[Skip To Content]

Global Sourcing Manager – Logistics Purchasing & AI/ML Analytics

  • 위치
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202619400

설명

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-matter experts.

  • SAP experience or the ability to learn purchasing systems

  • Willingness to travel approximately 5–10% domestically and internationally.

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience sourcing transportation, freight forwarding, warehousing, containers, manufacturing services, or other supply chain categories.

  • Experience with logistics management, transportation management, supply chain planning, ERP/procurement systems, business intelligence tools, SQL, Python, cloud data platforms, or machine-learning frameworks.

  • Knowledge of transportation cost structures, rate and tariff models, fuel surcharges, accessorials, lane economics, service-level agreements, capacity and materials management, or contract law as applied to purchasing.

  • Experience developing AI/ML use cases for forecasting, optimization, anomaly detection, classification, natural-language analysis, or decision support.

  • Automotive, manufacturing, commodity, cost-analysis, or engineering-document experience; ability to interpret market trends and regulatory considerations.

  • Master’s degree in supply chain, business administration, data science, computer science, AI/ML, engineering, or a related field.

  • Experience leading cross-functional transformation, digital procurement, or enterprise-scale analytics initiatives.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

이 직무는 하이브리드 직무로 분류됩니다. 즉, 선발된 지원자는 특정 근무지로 주 3일 이상(또는 관리자가 지정한 다른 빈도로) 특정 근무지로 출근해야 합니다.

선발된 지원자는 이 직무를 위해 25% 미만의 출장을 다녀야 합니다.

이 직무는 리로케이션 혜택을 받을 수 없습니다. 모든 리로케이션 관련 비용은 최종선정 된 지원자가 부담해야 합니다.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.