Data Quality Lead

HCLTech is looking for a highly talented and self- motivated Supply Chain & Data AI Analyst to join in advancing the technological world through innovation and creativity. Job Title: Supply Chain Analyst Job ID: 184107 Position Type: Full Time Location: Sunnyvale, CA - Hybrid - 3 days on-site at client location We are looking for a Supply Chain & Data AI Analyst to join a small team of Supply Chain SME's who will be working our client in Sunnyvale, CA. Responsibilities Working with other Supply Chain team members, engage innew product introduction,own the NPI build matrix and build profile - what gets built, where, when, in what config and quantity across all NPI phases. Create weekly build profiles balancing demand, material, capacity/UPH, yield, test constraints Keep the data behind S&OP dashboards and partner feeds (CPFR, partner sell-through, external extracts) correct and on time, including monthly forecast cycle refreshes. Produce demand forecasts and scenarios (High / Mid / Low, monthly vs. weekly versions), S&OP and lifetime values, POR vs. recommended supply, ex-factory, shipped vs. landed supply, PAB and weeks of supply, CM purchase orders Partner with Supply Planner, Materials Planner, Product Ops to lock builds Own component and material readiness for NPI builds. Ensure every part is available at the CM, (right revision, quantity, and time) Own CBOM accuracy and revision control Drive CTB (Clear-to-Build) per build: availability, shortage burn-down Drive CM/JDM capacity planning: allocation and arbitration, line count, UPH, yield ramp, second-source readiness Coordinate 1P vs 2P strategy and allocation during constrained ramp Qualifications Bachelor's or Masters in a related field. 10+ years of experience in Supply Chain new product introduction and planning (supply planning, production planning & or material planning). Strong Supply Chain Process understanding to support across Channel Ops, Supply Planning (sell-in, sell-through, forecasts, inventory, allocation, supply) Strong client facing end-user training experience. Understanding of analytics and document metrics, calculations and dimensions Experience working with Consumer Electronics, Electronics / Hardware companies. (Apple, Microsoft, Amazon, Agilent, HP, Dell, etc..) #J-18808-Ljbffr