$2.3M
Tracked EBIT Impact
Vignesh Nagarajan
Open to relocation · Europe preferred
Vignesh Nagarajan
Smart Factory & Digital Manufacturing Leader · Industry 4.0 · Industrial AI
I turn shop-floor pain points into funded, scalable Industry 4.0 and AI programmes - delivering $2.3M+ in tracked EBIT impact across 100+ manufacturing divisions in Europe, North America, and China.
Chennai, India
Available Globally
Industry 4.0
Global Delivery
AI + Operations
Problem statement
Digital transformation stalls at the gap between the shop floor and the boardroom.
The barrier is rarely the technology itself. It is translating plant-level pain points - across decentralised, multi-process manufacturing environments - into funded, scalable programmes that both operators and executives trust. That translation is where I operate, adapting each solution to a facility's specific operational, data, and organisational realities rather than forcing a uniform approach.
Metrics
Executive scale in numbers
100+
Manufacturing Divisions
19
Sites Scaled in 9 Months
10+
Years in Industry 4.0
Experience timeline
Career path
MI
Magna International
2024-Present
IoT & Smart Factory Solutions Manager
Steering 3 AI/IoT use cases to $2.3M in tracked EBIT impact within a $19.7M programme independently validated by McKinsey; grew the India CoE from 3 to 17 people.
Industrial AIIIoTCoE Leadership
MI
Magna International
2023-24
Regional Industry 4.0 Lead, Europe
Scaled IoT to 85% of European plants in 9 months across 19 Body & Chassis sites, standardising factory data models on MQTT and Unified Namespace.
Industry 4.0MQTT/UNSProgramme Lead
AZ
Amazon
2021-23
Systems Development Engineer II
Took robotics and automation from prototype to production across 5 European fulfilment sites - 40% cost savings, 20% faster deployment.
RoboticsAutomationSystems
AZ
Amazon
2020-21
Automation Engineer / SME Control Systems
Delivered automation upgrades generating €800K+ in infrastructure savings while restoring peak-season throughput.
ControlsSCADAAutomation
EC
Early Career, Italy
2016-19
MES, Automation & Controls Engineer
Built ISA-95 Level 0-4 foundations across Cannon Automata, Whirlpool, P&C Automation, and Autoware - PLC commissioning, SCADA, and MES rollouts in automotive and appliance manufacturing.
MESSCADAPLC
Capabilities
Where shop-floor operations, data, AI, and executive strategy meet
Digital Manufacturing Strategy
Turning plant-level pain points into funded, prioritised Industry 4.0 and AI roadmaps.
OT/IT Integration
Standardising factory data models on MQTT, Unified Namespace, and ISA-95 for consistent OT/IT data flow.
Applied Industrial AI
Condition-based monitoring, real-time SPC, and predictive maintenance use cases proven on the shop floor.
Data & Visibility Platforms
Grafana and Power BI observability giving plant teams real-time, self-serve production visibility.
Centre of Excellence Leadership
Built and scaled a delivery organisation from 3 to 17 across engineers, analysts, and partners.
Executive Programme Delivery
Engaging Directors and VPs to prioritise, fund, and scale programmes across 100+ divisions.
Current focus
Right now
Live bets, active builds, and things occupying my thinking.
Active · Magna Global
Scaling to 200+ divisions
Deploying real-time production observability across Magna's global manufacturing divisions, scaling toward 200+ by end of 2026.
Building · India CoE
Smart Factory Centre of Excellence
Leading a 17-person Centre of Excellence - engineers, analysts, and partners - grown from 3 in two years.
Learning · Certifications
OT Cybersecurity & Cloud Architecture
Pursuing ISA CSSA and Azure Industrial IoT credentials to complement operational depth.
Thinking · Next chapter
VP / Global DX Lead in Europe
Actively exploring principal-level digital transformation advisory roles at multinationals.
Projects teaser
Strategic workstreams
Global Plant Visibility Programme
Grafana observability connecting machine-level data to plant and executive decisions across global factories.
Smart Factory Rollout Playbook
The MQTT/Unified Namespace data-standardisation model that scaled IoT to 85% of European plants in 9 months.
Industrial AI to EBIT Impact
Condition-based monitoring, SPC, and invoice automation use cases behind $2.3M in McKinsey-validated EBIT impact.
Bring me your hard problems
Describe the challenge
Struggling with factory connectivity, OT/IT integration, or scaling IoT? Tell me what you are up against.
No spam. Just a real conversation.