SAP APO Functional Raritan, NJ - NJ - New Jersey

Job Title : Senior SAP APO SCM Functional Consultant

Location : Raritan, NJ

Contract

SKILL

SAP Advanced Planning & Optimization (APO)

AI SUG KEY SKILLS

SAP APO Demand Planning Supply Network Planning Integration Forecasting

AI SUG INTERVIEW QUESTIONS

Can you describe your experience with SAP APO implementations? How do you approach demand planning in SAP APO? What methods do you use for data reconciliation between APO and ERP? Can you explain your process for configuring supply network planning? How do you ensure the quality of forecasts in your projects?

ADDN NOTES

JOB DESCRIPTION

Role Descriptions: Led end-to-end SAP APO implementationssupport across DP, SNP, PPDS, and GATP from requirement gathering through design, configuration, testing (UTSITUAT), cutover, and hypercare. Conducted business workshops to map planning and fulfillment processes, documented AS-ISTO-BE flows, and translated requirements into functional designs and configuration workbooks. Built and stabilized APO ERP integration using CIF by creatingmaintaining integration models, monitoring and troubleshooting qRFC queues, and performing data reconciliation between APO and ERP. Ensured APO master data readiness and governance, including products, locations, resources, calendars, planning horizons, transportation lanes, quota arrangements, and PDSPPM structures. Configured SAP APO Demand Planning (DP) planning areas, key figures, planning levels, time series settings, and versions aligned to S&OPconsensus demand processes. Implemented and tuned DP statistical forecasting (model selectionparameters), managed outliers and intermittency, and developed macros to support forecast adjustments and exception-based planning. Defined forecast validation approach and improved forecast quality using KPIs such as bias and MAPE, partnering with business users to drive adoption of standard planning practices. Configured SAP APO Supply Network Planning (SNP) for multi-echelon supply networks, including sourcing, lead times, lot sizing, safety stock inputs, and constraint handling. Executed and tuned SNP planning runs (heuristics andor optimizer where applicable), analyzed results, and refined planning logic to balance service levels, inventory, and capacity feasibility. Implemented SNP deployment and replenishment logic and (where required) Transport Load Builder (TLB) to support shipment consolidation and executable supply plans. Configured SAP APO PPDS for finite scheduling and detailed sequencing, including capacities, modes, setup times (including sequence-dependent setups if used), and pegging strategies. Maintained PPDS PDSPPM alignment with ERP BOMroutingsproduction versions and ensured correct order creationtransfer for planned orders and productionprocess orders. Supported planners using PPDS heuristics and the DS Planning Board to resolve bottlenecks, improve schedule adherence, reduce changeovers, and manage exceptions. Configured SAP GATP check strategies and Rules-Based ATP (RBA) to improve confirmation accuracy and align order promising with real supply and business priorities. Implemented and supported Backorder Processing (BOP) to reprioritize demand and re-confirm orders based on configurable rules (priority customers, requested dates, allocation policies). Set up product allocationsubstitution logic (as applicable) to manage constrained materials and improve service to strategic customers while maintaining policy compliance. Developed functional specifications for enhancements and interfaces, coordinated with ABAPtechnical teams, and validated developments against business scenarios. Created operational runbooks, monitoring procedures, and job schedules for planning runs and CIF health checks improved stability and reduced recurring production incidents. Delivered end-user training, SOPs, and knowledge transfer to support teams, improving planner adoption and reducing dependency on IT. Performed root-cause analysis for planning result issues (incorrect pegging, missing receipts, CIF errors, master data gaps) and drove corrective actions through change management.