Job Description

Company Description
Masters India, 44 year old group, which is into Manufacturing, Healthcare, Hospitality and IT with an aggregate turnover of INR 1000+ crores. We are expanding rapidly and are, therefore, looking for leaders to help the company achieve its goals. We are expanding rapidly and are, therefore, looking for leaders to help company achieve its goals.

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
Qualifications
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

Skills Required