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Vrinda International

Vrinda International

SAP MM Consultant

Bengaluru, INSur siteContratTemps plein

Publié 17 sept. 2026

Cet emploi est publié en EN

SAP MM Consultant

Location: Bengaluru (BDC14A)

Experience: 6–8 Years

CTC: ₹17 LPA

Work Mode: On-site/Hybrid as per project

Education: 15 Years Full-Time Education

ROLE OVERVIEW

We are looking for an experienced SAP MM professional to configure and optimize Materials Management processes, support end-to-end delivery, and leverage AI-assisted tools for faster analysis, testing and documentation.

KEY RESPONSIBILITIES

  • Configure SAP MM processes including P2P, PR/PO, Source List, Quota Arrangements, Vendor Management and Inventory Management.
  • Handle Material Master, Goods Movements, Release Strategies and Pricing.
  • Support requirements, solution design, configuration, SIT/UAT, deployment and hypercare.
  • Integrate SAP MM with SD, FI, PP and QM using standard interfaces, IDocs and APIs.
  • Use AI copilots/tools for requirement analysis, documentation, test case creation and troubleshooting.
  • Ensure procurement governance, data quality and operational controls.
  • Collaborate with procurement, warehouse, finance and integration teams.

REQUIRED SKILLS

  • Strong SAP MM configuration and P2P knowledge.
  • PR/PO processing, Material Master, Vendor Master and Inventory Management.
  • Release Strategies, Pricing, Goods Movements and troubleshooting.
  • SAP MM integration with SD/FI/PP/QM.
  • Experience with AI-assisted productivity tools is preferred.
  • Strong analytical and communication skills.

Aperçu du poste

Type de poste

Temps plein

Compétences requises

SAP MM configuration (P2P)Purchase Requisition / Purchase Order (PR/PO) processingMaterial Master managementVendor Master managementInventory Management and Goods MovementsRelease Strategy and Pricing in SAP MMSAP MM integration with SD, FI, PP and QMIDoc and API-based integration troubleshootingSolution design and end-to-end delivery (SIT/UAT, deployment, hypercare)Procurement governance, data quality and operational controlsUse of AI-assisted tools/coprocessors for analysis, testing and documentationAnalytical skills (requirements analysis, troubleshooting)Stakeholder collaboration and communication (procurement, warehouse, finance, integration teams)

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