Spares Sourcing Intelligence Manager

Role Overview

• Own sourcing intelligence for critical spare parts commodities, including HDD, SSD, memory, CPU, GPU, and other server, storage, and networking components.
• Develop commodity-level benchmarks and intelligence on cost drivers, technology transitions, lifecycle risks, and market pricing trends.
• Support sourcing strategies, negotiations, and business planning with data-backed insights and scenarios.
• Provide analytical support to predict, assess, and mitigate shortages and backorders across the spare parts supply chain.
• Perform root-cause analysis of supply issues across forecast accuracy, supplier performance, capacity constraints, lead times, and quality or logistics disruptions.
• Translate insights into actionable recommendations to support shortage recovery and prevention plans.
• Support sourcing initiatives with cost analysis, should-cost models, and scenario evaluations for multiple commodities and suppliers.
• Track supplier performance metrics such as on-time delivery, fill rates, commitments vs. actuals, and recovery effectiveness.
• Enable fact-based discussions with suppliers through structured analytics and intelligence.
• Develop intelligence on spare parts kitting service providers, processes, and cost structures.
• Analyze kitting capacity, constraints, and operational risks to support sourcing and network optimization decisions.
• Drive continuous improvement in sourcing and supply assurance analytics using advanced Excel, BI tools, and AI-enabled techniques.
• Define analytics and data requirements to support digital tools, dashboards, and future-state planning systems.
• Identify opportunities for structural improvements, resilience, and long-term cost optimization in the spare parts ecosystem.
• Work closely with Sourcing, Supply Assurance, Operations, Finance, and Digital teams to align intelligence with business priorities and execution needs.

Requirements

• Bachelor’s degree in engineering, Supply Chain, Operations, Analytics, or equivalent; MBA or advanced degree preferred
• ~15 years of experience in spare parts sourcing, supply assurance, supply chain analytics, or commodity intelligence, preferably in high-tech or manufacturing environments.
• Solid understanding of end-to-end spare parts supply chains, including procurement, suppliers, kitting, logistics, and aftermarket support.
• Experience supporting shortage management, recovery initiatives, and supply risk mitigation through analytics and insights.
• Advanced proficiency in Excel and PowerPoint for modeling, analysis, and executive communication.
• Experience with BI tools (e.g., Power BI) and data querying tools (e.g., SQL) and supply chain modeling skills preferred.
• Familiarity with AI-enabled analytics concepts and digital transformation initiatives is a plus.

Tech Stack

• SQL

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion