Senior Supply Chain Specialist

This role designs, analyzes, and continuously improves supply chain processes by combining deep domain expertise in procurement, planning, inventory management, and logistics with AI-enabled analytics. The position collaborates closely with the AI deployment team to ensure supply chain data is accurate, accessible, and suitable for model development, while piloting and implementing AI-driven solutions that improve forecast accuracy, inventory optimization, supplier performance, and material availability.

The role ensures all supply chain improvements support operational objectives, business continuity, and measurable financial outcomes. Job Roles Domain Expertise --maintains deep knowledge of internal processes and capabilities, emerging technologies, enabling elements (raw materials, inputs, science, etc.) Innovation and improvement --willing to try new things; focused on continuous improvement even for persistent problems; constantly learning Development focused --provides guidance and assistance to associates; helps others improve in their roles; distributes work through a growth lens Data informed --focused on things that drive quantifiable business outcomes; evaluates based on quantitative feedback; knows and explains the relationship between actions and expected results Prioritization and orchestration --differentiates between urgent and important; attends to issues as they arise within the framework of a strategy and plan; focused on team deployment toward solutions Relationship and communication --connects individually and with teams across practice areas and leadership levels; builds rapport and commonality; creates a “win together” ethic; gives and receives feedback and takes action accordingly Systems thinker --sees the business and its operation holistically; understands actions and reactions; manages complexity well; understands when to intervene and when to step back Independent initiative --manages time well; does not require direction; takes responsibility for finding and solving problems; optimizes based on learning and team input; thinks about the future and anticipates needs Customer focus --understands requirements and applications to ensure an excellent product; manages multiple products; leverages historical knowledge and data; takes on difficult configurations and manages them professionally and objectively Responsibilities Analyze and optimize supply chain processes using AI-enabled tools to improve forecast accuracy, inventory levels, supplier performance, and material flow Evaluate demand, inventory, supplier, and logistics data to identify risks, bottlenecks, and opportunities for AI-driven decision support Provide supply chain domain expertise to guide AI model development, feature selection, validation, and deployment for planning, procurement, inventory, and logistics applications Collaborate with AI engineers and business stakeholders to ensure supply chain systems generate clean, structured, and reliable data for model training and decision-making Lead pilot projects for AI-based demand forecasting, inventory optimization, supplier risk monitoring, and production planning improvements; validate business impact and ROI Develop dashboards, KPIs, and monitoring processes that enable proactive management of supply chain performance and AI model effectiveness Partner with operations, engineering, procurement, quality, and suppliers to implement AI recommendations and drive adoption of new ways of working Ensure compliance with company policies, supplier requirements, and applicable regulatory standards while deploying AI-enabled solutions Basic Qualifications Bachelor's degree in Supply Chain Management, Business, Engineering, Operations Management, or related field from an accredited institution A minimum of 7 years of experience in supply chain, procurement, planning, logistics, inventory management, or operations Employees must be legally authorized to work in the United States.

Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Preferred Qualifications

Strong understanding of manufacturing supply chains and ERP/MRP systems Familiarity with Six Sigma, Lean, and basic data tools (Power BI, SQL, Python, statistical analysis, or data visualization tools) Experience with inventory optimization, demand forecasting, supplier performance management, and production planning.

Experience supporting AI, advanced analytics, or digital transformation initiatives in manufacturing environments.