Principal Analyst, Supply Chain Planning

Analog Devices is seeking a Principal Analyst in Fab Supply Chain Planning to shape front-end planning strategy, build scalable capabilities, and drive cross-functional execution across our manufacturing network. This role combines deep semiconductor domain expertise, advanced analytical leadership, and data-driven decision-making to improve customer commitments, wafer starts, work-in-process, cycle time, capacity, and service performance in a complex fab environment. 

Position Summary 

As the Functional Architect for Order Promiser and Enterprise Supply Planner, you will lead the design of fab-focused planning capabilities across ADI’s front-end manufacturing network, translating business priorities into planning logic, system designs, and data science-driven decision frameworks that improve factory performance. 

Key Responsibilities: 

Strategic Transformation & Value Delivery 

• Lead fab supply chain planning initiatives that improve customer commit performance, forecast accuracy, inventory, capacity utilization, wafer starts, and cycle time. 

• Standardize fab-planning processes, decision rules, and governance across business units, manufacturing sites, and regions. 

• Lead fab-focused planning across front-end manufacturing by balancing wafer starts, work-in-process, cycle time, tool loading, and capacity constraints to support business priorities and factory performance. 

Functional Architecture Leadership 

• Serve as the functional architect for advanced planning capabilities across Order Promiser, Enterprise Supply Planner, and related factory planning processes. 

• Own the end-to-end functional design and ensure alignment across planning processes and execution systems. 

• Define and govern fab planning capabilities that connect demand signals to front-end manufacturing execution, including wafer start planning, capacity scenario modeling, and constraint-based prioritization across internal and external fabs. 

Process Design & System Logic 

• Define planning logic for prioritization, allocation, pegging, capacity modeling, wafer starts, and release strategies. 

• Translate business needs into scalable system configurations and design specifications. 

• Develop planning logic for fab-focused supply chain decisions, including start timing, lot release, bottleneck management, and tradeoff analysis between service, cycle time, and factory loading. 

Cross-Functional Integration 

• Partner with IT and engineering teams to integrate planning capabilities with SAP, MES, and planning platforms such as Blue Yonder. 

Ensure strong alignment between planning outputs and execution realities across the manufacturing network. 

Change Management & Adoption 

• Lead change management to support deployment, stakeholder alignment, training, adoption, and post-implementation performance tracking. 

Drive sustained behavioral and process change across global teams.​ 

Analytics, Reporting & Continuous Improvement 

• Define reporting frameworks and dashboards to monitor planning effectiveness, wafer starts, work-in-process health, cycle time, capacity utilization, and constraint risk. 

• Apply advanced data science methods to fab planning problems, including predictive modeling, scenario analysis, constraint risk detection, and decision-support analytics for wafer starts, cycle time, and capacity optimization. 

• Leverage data and analytics to identify gaps and continuously improve system performance and decision-making. 

Talent Development & Leadership 

• Mentor analysts and functional leads while building organizational capability in advanced planning systems and supply chain analytics. 

Quality & Governance 

• Lead functional validation, design reviews, and testing oversight to ensure solution integrity and performance. 

• Establish governance around planning logic, data quality, and process adherence. 

Qualifications: 

Functional Expertise 

• Deep expertise in semiconductor supply chain and manufacturing, including front-end wafer fabrication, back-end interdependencies, and the impact of cycle time, yield, and capacity constraints on supply commitments. 

• Proven track record leading large-scale planning system transformations in semiconductor or similarly complex high-mix, high-variability manufacturing environments. 

• Strong experience in fab-focused planning, including capacity planning, wafer start management, work-in-process orchestration, and constraint-based decision-making. 

• Extensive experience applying data science, statistical modeling, and advanced analytics in semiconductor fab environments to improve planning quality, cycle time, capacity decisions, and operational performance. 

Technical & Systems Expertise 

• Strong understanding of planning system architecture and integration with execution systems in fab environments. 

• Working knowledge of fab operations, front-end manufacturing data flows, and the integration points between planning systems and shop floor execution environments. 

• Hands-on experience with advanced planning platforms such as Blue Yonder or equivalent. 

• Strong technical background in data science tools and methods relevant to fab analytics, such as statistical analysis, predictive modeling, optimization, and large-scale manufacturing data interpretation. 

Leadership & Influence 

• Strong leadership presence with the ability to influence senior stakeholders. 

• Proven ability to drive alignment across cross-functional and global teams. 

• Excellent communication and executive presentation skills. 

• Analytical, structured problem-solving mindset with attention to detail. 

Minimum Requirements 

• Education: PhD in Engineering, Data Science, Operations Research, Industrial Engineering, Computer Science, Applied Mathematics, or a related technical field is required. 

• Experience: 12+ years in supply chain, planning systems, analytics, or transformation roles, including significant experience in semiconductor manufacturing and planning environments. 

• Extensive experience in semiconductor fab environments is required, including direct experience applying data science and advanced analytics to fab planning, wafer start management, capacity planning, work-in-process optimization, or factory planning in complex global operations or process control.