Senior Supply Chain Manager

This role is designed as onsite with expectation that you will primarily work from an HPE office. Job Overview Job: Supply Chain & Operations Job Level: Expert Key Responsibilities Strategic Leadership & Analytics Execution Develop and implement end-to-end analytics strategies to improve partner claims management, cost savings, and supply chain resilience. Drive large-scale analytics programs that leverage automation, machine learning, and predictive analytics to optimize supply chain operations. Review partner claims and validate the accuracy, looking for spend that is either unapproved, miscategorized or out of scope. Partner with senior leadership and cross‑functional teams to align analytics‑driven strategies with business objectives. Data-Driven Decision Making & Innovation Establish, track, and continuously refine key performance indicators (KPIs) and operational metrics to measure success and drive improvements. Provide insights into spend, including trends, forecasts and outliers. Provide feedback and guidance around category spend, drivers and opportunities for improvement. Identify, evaluate, and implement emerging technologies and best practices in supply chain analytics. Stakeholder Management & Influence Act as a trusted advisor to senior stakeholders, supply chain leaders, and cross‑functional teams, providing data-backed insights to drive business strategy. Influence executive decision‑making by translating analytical findings into compelling business recommendations. Drive cross‑functional collaboration, ensuring seamless integration of analytics with supply chain planning, operations, and finance teams. Team Leadership & Development Serve as local lead for team, interfacing with relevant stakeholders and taking ownership/responsibility for medium to high complexity projects. Establish and enforce best practices for data analysis, model development, and reporting to ensure high-quality, actionable insights. Assist with development of junior staff, including providing feedback to the Team Manager and suggestions to individuals on areas to improve or develop new skills. Process Optimization & Automation Identify and address process inefficiencies, leveraging automation and AI‑driven solutions to enhance scalability and reliability. Drive initiatives to streamline data pipelines, improve data quality, and enhance real‑time analytics capabilities. Develop standardized frameworks for analytics execution, ensuring consistency and repeatability across the organization. Qualifications Bachelor’s or Master’s degree in computer science, Data Science, Supply Chain Management, Operations Research, or a related field. 8+ years of experience in supply chain analytics, category management, or ERP system management. Strong background in statistical modelling, predictive analytics, and process optimisation. Proven ability to lead cross‑functional teams, influence stakeholders, and drive organisational change through data‑driven insights. Experience working in a fast‑paced, global supply chain environment. Preferred Qualifications Advanced degree (Master’s) in a related analytical field. Strong project management skills, with the ability to oversee multiple initiatives simultaneously. High attention to detail and ability to identify errors and outliers in large datasets. Expertise in data modelling, data pipeline development, and automation techniques. Advanced communication and storytelling skills to translate data insights into strategic business recommendations. Benefits Health & Wellbeing: comprehensive suite of benefits supporting physical, financial and emotional wellbeing. Personal & Professional Development: specific programmes tailored to help employees reach career goals and apply skills across divisions. Unconditional Inclusion: inclusive work environment celebrating individuality and flexibility. Compensation Annual Salary USD 92,700 - 175,700 in Massachusetts // 92,700 - 187,500 in California // 81,500 - 187,500 in Texas. EEO Statement HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are based on qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers in an inclusive environment. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. For employee benefits information, visit #J-18808-Ljbffr