Principal Analyst, Supply Chain Planning
Listed on 2026-06-19
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Supply Chain/Logistics
Logistics Coordination, Change Management, Inventory Control & Analysis
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.
PositionSummary
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.
- 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.
- 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 trade‑off analysis between service, cycle time, and factory loading.
- 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.
- Lead change management to support deployment, stakeholder alignment, training, adoption, and post‑implementation performance tracking.
- Drive sustained behavioral and process change across global teams.
- 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.
- Mentor analysts and functional leads while building organizational capability in advanced planning systems and supply chain analytics.
- Lead functional validation, design reviews, and testing oversight to ensure solution integrity and performance.
- Establish governance around planning logic, data quality, and process adherence.
- 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…
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