Description
The Spares Sourcing Intelligence Manager role is critical within the Global Logistics & Spares Supply Chain Sourcing organisation, responsible for owning spare parts sourcing and supply assurance intelligence for HPE's enterprise hardware portfolio, including servers, storage, and networking products.
This role enables fact-based sourcing, supply assurance, and shortage mitigation decisions by delivering deep intelligence across spare parts commodities, supplier performance, kitting & repair operations, and end-to-end supply chain drivers.
Key Responsibilities
- Spare Parts Sourcing Intelligence: Own sourcing intelligence for critical spare parts commodities and their Kitting / repair services for 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.
- Supply Assurance & Shortage Intelligence: 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.
- Commercial & Supplier Performance Analytics: 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.
- Kitting & Network 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.
- Digital Enablement & Continuous Improvement: 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.
- Stakeholder Collaboration: Work closely with Sourcing, Supply Assurance, Operations, Finance, and Digital teams to align intelligence with business priorities and execution needs.
What You Need to Bring
- Qualifications & Experience: 8-12 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.
- Ability to convert complex supply chain data into clear, actionable recommendations for senior stakeholders.
- Analytical & Technical Skills: 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) preferred.
- Familiarity with AI-enabled analytics concepts and digital transformation initiatives is a plus.
- Professional Attributes: Strong stakeholder management and communication skills, with the ability to influence sourcing and operations leaders.
- Structured, detail-oriented thinker with a strong problem-solving mindset.
- Comfortable working in a fast-paced, global environment across time zones.
- Curious, proactive learner with a passion for analytics-driven supply chain improvement.