Associate Partner - Supply Chain Distribution & Logistics

Introduction 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. Your role and responsibilities Analyze Current Processes: analyze existing warehouse and logistics operations to identify inefficiencies and areas for improvement, leveraging a deep understanding of supply chain and logistics principles to inform recommendations. Implement Innovative Solutions: design and implement innovative solutions to enhance productivity, reduce costs, and improve customer satisfaction, driving successful transformation projects that meet business objectives. Collaborate with Stakeholders: effectively collaborate with stakeholders to drive transformation projects forward, utilizing strong analytical and communication skills to ensure seamless execution and stakeholder buy‑in. Drive revenue growth: through strategic account collaboration, executive‑level client engagement, and initiatives that expand IBM’s market presence. Drive Business Growth: drive business growth by optimizing warehouse and logistics operations, ensuring that solutions meet customer expectations and maintain a competitive edge in the market. Offering Development: shape IBM’s planning and logistics consulting strategy and offerings to align with market trends and client needs. Thought Leadership: influence C‑suite decisions and build trusted advisor relationships with senior stakeholders. Hybrid work arrangement Hybrid: Your work location of City, State was assigned based on business need and currently your role is designated as a hybrid role. Hybrid roles are expected to perform their primary duties from a combination of IBM location, client sites or work at home. The required number of days to be in the office is to be determined by your management team. Any changes to this work arrangement must be preapproved by your manager before any changes are made. This job can be performed from anywhere in the US. Required technical and professional expertise Deep Expertise in Supply Chain and Logistics: proven experience with supply chain and logistics principles, including analysis, design, and implementation of efficient warehouse and logistics operations. Experience with relevant tech solutions: good understanding of leading platforms and technologies relevant to planning and logistics. Experience with Process Optimization: a track record of analyzing and optimizing complex business processes, identifying inefficiencies, and implementing innovative solutions to drive productivity and cost savings. Familiarity with business transformation methodologies and tools, such as process mapping, lean principles, and change management techniques. Experience with Data-Driven Decision Making: experience with data analysis and interpretation to inform business decisions, drive transformation projects, and measure their success. Expertise in Stakeholder Management: proven ability to effectively collaborate with stakeholders, including senior leaders, customers, and team members, to drive transformation projects forward and ensure seamless execution. Preferred technical and professional experience Advanced Supply Chain Knowledge: deep expertise in supply chain and logistics principles, including analysis, design, and implementation of efficient warehouse and logistics operations, to drive business success. Business Transformation Methodologies: familiarity with business transformation methodologies and tools, such as process mapping, lean principles, and change management techniques, to inform transformation projects. Data Analysis Expertise: experience with data analysis and interpretation to inform business decisions, drive transformation projects, and measure their success, ensuring data‑driven decision making. AI experience. IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. #J-18808-Ljbffr IBM Computing