SAP PP Production Planning & Control Discrete Industries
Summary
An SAP PP functional consultant (5-10 years) who configures and supports production planning for discrete manufacturing — MRP, production orders, BOMs/routings, capacity planning — and integrates PP with MM, QM, SD, FI/CO and MES across full lifecycle delivery. The role emphasizes using AI copilots to speed up specs, testing, and documentation.
We are hiring for MNC company
Role & responsibilities
Functional & Technical Delivery
- Configure and support SAP PP processes including:
- Material Requirement Planning (MRP)
- Production Orders & Execution
- Routings, Work Centers & BOM Management
- Capacity Planning & Scheduling
- Backflushing & Costing Integration
- Goods Movements & Shop floor Reporting
- Use AI copilots to accelerate:
- Functional specification creation
- Routing/BOM validation
- Test case generation for MRP, order creation, confirmations
- Documentation automation (FS/TS/SOPs)
- Support full lifecycle delivery: requirements, design, configuration, SIT/UAT, deployment, hypercare support.
- Integrate PP with MM, QM, SD, FI/CO, and shop floor systems (MES), leveraging standard APIs and middleware.
AI Assisted Productivity
- Use AI copilots for:
- Automated summarization of requirements and change impacts
- Analysis of MRP exceptions and planning alerts
- Validation of order execution and production variances
- Faster defect isolation in BOM/routing/work center configurations
- Integrate pre built AI services into production workflows, such as:
- Predictive insights (e.g., potential material shortages or order delays)
- Intelligent classification of production issues
- Automated summarization of production batch deviations
- Smart suggestions based on historical production performance
- Use LLM assisted troubleshooting to reduce time spent analyzing MRP exception messages, order failures, and material shortages.
Governance, Quality & Collaboration
- Ensure compliance with production governance, change controls, data accuracy standards, and audit policies.
- Participate in workshops, solution reviews, and process optimization discussions enhanced by AI generated insights.
- Collaborate with production, quality, warehouse, procurement, cost controlling, and integration teams to deliver end to end planning excellence.
- Create reusable templates, checklists, test packs, and AI enabled best practices for SAP PP delivery.
Required Skills & Experience
SAP PP Expertise
- Strong understanding of discrete manufacturing processes including BOM/routing management, production order cycles, capacity planning, scheduling, and MRP.
- Experience with integration across MM (material availability), QM (inspection lots), SD (demand), and FI/CO (costing).
- Familiarity with order confirmations, settlements, and shop floor data capture processes.
AI Ready Skills
- Ability to use AI copilots, automated documentation tools, and AI assisted test accelerators.
- Comfortable embedding pre built AI capabilities into production planning or execution (not custom model building).
- Awareness of responsible AI usage and limitations in manufacturing and planning environments.
General Professional Skills
- Strong analytical and problem solving skills related to production variability, MRP outcomes, and resource planning.
- Ability to translate manufacturing requirements into scalable SAP PP configurations.
- Strong communication and collaboration skills across technical and operational teams.
- Continuous learning mindset with comfort adopting AI assisted workflows.
Good to Have
- SAP PP Certification (S/4HANA Manufacturing).
- Experience with MES systems, shop floor integrations, or IoT enabled production data.
- Exposure to EWM/WM, PM, or APO/IBP environments.
- Familiarity with automated testing tools (Tricentis, CBTA).
Outcome Expectations
- Deliver faster, more reliable SAP PP solutions using AI enabled productivity tools.
- Improve planning accuracy, resource utilization, and production stability.
- Act as a bridge between manufacturing teams, SAP engineering teams, and AI native experts when deeper AI capabilities are required.
Additional Information
- A 15 years full time education is required.