Head - Digital Manufacturing Dark Factory Roadmap

Michael Page; Gurgaon; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Michael Page is seeking a senior Industry 4.0 leader in Gurgaon to drive end-to-end smart factory transformations across automotive components manufacturing.

You will lead AI, IIoT, MES/PLM integrations, and deploy robotics, predictive maintenance, and data-driven decision making to boost productivity and asset reliability. This role requires 15 years in manufacturing digital transformation and a strong track record in ROI-focused programs.

Qualifications

• 15 years of experience in digital transformation within manufacturing environments.
• Proven in-house manufacturing leadership; consulting-only backgrounds NOT preferred.
• Hands-on expertise in Industry 4.0, MES, PLM, and IIoT deployments.
• Experience delivering AI, Computer Vision, or Robotics solutions on the shop floor.
• Strong background in predictive maintenance, quality systems, and traceability.
• Working knowledge of SAP ERP, supply chain systems, RFID, and logistics platforms.
• Understanding of cloud, edge computing, plant networks, and OT cybersecurity.
• Track record of building ROI-driven digital business cases and influencing senior stakeholders.

Responsibilities

• Lead the Industry 4.0 roadmap from connected to autonomous manufacturing.
• Drive MES, PLM, IIoT, and ERP integration across plant operations.
• Deploy AI and computer vision solutions for quality and traceability.
• Implement predictive maintenance programs to improve asset reliability.
• Champion robotics and automation initiatives to enhance productivity.
• Define and govern the digital strategy, roadmap, and investment portfolio.
• Enable end-to-end supply chain digitization and real-time operational visibility.
• Build digital capabilities and drive data-led decision-making across plants.

Skills

Industry 4.0

MES

PLM

IIoT

AI

Computer Vision

Robotics

Predictive Maintenance

Quality Systems

Traceability

SAP ERP

RFID

Cloud

Edge Computing

OT Cybersecurity

ROI Business Cases

Stakeholder Management

Education

BE/BTech

MBA/Operations

Tools

SAP ERP

RFID Systems

Job description

Job Description:

• Lead end-to-end smart factory transformation with strong CEO visibility.
• Drive AI, automation & Industry 4.0 at scale across multiple plants.

About Our Client

A market-leading auto components manufacturer with a strong legacy of innovation, operational excellence, and global partnerships. The organization is investing aggressively in Industry 4.0, AI-led manufacturing, automation, and connected factory ecosystems to build next-generation manufacturing capabilities.

Job Description

• Lead the Industry 4.0 roadmap from connected to autonomous manufacturing.
• Drive MES, PLM, IIoT, and ERP integration across plant operations.
• Deploy AI and computer vision solutions for quality and traceability.
• Implement predictive maintenance programs to improve asset reliability.
• Champion robotics and automation initiatives to enhance productivity.
• Define and govern the digital strategy, roadmap, and investment portfolio.
• Enable end-to-end supply chain digitization and real-time operational visibility.
• Build digital capabilities and drive data-led decision-making across plants.

The Successful Applicant

• ~15 years of experience in digital transformation within manufacturing environments.
• Proven in-house manufacturing leadership; consulting-only backgrounds NOT preferred.
• Hands-on expertise in Industry 4.0, MES, PLM, and IIoT deployments.
• Experience delivering AI, Computer Vision, or Robotics solutions on the shop floor.
• Strong background in predictive maintenance, quality systems, and traceability.
• Working knowledge of SAP ERP, supply chain systems, RFID, and logistics platforms.
• Understanding of cloud, edge computing, plant networks, and OT cybersecurity.
• Track record of building ROI-driven digital business cases and influencing senior stakeholders.

Education & Preferred Qualifications

• B.E./B.Tech in Engineering or Computer Science (mandatory).
• MBA or postgraduate qualification in Operations or Manufacturing preferred.
• Prior experience in automotive components or OEM manufacturing environments.
• Exposure to smart factory, lights-out manufacturing, and autonomous operations.
• Experience collaborating with global/JV technology partners preferred.
• Knowledge of IATF 16949, APQP, and PPAP quality frameworks.

What's on Offer

• A leadership role in the automotive components industry.
• Opportunities to drive innovation and influence business growth.

Quote job ref: JN-092026-7115740