SAP Consultant - Supply Chain (APO & IBP)

Description:

SAP Consultant - Supply Chain (APO & IBP)

Creve Coeur, MO 63141

Must work onsite hybrid for the duration of the contract

*Zero exceptions will be made regardless of personal circumstances, this is a company-wide requirement for all employees

Hybrid - 2 Days a week in Creve Coeur office.

We need a SAP Consultant (IPP / APO, Supply Chain Focus)

Looking for a candidate with experience in Supply Chain Planning, IPP, etc.
Come in and understand what the current implementation is already there, do reverse engineering, make changes & how do we do that, etc.

Looking for someone with prior implementation experience who can do hands-on configuration & development. Heavy development.

Profiles have SAP but not APO or IPP / Supply Chain Planning related areas lacking.

Has worked as an end user of the solution but not looking for business users – looking for someone that can do the configuration and take it forward.

Needs this person to come in and look at everything, not fully support – going to be developing a TON in this role.

Also working on Kinaxis, will be involved in that side of the project as well. Understand how it was developed and build in APO / IBP.

SAP APO & IPP REQUIRED, Kinaxis is a nice to have. 

Candidate should have SAP Planning experience. Candidate needs to be able to hit the ground running and do the hands on work. Preferably won't have management experience. If candidate would like to relocate at their own expense he will be willing to look at out of town candidates.

Looking for a candidate who configures, implements, maintains and upgrades Enterprise Resource Planning (ERP) application modules (e.g., Human Resources, Finance, Supply Chain Management). Analyzes user requirements to determine ERP system configuration and customization. Provides ongoing ERP system support. May be involved in the requirements definition and software vendor selection phase.

Role:
The successful consultant in the area of SAP APO/IBP candidate will work within the high-performance Supply Chain Planning & Manufacturing IT Team. Exceptional teamwork is critical to the success of the individual and the achievement of business results.

Responsibilities:

• Work closely with Supply Chain, Manufacturing, and Analytical teams to understand business processes and planning requirements.
• Collaborate with the Bayer Business Network to develop and support enterprise planning solutions that reduce operating costs and improve supply chain performance.
• Lead the planning, design, configuration, testing, training, and deployment of SAP APO modules (DP, SNP, PP/DS) and SAP IBP capabilities (Demand, Supply, Inventory, S&OP, Control Tower).
• Provide production support for global planning and manufacturing operations using APO, including integrations with MES, ECC/S4, and external systems.
• Configure and maintain APO/IBP master data: BOMs, resources, PDS/PPM, location-product, classifications, and batch-related structures.
• Develop and maintain interfaces between APO/IBP and ECC/S4 using CIF, OData services, and integration middleware.
• Drive continuous improvement initiatives and enhance planning capabilities across global manufacturing sites.
• Create Functional Design Specifications and detailed documentation to support custom enhancements, BI/Analytics, and performance improvements.
• Partner with FI/CO, MM, PP, QM, Security, Basis, ABAP, and Operations teams to resolve technical and process issues.
• Troubleshoot integration issues between SAP APO/IBP and ECC/S4 (MM, PP, SD, FI/CO).
• Identify process improvement opportunities using new SAP functionalities and optimization methods.
• Research and apply SAP OSS Notes and best practices to maintain system reliability and performance.

Required Skills & Qualifications

• Minimum 8 years hands-on SAP APO configuration experience (DP, SNP, PP/DS) or SAP IBP experience (Demand, Supply, Inventory, S&OP).
• At least 2 full lifecycle APO and/or IBP implementations.
• Expertise in APO functionalities such as statistical forecasting, SNP heuristics/optimization, PP/DS detailed scheduling, supply heuristics, and inventory optimization.