Manufacturing Strategy Consultant

Introduction

A results-driven Business Transformation or Strategy Consultant in manufacturing strategy, operations excellence, and Industry 4.0 enablement. You combine a strong manufacturing domain understanding with digital technology acumen to help clients modernize operations, unlock productivity, and accelerate business outcomes. You are adept at bridging business, operations, and technology, using your analytical mindset, consulting experience, and stakeholder management skills to deliver transformation impact.

Your Role And Responsibilities

• Partner with manufacturing clients to identify operational pain points and define a digital transformation roadmap aligned to business objectives.
• Conduct diagnostics and maturity assessments to benchmark current capabilities across supply chain, production, quality, and plant maintenance.
• Design data-driven and digitally enabled process improvements leveraging AI, IoT, automation, analytics, and cloud-based MES or digital twin platforms.
• Lead workshops and interviews to capture business requirements and translate them into actionable use cases and solution requirements.
• Develop process maps, KPIs, and business case models to quantify value (e.g., productivity gains, yield improvements, energy optimization).
• Collaborate with cross-functional teams (technology, data, and product) to ensure seamless implementation of digital solutions.
• Support change management, training, and adoption activities to drive user engagement and sustained business impact.
• Track program success through defined metrics and continuous improvement dashboards.
  
  

• MBA (preferably in Operations, Supply Chain, or Strategy) with 5–7 years of relevant experience in manufacturing, plant operations, digital transformation
• Strong understanding of manufacturing processes (production, maintenance, quality, logistics) and associated KPIs.
• Exposure to Industry 4.0 technologies such as IoT, AI/ML, predictive maintenance, digital twin, and manufacturing analytics.
• Experience in business analysis and project delivery tools: Excel, Power BI/Tableau, JIRA, Confluence, and process modelling tools (Visio, ARIS, etc.).
• Strong analytical and problem-solving capabilities, with the ability to translate insights into business recommendations.
• Excellent communication, presentation, and client management skills, including leading workshops and stakeholder meetings.
• Familiarity with Agile/Waterfall methodologies and the software development lifecycle (SDLC).
• Ability to thrive in dynamic client environments and manage multiple priorities effectively.