Search by job, company or skills

Head of Digital Engineering & Industrial IT

This job is no longer accepting applications

Job Description

Job Title: Head of Digital Engineering & Industrial IT

(Senior Director / AVP / VP Level)**

Experience: 20+ Years

Reporting To: CEO

Location: Bangalore / Remote

About The Role

We are seeking a senior leader who brings strong IT, data, and systems integration expertise across the engineering and manufacturing value chain.

The ideal candidate should understand product engineering (PLM/PDM/CAD) and process/manufacturing systems (MES/MOM/APC/OT) at a strategic level, while being deeply hands-on with AI/ML, industrial data architectures, and digital thread enablement.

This role focuses on connecting these domains — not performing them — through modern IT platforms, integration architectures, and data intelligence.

The leader will define and scale our Digital Engineering & Industrial IT practice, unifying product data, OT data, process data, and enterprise systems into a cohesive digital ecosystem for global USA/EU clients.

Key Responsibilities

  • Strategy & Leadership
  • Lead the Digital Engineering & Industrial IT practice with a focus on integration, data intelligence, automation, and AI.
  • Build the roadmap for Digital Thread, spanning PLM Engineering MES/MOM ERP Service.
  • Provide strategic oversight of both product engineering IT systems and manufacturing/OT systems, without requiring deep domain specialization.
  • Manage global distributed teams, capability building, and multi-million USD delivery portfolios.
  • IT, Data, and Digital Architecture
  • Architect end-to-end solutions across:
  • PLM/PDM ecosystems (3DEXPERIENCE, Teamcenter, Windchill)
  • MES/MOM and industrial IT layers
  • APC, historian, SCADA/PLC system integration
  • ERP (SAP) integration and enterprise data models
  • Drive AI/ML initiatives for OT data, including:
  • Historian data
  • Sensor & time-series OT data
  • APC model analytics
  • OTS logs and manufacturing datasets
  • Lead the development of industrial data pipelines, industrial lakehouses, contextualization layers, and cloud architectures.
  • Product Engineering IT (Strategic Understanding, IT Leadership)
  • Oversee PLM/PDM configuration, workflows, integrations, and digital thread mapping.
  • Guide teams working on CAD/CAE integrations, engineering data management, and digital twin (product).
  • Ensure alignment of engineering systems with downstream manufacturing and ERP layers.
  • Process & Manufacturing IT (Strategic Oversight, Integration Focus)
  • Oversee digitalization of manufacturing systems, including MES/MOM and OT/IT platforms.
  • Supervise integration of SCADA/PLC, APC, historian systems into enterprise data platforms.
  • Drive AI-driven process optimization and predictive analytics from OT/ITS data (not hands-on engineering).
  • Support digital twin (process) initiatives via data and modeling teams.
  • Client & Business Management
  • Lead engagement with USA/EU clients across digital engineering, industrial IT, smart manufacturing, and Industry 4.0.
  • Present roadmaps, architectures, and transformation strategies.
  • Support sales with solutioning, pricing, staffing plans, and proposals.
  • Innovation & Practice Growth
  • Build reusable accelerators for:
  • PLM–MES–ERP integrations
  • Industrial AI models (APC/OT/Process data)
  • Digital Thread orchestration
  • Industrial data platforms
  • Mentor architects across PLM, MES, OT/IT, data engineering, and AI domains.

Required Skills & Experience

  • 20+ years in Engineering IT, Digital Engineering, Industrial IT, or OT/IT integration.
  • Strong knowledge of PLM/PDM, MES/MOM, APC/OT systems, but as an IT integration leader, not deep domain engineer.
  • Expertise in AI/ML for OT data, industrial analytics, and data engineering.
  • Experience building digital architectures across PLM MES ERP.
  • Proven experience with USA/EU clients and global delivery.
  • Strong leadership, architecture, stakeholder, and communication skills.

Educational Qualifications

  • Bachelor's degree in Engineering or Computer Science.
  • Master's degree preferred.

More Info

Job Type:
Industry:
Employment Type:

About Company

Job ID: 141188567

Beware of Scammers

We don’t charge money for job offers