Supervisor - Logistics Systems and Analytics
Description
Hybrid : This role is categorized as hybrid. This means the successful candidate is expected to report to Warren – GM Global Technical Center three times per week, at minimum or other frequency dictated by the business.
Join the Customer Care and Aftersales (CC&A) Logistics team as a strategic leader driving data science initiatives across the Global Logistics and Containers Organization . You’ll lead a team of analytics professionals focused on logistics systems management, advanced analytics, systems integration, and budget support. This role blends leadership, technical expertise, and business acumen to deliver scalable solutions that enhance operational efficiency and customer experience.
You’ll serve as a key liaison across Operations, Inventory Management, Supply Chain, Sales, Purchasing, GM IT, third-party vendors, and customers—translating complex data into actionable insights and leading high-impact projects.
Responsibilities:
Data Strategy & Analytics Leadership
Architect and execute analytics strategies that optimize logistics performance and customer delivery
Lead initiatives to improve system integration, dealer visibility, and dealer-to-dealer transactions
Define and implement best practices for scalable, high-quality executive dashboards and visualizations
Technical Execution
Retrieve, integrate, and analyze large datasets from diverse systems using SQL, Databricks, Power BI, and other modern data platforms.
Apply statistical and machine learning techniques to uncover trends, forecast outcomes, and support decision-making
Develop and maintain reporting tools that support financial performance management and operational planning
Cross-Functional Collaboration
Partner with business stakeholders to identify opportunities and deliver rapid analytics solutions
Translate business needs into technical requirements and communicate insights through compelling data storytelling
Collaborate with IT and business leaders to scope future projects and align on execution plans
Team Leadership
Supervise and mentor a team of data professionals, fostering a culture of innovation and continuous improvement.
Prioritize team workload and ensure timely delivery of strategic projects and ad hoc requests
This job may be eligible for relocation benefits
Your Skills & Abilities (Required Qualifications):
Bachelor's degree in Computer Science, Information Systems, Data Science, Business, Supply Chain, Finance, related field, or equivalent work experience
5+ years relevant post-graduate work experience in Purchasing, Warehousing/Operations, Supply chain, or Logistics
Database: strong proficiency in SQL, Cloud (Databricks), Oracle, SQL Server, Hadoop, Knime, or ETL
Demonstrated ability to work with Microsoft Office software, especially Excel, Access, and PowerPoint
10% travel to GM locations is required
What Give You A Competitive Edge (Preferred Qualifications):
Master's degree in Computer Science, Data Science Information Systems, Supply Chain Management, Business, or related advanced degree a plus
Data Transformation: Understanding of data manipulation and transformation techniques
Business Intelligence: Power BI preferred, Tableau/Cognos a plus
Understanding of Mainframe & WMS Systems
Automotive service and parts experience
Customer and, or Dealer contact interface experience
People Leader Experience
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., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)
#LI-MD1
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
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