Role Overview:

We are looking for a detail-oriented and proactive SCM professional with hands-on experience in machining components sourcing, vendor development, and cost estimation. The ideal candidate should be able to manage supply chain operations for machined parts, ensure timely procurement at optimized costs, and closely coordinate with internal stakeholders and external vendors to support manufacturing efficiency.

Responsibilities:

Machining Procurement:

• Handle end-to-end procurement of machined components, castings, and fabricated parts.
• Understand machining drawings and specifications to identify critical sourcing needs.
• Evaluate vendor capabilities and allocate parts based on quality, lead time, and capacity.

Costing & Estimation:

• Prepare detailed cost estimations for new and existing machined parts.
• Analyze cost breakdowns (material, machining time, labour, overheads).
• Collaborate with design and production teams to suggest cost optimization opportunities.

Vendor Management:

• Develop and maintain relationships with machine shops, foundries, and fabrication vendors.
• Conduct regular vendor audits in coordination with the Quality team.
• Negotiate contracts and annual rate agreements with key suppliers.

Operational Coordination:

• Coordinate with PPC and Production to ensure on-time availability of critical components.
• Monitor supplier performance (OTD, rejection rate, lead time adherence).
• Maintain procurement MIS and report key KPIs to management.

Qualifications & Experience:

• Education: B.E. / B.Tech in Mechanical Engineering or Industrial Engineering.
• Experience: 3-6 years in SCM / Strategic Sourcing, preferably in a machine-building or heavy engineering environment.
• Strong understanding of machining processes, tolerances, and material selection.
• Prior experience in cost estimation of machined parts is essential.

Key Skills:

• Technical reading of machining drawings.
• Costing and pricing analysis.
• Vendor development and negotiation.
• ERP systems (SAP / Oracle preferred).
• Proficiency in MS Excel and data analysis.

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