USD 120,000 - 150,000

Full time

4 days ago

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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.