SAP IBP Lead

CrackaJack Digital Solutions LLC

• $120K — $150K *
Houston, TX 77084In-Person
Enterprise Technology
8 - 10 years of experience
1 week ago
Job Overview by Ladders

Qualifications

  • 8+ years of SAP Supply Chain experience
  • 3+ years leading enterprise-scale SAP IBP implementations
  • Hands-on mastery of IBP Planning Areas and complex Key Figures
  • Deep understanding of multi-echelon inventory theory
  • Proven experience with CI-DS or CPI-based data integration

Responsibilities

  • Architect and configure SAP IBP-DP and IBP-IO modules end-to-end
  • Design complex statistical forecasting models and Demand Sensing frameworks
  • Implement multi-stage safety stock optimization engines
  • Map data pipelines and integration strategies with S/4HANA
  • Translate executive business requirements into scalable technical roadmaps

Benefits

  • Collaborative and dynamic work environment
  • Opportunities for professional development and training
  • Access to cutting-edge technology and tools
  • Engagement in strategic supply chain initiatives
Full Job Description
SAP IBP - Inventory Optimization & Demand Planning Lead
Houston, TX (Onsite)

KEY RESPONSIBILITIES
  • Architect and configure SAP IBP-DP and IBP-IO modules end-to-end.
  • Design complex statistical forecasting models, ABC/XYZ segmentation, outlier correction, and Demand Sensing frameworks.
  • Implement multi-stage safety stock optimization engines across global supply networks.
  • Map data pipelines and integration strategies via CI-DS / CPI-DS / RTI with S/4HANA.
  • Translate executive business requirements into highly scalable technical roadmaps.
REQUIRED QUALIFICATIONS
  • 8+ years of SAP Supply Chain experience, with 3+ years explicitly leading enterprise-scale SAP IBP implementations.
  • Hands-on mastery of IBP Planning Areas, Attributes, Master Data Types, and complex Key Figures for both DP and IO.
  • Deep understanding of multi-echelon inventory theory, safety stock calculation, and statistical forecasting.
  • Proven track record with CI-DS, CPI-DS, or CPI-based data integration.
* Ladders Estimates

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