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IBM

Supply Chain Business Transformation Consultant-Warehouse & Logistics

No City, United States

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hirly's read of this role

Role family
Supply chain
Seniority
Mid level
Country
US
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting.

the posting

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As a Supply Chain Business Transformation Consultant specializing in Warehouse & Logistics, you will optimize and streamline warehouse and logistics operations to enhance productivity, reduce costs, and improve customer satisfaction. This role requires a deep understanding of supply chain and logistics principles, as well as strong analytical and communication skills to effectively collaborate with stakeholders and drive successful transformation projects. Your primary responsibilities will include: • Analyze Current Processes: Analyze existing warehouse and logistics operations to identify inefficiencies and areas for improvement, applying knowledge of supply chain and logistics principles to inform recommendations. • Implement Innovative Solutions: Develop and implement innovative supply chain solutions to enhance productivity, reduce costs, and improve customer satisfaction, collaborating with stakeholders to ensure successful project outcomes. • Collaborate with Stakeholders: Work closely with stakeholders to understand business needs and drive transformation projects forward, utilizing strong analytical and communication skills to facilitate effective collaboration. • Enhance Operational Efficiency: Streamline warehouse and logistics operations to improve efficiency, reduce waste, and enhance overall performance, applying knowledge of industry best practices to inform optimization efforts. • Drive Business Growth: Contribute to business growth by identifying opportunities for improvement and implementing solutions that drive increased productivity, reduced costs, and improved customer satisfaction. • Supply Chain Principles Knowledge: Experience with supply chain and logistics principles, including analysis and application of industry best practices to inform process improvements and optimization efforts. • Analytical Skills: Exposure to data analysis and interpretation, with the ability to identify inefficiencies and areas for improvement in warehouse and logistics operations. • Logistics Operations Understanding: Experience working with warehouse and logistics operations, including knowledge of industry standards and best practices for process optimization and improvement. • Communication Skills: Experience with effective communication and collaboration with stakeholders, including the ability to facilitate project outcomes and drive transformation efforts forward. • Process Improvement Expertise: Experience with process improvement methodologies and tools, including the ability to develop and implement innovative solutions to enhance productivity and reduce costs. • Industry Best Practices Knowledge: Exposure to industry best practices for process optimization and improvement in warehouse and logistics operations, including knowledge of standards and regulations. • Data Analysis Tools Familiarity: Experience working with data analysis tools and techniques to identify inefficiencies and areas for improvement in warehouse and logistics operations. United States Consulting Hybrid Professional No City, US (0147) International Business Machines Corporation

Original posting on IBM's site ↗

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