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SAP PP & Manufacturing Transformation

Job in Cleveland, Cuyahoga County, Ohio, 44101, USA
Listing for: NeerInfo Solutions Pvt. Ltd.
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    SAP Consultant
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
  • 15+ years of SAP experience with deep expertise in SAP PP and end-to-end manufacturing processes. Proven leadership of multiple full-lifecycle SAP implementations, global rollouts, or S/4

    HANA transformation program for manufacturing clients.
  • Strong client-facing consulting capability with the confidence to advise senior stakeholders, facilitate workshops, present best practices, and influence transformation decisions.
  • Deep manufacturing domain capability, with a strong understanding of plant operations, production planning, scheduling, shop-floor execution, quality, inventory, and supply chain interdependencies.
  • Ability to translate manufacturing challenges and business KPIs—such as schedule adherence, throughput, capacity utilisation, inventory, yield, and downtime—into practical process and SAP-enabled improvements.
  • Hands‑on expertise in demand management, MRP, production planning, capacity planning, production orders, confirmations, back flushing, goods movements, and manufacturing master data.
  • Strong knowledge of discrete and repetitive manufacturing; PP-PI experience for process manufacturing environments is desirable.
  • Demonstrated integration expertise across MM, SD, QM, EWM/WM, PM, CO, MES/shop-floor systems, procurement, logistics, and finance.
  • Experience with SAP ECC and S/4

    HANA Manufacturing, including fit-to-standard design, Fiori applications, migration, testing, cutover, deployment, and hypercare.
  • Exposure to SAP BTP, SAP Analytics Cloud, SAP Digital Manufacturing, Advanced Planning, Cloud ALM or Solution Manager, and Service Now is desirable.
  • Understanding of clean-core principles, SAP Activate, process standardisation, automation, embedded analytics, and AI-enabled manufacturing improvement.
  • Excellent executive communication, stakeholder management, consulting, team leadership, problem-solving, and commercial awareness.
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