Senior Supply Chain Specialist

Howmet Aerospace•Wichita Falls, TX

About The Position

The Senior Supply Chain Specialist designs, analyzes, and continuously improves supply chain processes by combining expertise in procurement, planning, inventory management, and logistics with AI-enabled analytics. The role collaborates with the AI deployment team to ensure supply chain data is accurate, accessible, and suitable for model development, and pilots and implements AI-driven solutions to improve forecast accuracy, inventory optimization, supplier performance, and material availability. Improvements must support operational objectives, business continuity, and measurable financial outcomes. The position calls for domain expertise, a commitment to innovation and continuous improvement, and a development-focused approach that guides associates and helps them grow. It uses quantitative feedback to connect actions with business outcomes, prioritizes and coordinates work strategically, and builds effective relationships across teams and leadership levels. The specialist takes a systems-thinking approach, manages complexity, works independently, anticipates needs, and maintains a customer focus. The role also ensures compliance with company policies, supplier requirements, and applicable regulatory standards when deploying AI-enabled solutions. Employees must be legally authorized to work in the United States; employment eligibility will be verified at hire. Visa sponsorship is unavailable.

Requirements

  • Bachelor's degree in Supply Chain Management, Business, Engineering, Operations Management, or a related field from an accredited institution.
  • At least 7 years of experience in supply chain, procurement, planning, logistics, inventory management, or operations.
  • Legally authorized to work in the United States; employment eligibility verification is required at hire. Visa sponsorship is not available.

Nice To Haves

  • Strong understanding of manufacturing supply chains and ERP/MRP systems.
  • Familiarity with Six Sigma, Lean, and basic data tools such as 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.

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 for 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.
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