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Tier-1 employer, Bangalore location, and mid-level generalist IIoT/data remit increases candidate competition.
Requires manufacturing IIoT, MES, and smart-factory expertise, limiting cross-industry transferability.
Explicit 6–8 years plus specialized IIoT, MES, analytics, and AI/ML requirements enforce strict candidate filters.
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Lead Industry 4.0, Connectivity, and Digital Engineering initiatives to enable smart manufacturing and connected value chains.
Implement machine connectivity, manufacturing systems integration, and digital transformation projects including AI/ML, predictive maintenance, and automation.
Develop dashboards and analytics solutions using Power BI/Tableau and collaborate across teams to deliver smart factory projects.
Bachelor's degree in Engineering (Mechanical, Industrial, Computer Science, or related).
6-8 years of relevant work experience in digital engineering or Industry 4.0 roles.
Experience with Industry 4.0 solutions, IIoT, MES/MAS, data analytics, and automation projects.
Preferred but not mandatory: MBA/M.Tech in Supply Chain Management, Data Science, or Business Analytics.
Experienced in implementing industrial connectivity and IIoT within manufacturing or logistics environments.
Proficient in data visualization tools (Power BI/Tableau) and analytics to support data-driven decision making.
Comfortable leading cross-functional collaboration on digital transformation and smart factory initiatives.