Staff/Principal Engineer, FE Global Warehouse – Network Optimization, Systems & Data Product Owner

Key Responsibilities

• Own global warehouse network capacity planning models and optimization strategy.

• Define capacity triggers, warehouse sizing methodologies, and long-term network planning requirements.

• Lead warehouse automation strategy including ASRS, AMR, AGV, robotics, and automated material handling solutions.

• Build and validate business cases for warehouse automation and technology investments.

• Serve as Product Owner for global warehouse systems and data platforms.

• Lead SAP S/4HANA warehouse readiness, implementation support, testing, and adoption activities.

• Own enterprise warehouse KPI architecture, dashboards, and reporting products.

• Provide governance for integration between SAP, warehouse automation, MES, and execution systems.

• Establish warehouse data governance standards, master data alignment, and single-source-of-truth principles.

• Drive root-cause analysis and data quality improvements across global warehouse systems.

• Develop network optimization dashboards and predictive analytics to support investment decisions.

• Partner with IT, Enterprise Architecture, Automation Engineering, and Site Operations to define future state warehouse capabilities.

• Lead strategic warehouse network studies including warehouse sizing, storage strategy, automation maturity, labor productivity, and throughput optimization.

• Facilitate global workshops to align warehouse strategy, capacity assumptions, and systems roadmaps.

• Present warehouse network strategy, systems roadmap, automation plans, and performance improvements to leadership and governance forums.

• Drive adoption of Artificial Intelligence-powered analytics, predictive modeling, and digital decision-support capabilities to improve warehouse network optimization, capacity planning, and operational performance.

• Evaluate opportunities to incorporate AI into warehouse systems, automation strategies, reporting platforms, and business intelligence solutions.

• Mentor engineers and site teams on warehouse technology, data analytics, optimization methods, and systems best practices.

Requirements :

• Bachelor's degree in Industrial Engineering, Information Systems, Supply Chain, Computer Science, Manufacturing Engineering, or related field.

• 5+ years experience in warehouse operations, systems, SAP implementations, network design, automation, analytics, or supply chain engineering.

• Experience with SAP S/4HANA, SAP WM/EWM, warehouse management systems, or enterprise supply chain applications.

• 5+ years Semiconductor manufacturing experience.

• Experience integrating SAP with automation platforms.

• Warehouse network design and capacity planning expertise.

• Digital transformation and enterprise product ownership experience.

• Knowledge of Lean, Six Sigma, and continuous improvement methodologies.

• Strong analytical, modeling, and data governance skills.

• Experience with Power BI, SQL, analytics platforms, and dashboard development.

• Experience evaluating automation technologies and material handling solutions.

• Strong stakeholder management and global leadership experience.