Global Sourcing Manager – Logistics Purchasing, AI/ML Analytics

Jobtailor

Missouri

On-site

USD 80,000 - 120,000

Full time

6 days ago

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Job summary

Jobtailor is seeking a Logistics Sourcing Specialist to develop and execute sourcing strategies for logistics categories, lanes, and service providers. You will lead RFQs, bid events, market analyses, and contract implementation while aligning cost, service, and risk with business goals.

You will analyze transportation requirements, build data models and dashboards for freight-cost and supplier performance, and collaborate with carriers, freight forwarders, and technology partners to drive

Qualifications

Bachelor’s degree in related field or equivalent experience.
2+ years of relevant experience in logistics, procurement, or data analytics.
Experience managing complex data and applying automation or AI/ML to business problems.
Strong analytical, commercial, financial, negotiation, and problem-solving skills.
Ability to interpret contracts, pricing structures, and performance data.
Willingness to travel 5–10% domestically and internationally.
No GM immigration sponsorship provided.

Responsibilities

Develop and execute sourcing strategies for logistics categories, lanes, regions, and service providers.
Lead RFQs, bid events, market analyses, negotiations, award recommendations, and contract implementation.
Analyze transportation requirements, network structures, capacity, service levels, accessorials, fuel mechanisms, risk, and landed cost.
Balance cost, quality, service, capacity, flexibility, resiliency, sustainability, and business continuity.
Maintain sourcing pipeline, benchmarking data, and budget inputs; monitor on-time metrics.
Build relationships with carriers, rail/ocean providers, and freight forwarders.

Skills

Analytical skills

Negotiation

Project management

Financial analysis

Contract interpretation

Data-driven decision making

Education

Bachelor’s degree in supply chain, logistics, procurement, business, finance, computer science, data science, engineering, AI/ML, or a related field

Tools

SAP

Data dashboards

AI/ML technologies

Logistics management systems

Job description

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

Requirements

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

Core Competencies

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.

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