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Position: SAP IBP OBP Lead
Location: Santa Clara, CA
Duration: Full Time or Contract
Travel: Open to resources willing to travel Mon–Thu or Tue–Thu to Santa Clara
Job Description:
SAP IBP Order-Based Planning (OBP) Solution Lead is a senior-level expert responsible for designing end-to-end supply chain planning solutions specifically within the Order-Based Planning module of SAP Integrated Business Planning (IBP).
Role Overview
The Lead acts as a bridge between complex business planning requirements and technical system execution, ensuring that supply chain strategies—such as Response & Supply and Real-Time Integration (RTI)—are scalable and aligned with best practices.
Key Responsibilities
Solution Design: Lead the architectural blueprinting for IBP-OBP, including planning areas, master data, and key figure calculations.
Real-Time Integration (RTI): Design and govern data flows between SAP IBP and SAP S/4HANA or ECC using RTI or Cloud Integration for Data Services (CI-DS).
Planning Execution: Configure and optimize algorithms for Response Management, Allocation Planning, and tactical supply planning (Heuristics/Optimizers).
Stakeholder Management: Facilitate "Fit-to-Standard" workshops with senior leadership to translate business goals into technical requirements.
Quality Assurance: Define testing strategies for Unit, SIT, and UAT phases, and oversee the successful cutover to production.
Required Skills & Qualifications
Technical Expertise: Deep knowledge of Order-Based Planning (OBP), RTI, harmonized planning areas, and the SAP IBP Excel add-in.
Experience: Typically requires 10+ years of SAP experience, with at least 3-5 full lifecycle implementations of SAP IBP.
Integration Knowledge: Proven ability to integrate SAP IBP with other modules like Advanced ATP (aATP) and Production Planning and Detailed Scheduling (PP/DS).
Certifications: An SAP IBP Certification or Solution Architect certification is highly preferred.
Process Knowledge: Strong understanding of end-to-end supply chain planning, including S&OP, Demand Planning, and Inventory Optimization.
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