Assistant General Manager

Role Purpose: Lead the manufacturing engineering function for the New Factory, Jaipur and shape it into a safe, connected, intelligent and highly flexible future factory. The role will translate business growth, product strategy and global manufacturing standards into capable processes, digitally enabled production systems, robust industrialisation and sustained operational performance

Working Location: Jaipur

Role & Responsibilities 

Manufacturing Strategy and Factory Master Planning

• Develop the three-to-five-year manufacturing engineering strategy, capacity roadmap and technology master plan aligned with business growth and global standards.
• Own factory concept development, block layouts, process selection, make-versus-buy inputs, capacity modelling, utilities, material flow and phased expansion plans.
• Convert volume, mix, quality, cost and launch requirements into clear engineering specifications and investment priorities.
• Benchmark leading manufacturing practices and selectively scale solutions that deliver measurable operational value.

Core Manufacturing Engineering

• Lead process engineering for heavy structural fabrication, robotic MIG/MAG welding, precision fixtures, multi-axis manipulation and distortion control.
• Own machining process planning for CNC boring, milling and multi-axis operations, including tooling strategy, capability, optimisation and equipment utilisation.
• Provide engineering leadership for pre-treatment, CED/e-coat, powder coating, robotised painting, booth performance, curing and finish quality.
• Design heavy assembly lines for optimal takt, balance, station loading, sequence, ergonomics, error proofing, traceability and material presentation.
• Ensure process documentation, standard work, PFMEA, control plans, capability studies and change control remain robust throughout the lifecycle.

NPI, Industrialisation and Launch Readiness

• Lead early manufacturing involvement in product development through DFM/DFA, tolerance, weld access, joining, machining, paint and assembly reviews.
• Own the industrialisation plan from concept and prototype through tooling prove-out, pilot builds, process validation, PPAP, ramp-up and stable series production.
• Establish launch governance with clear readiness gates, risks, owners, recovery actions and escalation routes.
• Ensure product and process traceability and rapid-learning loops between engineering, quality, operations and suppliers.

Automation, Digital Twin and Connected Operations

• Own the digital manufacturing blueprint, use-case portfolio, standards, value cases and deployment roadmap.
• Deploy simulation and digital-twin tools such as Tecnomatix, DELMIA or equivalent for layout, discrete-event, robotic reach, cycle time, ergonomics and virtual commissioning.
• Guide integration of PLC/SCADA, robotics, IIoT, edge, MES/MOM, historian, quality, maintenance and ERP platforms through open and governed interfaces.
• Enable real-time OEE, downtime, cycle, quality, energy and asset-health visibility with consistent data definitions and ownership.
• Lead predictive and prescriptive applications while ensuring model validation, safe operating boundaries, explainability and operator authority.
• Prevent isolated pilots by applying common architectures, reusable standards, lifecycle support and benefits tracking.

CAPEX and Programme Delivery

• Conceptualise, justify and deliver major capital programmes with robust scope, cost, schedule, risk, capacity and benefits cases.
• Lead technical specifications, vendor evaluation, design reviews, FAT/SAT, installation, commissioning, capability acceptance and handover.
• Optimise equipment, robot, tooling and floor-space utilisation over the full asset lifecycle.
• Maintain strong governance over budget, change control, dependencies, statutory compliance, supplier performance and benefits realisation.

Operational Excellence, Quality and Safety

• Drive improvements in OEE, right-first-time, throughput, changeover, labour productivity, cost per unit and asset reliability.
• Apply Lean, value-stream mapping, 5S, standard work, DMAIC, 8D and 5-Why to eliminate waste and recurring loss.
• Build quality at source using PFMEA, control plans, process capability, Poka-Yoke, automated inspection and data-led prevention.
• Integrate machine safety, guarding, interlocks, ergonomic design, safe maintenance access and zero-harm principles into all engineering work.

Skills Required

• Robotic welding, handling, painting and inspection; cell design, safety, offline programming and utilisation.
• CNC process planning, heavy machining, fixtures, tools, gauges, metrology and process capability.
• Factory and line simulation, virtual commissioning, layout optimisation, material-flow analysis and ergonomic assessment.
• Industrial controls and connectivity, including PLC, HMI, SCADA, industrial networks, IIoT/edge and integration patterns.
• MES/MOM, ERP integration, genealogy, electronic work instructions, quality and maintenance workflows.
• Industrial analytics, AI/ML use cases, predictive maintenance, vision systems and governed operational decision support.
• OT cybersecurity principles, system availability, asset lifecycle, obsolescence, backup and disaster recovery.
• Business-case development, total cost of ownership, benefits tracking and technology/vendor evaluation.

Key Functional Competencies

• Demonstrated delivery of greenfield/brownfield factory, line, automation or major CAPEX programmes from concept to stable production.
• Strong experience in high-mix heavy fabrication, machining, paint and assembly environments.
• Practical exposure to robotics, PLC/SCADA, machine vision, IIoT, MES/MOM, industrial data platforms, simulation and digital-twin deployment.
• Evidence of leading multidisciplinary teams and influencing executive stakeholders, global teams and strategic suppliers.
• Working knowledge of Lean/Six Sigma, APQP/PPAP, PFMEA, control plans, process capability, machine safety and relevant quality/EHS systems.
• Relevant certifications such as PMP, Lean Six Sigma, functional safety, automation or digital manufacturing are advantageous.