Kinaxis RapidResponse Technical Consultant

Responsibilities

• Design, configure, and maintain Kinaxis RapidResponse data models, including Items, Locations, BOMs, Resources, and Calendars.
• Develop and optimize measures, expressions, planning logic, exception logic, alerts, scenario planning, comparisons, and time-phased planning views.
• Ensure model performance, scalability, and maintainability.
• Support and enhance integrations between Kinaxis, SAP S4HANA, manufacturing systems, and master data systems.
• Work with IT integration teams on data mappings, transformations, full and delta data loads, refresh cycles, and latency management.
• Perform data validation, reconciliation, and root-cause analysis of data issues.
• Design and configure technical workspaces, dashboards, and tables for supply planners, capacity planners, management, and executive users.
• Ensure workspaces are performance-optimized, exception-driven, and easy to troubleshoot and explain.
• Support Unit Testing, System Integration Testing (SIT), User Acceptance Testing (UAT), cutover, go-live, and hypercare activities.
• Troubleshoot complex planning, data, and performance issues and provide ongoing system support and continuous improvement.
• Configure and maintain demand data models, including independent and dependent demand, forecast and actual demand measures, and customer, product, and location hierarchies.
• Design and maintain forecast measures, statistical forecast inputs, adjusted and consensus forecasts, forecast versioning, and scenario comparisons.
• Implement forecast consumption logic and configure time-phase logic across historical, near-term, mid-term, and long-term forecasting horizons.
• Build and optimize forecast accuracy and bias measures and design demand-related exception logic.
• Support what-if simulations for demand changes and assess downstream supply and capacity impacts.
• Configure supply planning measures supporting planned supply, inventory, and supply response to demand changes.
• Implement and optimize constraint-based planning logic for capacity, material availability, and lead-time feasibility.
• Design supply prioritization, allocation, pegging, shortage identification, root-cause analysis, and time-phased supply views.
• Design and tune supply exceptions and support supply what-if scenarios, including alternate sourcing, expediting, and inventory burn-down.
• Optimize calculation dependencies between demand, supply, and inventory measures.
• Identify and resolve circular dependencies and performance bottlenecks.
• Tune expressions for large planning horizons and high-volume item/location combinations.
• Ensure demand and supply planning logic scales across multi-site, multi-product, and global planning models.

Requirements

• Strong experience with Kinaxis RapidResponse configuration, data modeling, measures, expressions, planning logic, and performance optimization.
• Solid understanding of supply planning, capacity and constraint-based planning, and inventory planning.
• Ability to translate business planning requirements into technical Kinaxis configurations.
• Experience configuring demand planning, forecasting, forecast consumption, and scenario planning capabilities.
• Experience configuring supply planning, constraint management, allocation, pegging, and exception management processes.
• Experience supporting integrations between Kinaxis and enterprise systems, including SAP S4HANA.
• Experience with data mappings, transformations, data validation, reconciliation, and root-cause analysis.
• Understanding of ERP master data structures, planning versus execution data, and data governance principles.
• Experience working with SAP PP, MM, APO, or IBP is preferred.
• Experience supporting testing activities, including SIT and UAT.
• Experience in semiconductor or high-tech manufacturing is preferred.
• Kinaxis RapidResponse Certification is preferred.
• Experience supporting global or multi-site planning models is preferred.
• Exposure to planning tools such as APO, IBP, O9, or Blue Yonder is an advantage.
• Strong analytical and structured problem-solving skills.
• Ability to explain complex technical concepts to business users.
• High attention to detail and commitment to data accuracy.
• Ability to work effectively in a global, matrixed organization.
• Proactive mindset with a focus on ownership and continuous improvement.