Analyst Jobs

About The Position

Requirements

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

Responsibilities

• 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 tradeoff 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.

Benefits

• medical, vision and dental coverage
• 401k
• paid vacation, holidays, and sick time