Principal SME - Manufacturing Engineering & Digital

Cyient Limited; Bengaluru; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Cyient Limited seeks a Manufacturing Engineering SME to act as a customer-facing advisor and capability leader. You will translate manufacturing challenges into actionable transformation roadmaps and delivery programs while leading MBDef and digital manufacturing initiatives.

The role requires deep manufacturing engineering experience, digital technology awareness, and strong program execution with consultative engagement across aerospace manufacturing domains.

Qualifications

• Experience in manufacturing engineering, digital manufacturing, and consulting-led delivery.
• Knowledge of MBD/MBMI and model-based workflows is desirable.
• Familiarity with MES integration and AI-enabled quality improvement.

Responsibilities

• Engage with customers to translate manufacturing challenges into roadmaps and delivery programs.
• Lead solution development in MBEnvironments, AI, and digital thread enablement.
• Drive opportunities in inspection modernization, analytics, and Industry 4.0 across programs.

Skills

Manufacturing engineering

Digital manufacturing

Model-Based Definition

AI-enabled defect detection

Robotics inspection

Tools

MES integration

Industrial IoT

Job description

Job Description Summary

The SME will act as a customer-facing advisor and internal capability leader, translating manufacturing challenges into actionable transformation roadmaps, proposal opportunities, and delivery programs. The role requires a strong combination of manufacturing engineering depth, digital technology awareness, project/program execution discipline, and consultative customer engagement.

Key Responsibilities

1. Customer Engagement & Business Growth

• Engage with manufacturing, industrialization, quality, operations, and engineering stakeholders to understand priorities, pain points, and future roadmap needs.
• Identify white-space opportunities across manufacturing engineering, inspection modernization, tooling, process planning, automation, analytics, and digital transformation.
• Develop customer-ready proposals, solution narratives, business cases, effort estimates, delivery assumptions, and implementation roadmaps.
• Facilitate discovery workshops, maturity assessments, technology demonstrations, and executive reviews.
• Partner with account, delivery, and solution teams to convert ideas into a qualified pipeline and executable programs.

2. Manufacturing Engineering & Technology Leadership

• Provide domain leadership in aerospace manufacturing engineering, including process planning, industrialization, work instructions, producibility, manufacturing validation, tooling, fixture design, and assembly methods.
• Lead solution development in Model-Based Definition, Model-Based Manufacturing Information, digital manufacturing, and digital thread enablement.
• Drive opportunities around robotic inspection, automated dimensional inspection, machine vision, CMM automation, NDI/NDT data workflows, and AI-enabled defect detection.
• Evaluate smart factory technologies, including MES integration, Industrial IoT, real-time shop‑floor dashboards, OEE improvement, predictive quality, and manufacturing intelligence.
• Build point‑of‑view assets, reference architectures, accelerators, playbooks, reusable templates, and technology roadmaps.

3. Program Delivery & Roadmap Execution

• Translate customer roadmap themes into structured execution plans with scope, milestones, dependencies, risks, benefits, and governance cadence.
• Apply project management, Agile, and Scrum practices to improve delivery predictability, stakeholder alignment, backlog visibility, and value realization.
• Support program governance through steering reviews, sprint or milestone planning, risk registers, RAID logs, and benefit tracking.
• Ensure solution proposals are delivery‑ready with clear assumptions, resource models, transition approaches, KPIs, acceptance criteria, and change management considerations.
• Collaborate with delivery managers to ensure proposed solutions are scalable, commercially viable, and aligned to Cyient delivery capabilities.

4. Capability Building & Team Enablement

• Mentor manufacturing engineering teams on domain practices, digital manufacturing trends, customer context, and consulting‑led delivery approaches.
• Define competency roadmaps, skill matrices, and training plans for MBD/MBMI, inspection automation, manufacturing analytics, and Industry 4.0.
• Support hiring, interviews, technical assessments, and creation of a Manufacturing Engineering SME community within the P&WC CoE.
• Establish partnerships with technology providers, universities, or internal digital teams where needed to build differentiated offerings.

Strategic Focus Areas

Focus Area

Opportunity Themes

Model-Based Enterprise

MBD, MBMI, model-centric manufacturing, 2D‑to‑3D transformation, model-based work instructions, digital thread.

Inspection Modernization

Robotic inspection, automated inspection planning, AI‑enabled visual inspection, CMM automation, metrology data management.

Manufacturing Execution & Analytics

MES workflows connected shop‑floor data, Power BI dashboards, OEE analysis, production monitoring, and predictive quality.

Industrialization & NPI

Manufacturing readiness assessments, process planning, manufacturability reviews, tooling/fixture digitization, assembly optimization.

AI & Automation

AI/ML use cases for defect prediction, process recommendations, knowledge management, intelligent routing, and decision support.