Principal Analyst, Supply Chain Planning
Job in
Wilmington, Middlesex County, Massachusetts, 01887, USA
Listed on 2026-06-15
Listing for:
Analog Devices, Inc.
Full Time
position Listed on 2026-06-15
Job specializations:
-
IT/Tech
Systems Engineer, Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
US, MA, Wilmington time type:
Full time posted on:
Posted Todayjob requisition :
R262664
** About Analog Devices
** Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible.
Learn more at and on Linked In and X.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…
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