I. Sourcing strategy and vision Define and own the multi-year sourcing vision and category strategies for the spares hardware portfolio, aligned to Azure fleet growth, technology roadmaps, and lifecycle economics from NPI through EOL. Anticipate long-horizon supply, cost, and geopolitical risks (e.g. capacity constraints, tariffs, EOL transitions, single-source exposure) and build proactive, structural mitigation strategies rather than reactive fixes. Translate long-range demand, fleet aging, and reuse and recovery outlooks into supplier capacity plans, multi-source strategies, and multi-year commercial commitments that convert secured capacity into supply when and where the fleet requires it. Set the decision framework used across the sourcing team for make/buy, multi-source, last-time-buy, reuse, and warranty renewal trade-offs, so that day-to-day decisions ladder up to the long-term strategy. II. Design the

SLA, KPI

framework for supplier performance, component pricing, lead time, and multi-source allocation across the spares portfolio to drive supply chain optimization and resiliency. Architect RFQ/RFP strategies for large-scale, multi-commodity, or multi-year engagements, lead the most complex negotiations, and coach sourcing engineers and managers on negotiation approach. Develop and drive multi-year cost roadmaps for NPI, sustaining, EOL, and multi-source initiatives, using should-cost modeling, total cost of ownership analysis, and benchmarking to identify structural cost reduction while ensuring continuity of supply. Build executive-ready business justifications and lead leadership decision-making on significant investments and trade-offs, including tariffs, import/export compliance, and inventory consumption. Design scalable sourcing processes, data, and decision frameworks (including AI-enabled tooling and analytics) that raise the effectiveness and speed of the broader sourcing team. Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 7+ years of technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience OR equivalent experience. Doctorate in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years of technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 12+ years technical engineering experience OR equivalent experience Bachelor's degree in Business, Supply Chain Management, Operations Management, Supply Chain Analytics, or related field and 10+ years supply chain operations, cost optimization with suppliers, sourcing and manufacturing, or related experience OR Master's degree in Business, Supply Chain Management, Operations Management, Supply Chain Analytics, or related field and 8+ years supply chain operations, cost optimization with suppliers, sourcing and manufacturing, or related experience. 7+ years of experience in Cloud or High-tech supply chain Demonstrated experience translating long-range demand, technology roadmaps, or commercial commitments into multi-year sourcing strategies and supplier capacity plans Experience building or transforming sourcing or supply chain operating models across multiple commodities, suppliers, or geographies Proven ability to solve complex, ambiguous problems with structured thinking, sound judgment, and durable, scalable solutions Excellent influencing and executive communication skills, with the ability to build relationships across multiple layers of the organization and with supplier leadership Deep analytical capabilities and ability to synthesize data to influence leadership decision making Strong understanding of data center hardware technologies, including product roadmaps and transitions Expertise with various business tools (e.g. Word, Excel, Power BI, PowerPoint) AI Hardware Proficiency