Digital Transformation Manager

Polycab

Website: polycab.com
Job details:

Job Purpose:

We are looking for a dynamic professional to drive Smart Factory and Industry 4.0 initiatives across our manufacturing operations. This role blends IIoT, advanced analytics, AI/ML, and business analysis to deliver measurable impact on productivity, quality, and efficiency.

Key Responsibilities:

• IIoT & Data Platforms: Design and implement IoT architecture, manage machine data acquisition, and ensure secure connectivity using OPC‑UA, Modbus, MQTT.
• Industry 4.0 Projects: Coordinate pilots and scale predictive maintenance, machine health monitoring, energy analytics, and efficiency tracking.
• Analytics & AI Integration: Deploy ML models with MLOps (Docker, Kubernetes, cloud platforms), integrate IoT data with Power BI and Python pipelines, and deliver actionable insights.
• Business Analysis & Solution Design: Gather requirements, prepare BRD/FDS, design solution architecture, and create intuitive dashboards and applications.
• Stakeholder Management: Act as the bridge between plant operations, IT, vendors, and sponsors; lead workshops and solution walkthroughs.
• Smart Factory Roadmap: Support execution of digital transformation programs, maintain trackers, and propose improvements aligned with Industry 4.0 trends.

Required Skills & Expertise:

• Hands‑on experience in IIoT, MES, Smart Factory, and industrial digitalization projects.
• Exposure to industrial data platforms (AVEVA PI, OSIsoft, AspenTech, Ignition).
• Strong knowledge of Python, SQL, Pandas, Spark, and ML frameworks (PyTorch, TensorFlow, Scikit‑learn).
• Familiarity with cloud platforms (Azure/AWS/GCP) and MLOps practices.
• Business analysis skills (BRD, FDS, ROI calculations, solution architecture).
• Dashboarding and analytics using Power BI, Python.
• Predictive maintenance model development/deployment.
• UI/UX design for dashboards and applications.

Education & Experience:

• B.E./B.Tech in Engineering (certifications in IIoT/Digital Transformation/Business Analysis are a plus).
• 4–8 years of experience in Industry 4.0 and IIoT projects within manufacturing.
• Proven track record in AI/ML use cases (predictive maintenance, anomaly detection, production monitoring).
• End‑to‑end implementation experience in IIoT, MES, Computer Vision, or industrial data platforms.

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