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Head of Digital Engineering & Industrial IT

INOPTRA DIGITAL
Bengaluru, Karnataka

Quick apply

Job details

Qualifications

Computer Science
Enterprise Software
SAP
Engineering
ERP systems
Master's degree
Programmable logic controllers
Bachelor's degree
Manufacturing
AI
Communication skills
Product lifecycle management
Analytics

Full 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

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

Quick apply

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