SAP IBP Demand Planning Lead
Intone Networks
United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Microsoft Excel
SAP APO
SAP (Applications)
Model Validation
Sap Fiori
Job description
We are seeking a SAP IBP Demand Planning Lead for a 12-month contract position (remote). This role offers the opportunity to lead demand planning initiatives and support the implementation and optimization of SAP Integrated Business Planning for Demand across the organization.
Responsibilities
- Lead demand planning strategy and execution using SAP IBP for Demand
- Configure and manage planning levels, key figures, forecast models, and planning views within SAP IBP
- Guide full-lifecycle SAP IBP for Demand implementations
- Develop and apply statistical forecasting methodologies, including seasonality analysis, model selection, and outlier treatment
- Monitor and optimize forecast accuracy using metrics such as MAPE, WMAPE, and bias analysis
- Support end-users with the SAP IBP Excel add-in and Fiori planning applications
- Communicate forecasting concepts and best practices clearly to business stakeholders and cross-functional teams
Requirements
SAP, Demand Forecasting/Planning, SAP, Business Plan, Demand Forecasting/Planning, Strategic Planning, Forecasting, Analysis Skills, Metrics, Help Desk, * Required
- 5+ years of SAP demand planning experience, including SAP IBP for Demand and/or SAP APO DP
- Experience with at least two full-lifecycle SAP IBP for Demand implementations
- Strong knowledge of statistical forecasting fundamentals, including seasonality, model selection, outlier treatment, MAPE, WMAPE, and bias
- Hands-on experience configuring IBP planning levels, key figures, forecast models, and planning views
- Practical experience with the SAP IBP Excel add-in and Fiori planning applications
- Strong client-facing and communication skills with the ability to explain forecasting concepts clearly to business users
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