HOD – Smart Manufacturing (CIM / Factory Automation)

ABOUT THE COMPANY:

AI-enabled, state-of-the-art semiconductor foundry

As part of the Tata Group—a global enterprise operating in 100+ countries across six continents—TEPL is driven by the Tata mission:

“To improve the quality of life of the communities we serve globally, through long-term stakeholder value creation based on leadership with trust.”

The Dholera facility offers a unique opportunity to build India’s semiconductor future.

ROLE OVERVIEW:

Head of Smart Manufacturing (CIM/FA)

SiView MES

KEY RESPONSIBILITIES:

1. Strategic Leadership

• Develop and execute the Smart Manufacturing roadmap for the new TEPL Dholera fab.
• Align automation strategy with fab ramp milestones, operational excellence targets, and long-term capacity growth.
• Drive digital transformation initiatives to improve productivity, quality, cycle time, and system reliability.

2. Factory Automation & CIM Systems Ownership

• Lead deployment, integration, and lifecycle management of:

• SiView MES

• AMHS (Daifuku / Muratec)

• APC, FDC, SPC, OCAP

• RMS, TMS, Scheduling & Dispatching systems

• Other CIM/FA modules and fab-wide digital platforms
• Ensure architecture robustness, data integrity, and adherence to SEMI standards (SECS/GEM, EDA, E84, etc.).

3. Cross-functional Collaboration

• Partner closely with Process Engineering, Equipment Engineering, Manufacturing, Yield, IT Infrastructure, Facilities, Quality and Supply Chain.
• Act as the central bridge between engineering and IT for all factory digital systems.
• Manage vendor relationships for MES, AMHS, APC/FDC tools, and automation hardware/software.

4. Team Leadership & Capability Building

• Build, lead, and mentor a high-performance Smart Manufacturing / CIM / Automation team.
• Develop internal competencies in MES, automation engineering, tool integration, data analytics, and system operations.
• Promote a collaborative, high-accountability team culture aligned with Tata values.

5. Operational Excellence

• Ensure 24x7 system availability, stability, and performance of all factory automation platforms.
• Drive continuous improvement initiatives using structured methodologies (RCA, DMAIC, lean principles).
• Establish, track, and enhance KPIs for automation uptime, system performance, cycle time, and dispatching efficiency.

6. Project Management

• Lead large-scale system deployments, fab module integrations, and production ramp projects.
• Manage budgets, timelines, and resource planning for CIM/FA initiatives.
• Govern change management, cybersecurity protocols, and data governance policies.

7. Problem Solving & Escalations

• Serve as the final escalation point for all MES/AMHS/CIM system issues impacting fab operations.
• Drive rapid resolution through expert-level troubleshooting and preventive system design improvements.

REQUIRED QUALIFICATION:

Education

• Master’s degree in Electrical Engineering, Electronics, Computer Engineering, Computer Science, Industrial Engineering, or related field.

Experience

• 10–15 years of semiconductor foundry experience with deep involvement in Factory Automation / CIM.
• Proven hands-on expertise in

  SiView MES

  ,

  AMHS

  , and key CIM applications (APC, FDC, OCAP, RMS, TMS, etc.).
• Strong background working across Engineering (PIE/YE/EE), Manufacturing, and IT.
• Experience leading teams and executing complex automation projects in a production fab environment.

Skills & Competencies

• Structured thinker with strong analytical and problem-solving capabilities.
• Excellent communication and cross-functional stakeholder management.
• High level of ownership, resilience, and ability to perform in a fast-paced ramp environment.
• Team-first mindset with proven leadership qualities.
• Strong understanding of fab workflows, data architecture, interfaces, and SEMI standards.

PREFFERED QUALIFICATION:

• Experience with fab start-up, ramp, or greenfield deployments.
• Exposure to AI/ML use cases in semiconductor manufacturing.
• PMP, Lean Six Sigma, or similar certifications.
• Experience with cloud systems, data lakes, or Industry 4.0 technologies.