Manager - Automation
Actively Reviewing the ApplicationsLarsen & Toubro
India, Tamil Nadu, Chennai
Full-Time
On-site
Posted 1 day ago
•
Apply by June 4, 2026
Job Description
Role Overview
The Manager - Automation will lead enterprise-wide automation, Industry 4.0, and smart manufacturing initiatives across our plants. This role is responsible for architecting and deploying automation systems, driving IT–OT integration, and leading cross-functional programs that enhance operational efficiency, production visibility, and digital transformation maturity.
The ideal candidate brings strong technical expertise in automation/IIoT, global project leadership experience, and a proven track record of delivering automated machinery, robotics systems, and data-driven manufacturing platforms.
Key Responsibilities1. Automation Strategy & Program Leadership
The Manager - Automation will lead enterprise-wide automation, Industry 4.0, and smart manufacturing initiatives across our plants. This role is responsible for architecting and deploying automation systems, driving IT–OT integration, and leading cross-functional programs that enhance operational efficiency, production visibility, and digital transformation maturity.
The ideal candidate brings strong technical expertise in automation/IIoT, global project leadership experience, and a proven track record of delivering automated machinery, robotics systems, and data-driven manufacturing platforms.
Key Responsibilities1. Automation Strategy & Program Leadership
- Develop and execute automation and digital transformation roadmaps aligned with business objectives.
- Lead multi-site automation deployments, including machine automation, robotics, IIoT platforms, and smart manufacturing systems.
- Drive end-to-end execution of automation projects (Concept → Design → Integration → Commissioning → Handover).
- Establish governance models, KPIs, and reporting structures for automation programs.
- Architect solutions involving OPC-UA, MQTT, PLC systems, SCADA, MES connectivity, Data Historians, and Digital Twin models.
- Ensure seamless integration between shop-floor systems (OT) and enterprise applications (IT).
- Collaborate with vendors and internal engineering teams on control-system design, microservices/API integration, and cloud/edge architectures.
- Deploy OEE monitoring systems, machine data visualization dashboards, and real-time production analytics.
- Lead adoption of Industry 4.0 capabilities such as predictive insights, automated workflows, digital floor planning, and connected factory platforms.
- Drive performance improvements in throughput, cycle time, quality, and productivity through automation solutions.
- Manage and mentor automation engineers and cross-regional SMEs across engineering, IT, and manufacturing teams.
- Work with global stakeholders, plant heads, and CXO-level leadership to define requirements and ensure delivery alignment.
- Ensure effective communication, risk management, and stakeholder engagement across multi-site programs.
- Lead vendor strategy, contract negotiations, and performance management for automation suppliers and integrators.
- Oversee budgets, cost optimization initiatives, and CAPEX planning for automation investments.
- Track project financials, risks, and ROI improvements with data-driven insights.
- Implement Lean/Continuous Improvement practices and drive automation-based process optimizations.
- Ensure adherence to safety standards, regulatory requirements, and engineering quality frameworks.
- Conduct RCA, risk assessments, and ensure audit readiness for automation and digital systems.
- Strong knowledge of PLCs, robotics, machine automation, and industrial control systems.
- IIoT protocols & IT–OT technologies: OPC-UA, MQTT, SCADA, MES, Kepware, Digital Twin, Data Historian.
- Experience in cloud/edge platforms such as Azure IoT, Siemens MindSphere (preferred).
- Proficiency with engineering tools (SolidWorks, CATIA, AutoCAD, Creo) is an advantage.
- Ability to define KPIs, track OEE improvements, and deliver measurable business outcomes.
- Strong problem-solving, risk management, and decision-making capabilities.
- Bachelor’s degree in Mechanical / Automobile / Electrical / Electronics / Mechatronics Engineering (or equivalent).
- PMP certification (preferred / added advantage).
- 10–15+ years of experience in automation, industrial engineering, IIoT, or smart manufacturing programs.
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