MES System Manager

Wada , India
full-time

AI overview

Lead the implementation and integration of manufacturing software systems, optimize digital workflows, and manage change across departments to enhance operational efficiency.

1. Software Implementation & Integration

  • Lead end-to-end implementation of ERP, MES, CMMS, Quality, and Inventory systems

  • Translate manufacturing workflows into software configurations

  • Integrate machines, weighbridges, scanners, and PLC data with software platforms

  • Ensure seamless data flow between production, stores, QC, finance, and dispatch

2. Manufacturing Process Digitization

  • Map current processes (as-is) and design optimized digital workflows (to-be)

  • Digitize:

    • Production reporting

    • Scrap and yield tracking

    • Furnace / machine logs

    • Maintenance schedules

    • Quality checks and traceability

  • Eliminate manual registers and Excel-based reporting

3. Data & Analytics

  • Design dashboards for:

    • OEE

    • Yield & recovery

    • Energy consumption

    • Downtime and root causes

    • Cost per kg / unit

  • Work with management to define KPIs and MIS structure

4. Vendor & Project Management

  • Coordinate with ERP vendors, system integrators, and automation partners

  • Own timelines, testing, UAT, and go-live activities

  • Control implementation costs and scope creep

5. Change Management & Training

  • Train shop-floor supervisors, engineers, and managers

  • Drive adoption across departments

  • Act as bridge between operators and software teams

6. IT–OT Coordination

  • Work with IT for:

    • Network, servers, cloud, backups, cybersecurity

  • Work with OT teams for:

    • PLC data access

    • Machine connectivity

    • Sensor integrations

Must-Have

  • Strong understanding of manufacturing operations

  • Experience implementing ERP or MES in a factory

  • Ability to read and understand production, QC, and maintenance workflows

  • SQL / Excel / dashboarding skills

  • Vendor and project management capability

Good to Have

  • Experience in metals, casting, machining, process industries

  • Exposure to PLC / SCADA / IoT

  • Python, Power BI, or low-code tools

  • Lean / Six Sigma or industrial engineering background

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