• Create product planning strategies in collaboration with component planners, OSAT steerers, capacity planners, production planners, engineering, and operations.• Define short & long-term supply plans based on sales and product marketing inputs, forecasted demand analysis, channel and direct sell throughs, and production targets (inventory targets/exposure, supplier commitments, lead times).• Scenario analysis to drive allocation planning in case of demand upsides/downsides and supply shortages.• Partner with global procurement teams to allocate constrained components, ensure aggressive raw material inventory targets are met, and ensure minimal material obsolescence during product transition.• Drive ramp-up/-down plans with NPI managers (incl. master data validation in SAP) and coordinating planned product changes in alignment with Product Marketing, Product Management, Quality Management, and Frontend-/Backend manufacturing.• Improve product planning processes, identify improvement opportunities, marshal resources, evaluate risks, and drive appropriate functional groups to correct.

Ramp-up and Change Management Specialist for Power Sensors Business Division• Ramp-up, Change and Sample Management for a diverse product portfolio with the target to achieve a fast, reliable and cost efficient ramp-up of new and changed products.• Planning, coordination and execution of ramp-up scenarios as well as their transfer to capacity and supply planners after successful production release.• Support NPI management in synchronization between Product, Technology and Package projects to meet overall timelines.• Lead multidisciplinary business circles to minimize customer notifications sent by synchronizing Frontend, Backend, and Product changes.• Coordinate with Marketing and New Product Operations teams to set launch quantities and to ensure smooth product transitions.• Plan, order and maintain WIP targets as well sample stock necessary for ramp-up and change projects as aligned with marketing/customers.

Classification of Customer Ordering Behaviors: Enhancing a Deep Learning Approach in Semiconductor Supply Chains• Classifying customers according to their ordering patterns in a short-term demand forecasting horizon.• Identifying recurrence/periodicities in customers' ordering patterns in a long-term demand forecasting horizon.

• Examining supply chain performance KPIs and their measurements.• Identifying and cataloging root causes for violations in Delivery Performance & Delivery Reliability.

• Business requirement analysis & definition for test strategy development & E2E test execution.• Collaboration with business/project stakeholders for defect management, root-cause analysis, and delivering change requests.