ABOUT THE ROLE
This is a hands-on Consultant / Subject Matter Expert engagement supporting an enterprise client’s live SAP IBP Demand workplace. The scope covers configuration, enhancement and troubleshooting across statistical forecasting, demand sensing and consensus demand processes, integrated with SAP S/4HANA, ECC, APO and BW via CPI-DS.
This is not a solution architecture or programme leadership role. The client’s technical evaluation is deliberately hands-on: candidates are tested on configuration detail — specific profiles, methods and fields — rather than on approach, governance or stakeholder management. Candidates who answer at a design-authority level, however experienced, have not converted at this client.

CRITICAL DIFFERENTIATOR — READ BEFORE SUBMITTING
"SAP IBP" as a bare CV skill line is not enough for this client. Every submission must show module-level detail: which specific IBP Demand modules the candidate has configured (Demand Planning, Demand Sensing, S&OP;), what they personally built — forecast model structure, outlier correction settings,



key figure and attribute configuration, realignment rules — and how recent that hands-on work is.
Profiles that read as broad SAP planning experience without demand-specific configuration depth are being filtered out at interview regardless of total years of experience. Do not submit on the strength of a skill tag alone — confirm module-level depth at pre-screen first.

TECHNICAL SKILLS REQUIRED
Core — Mandatory:
Deep, recent hands-on SAP IBP Demand Planning experience, from named production projects
Statistical forecasting model configuration: full model structure (pre-processing, forecasting, post-processing), model selection logic, and forecast error measures (MAPE, bias, forecast value added)
Outlier correction configuration, including handling genuine seasonal peaks without losing real demand signal
Key figure and attribute configuration: attribute transformation versus attribute as a key figure, and

📌 SAP IBP Consultant (India)
🏢 FinTribes
📍 India