SAP APO SNP Lead

Hucon Solutions; Hyderabad, Pune District, Bengaluru; Hybride; INR 2 000 000 - 4 000 000; Plein temps

Résumé du poste

Hucon Solutions in India is seeking an experienced SAP APO SNP Lead to drive implementation and ongoing support across PAN India in a hybrid model.

You will implement and customize SAP APO SNP/DP, integrate with SAP ECC via IDocs, develop planning models, and handle change requests while collaborating with supply chain, production, and logistics teams to translate business needs into APO solutions.

Qualifications

• Experience in SAP APO SNP/DP implementations.
• Exposure to SAP ECC integration via IDocs.
• Experience in support projects is mandatory.
• Strong communication with business stakeholders.

Responsabilités

• Implement and configure SAP APO SNP and DP modules.
• Integrate APO with SAP ECC and other systems through IDocs.
• Develop and maintain planning models and heuristics.
• Handle change requests and ensure system stability.
• Understand interfaces connected to SAP systems and ensure data quality.
• Provide end-to-end support for demand planning, supply network planning, and production scheduling.

Connaissances

SAP APO SNP

SAP APO DP

Communication skills

Demand planning

Production scheduling

Outils

SAP ECC

IDocs

Description du poste

Role: SAP APO SNP Lead

Location: PAN India (Hybrid)
Experience: 815 Years (P1 Band)
Notice Period: Up to 30 Days
Project Type: Support Project (Support Experience Mandatory)

Implementation & Configuration

• Configure and customize SAP APO modules (SNP and DP).
• Integrate APO with SAP ECC and other non-ERP systems through IDocs.
• Develop and maintain planning models, heuristics, and deployment.
• Handle change requests.
• Have a good understanding of interfaces connected to SAP systems.
• Possess good communication skills.

Business Process Support:

• Work closely with supply chain, production, and logistics teams to gather requirements.
• Translate business needs into APO solutions.
• Provide end-to-end support for demand planning, supply network planning, and production scheduling.