Your Tasks

The role will be responsible for :

• Lead end-to-end Manufacturing Data & AI initiatives across factories, from business problem definition and data feasibility assessment through pilot execution, deployment, adoption, and value realization.
• Build and strengthen AI-ready data foundations by improving data availability, quality, governance, accessibility, KPI standardization, and integration across SAP, MES, Power BI, and shopfloor systems.
• Translate manufacturing challenges into scalable analytics, AI, automation, and reporting solutions that drive measurable improvements in productivity, cost, quality, capacity utilization, maintenance, and operational performance.
• Partner closely with Manufacturing, Continuous Improvement, Engineering, Quality, Supply Chain Analytics, and Digital/AI teams to identify opportunities, define requirements, validate use cases, and ensure successful implementation.
• Develop and validate analytics and AI prototypes using manufacturing data, operational insights, and business expertise to demonstrate feasibility and business value.




• Manage a portfolio of Manufacturing Data & AI initiatives, ensuring effective prioritization, stakeholder alignment, execution excellence, adoption, and benefit tracking.
• Establish standardized KPI frameworks, dashboards, benchmarking methodologies, and self-service analytics capabilities to enhance performance visibility, decision-making, and governance.
• Embed data-driven decision-making, analytics, and AI solutions into factory management systems and Continuous Improvement practices to ensure sustainable outcomes.
• Serve as the key liaison between manufacturing and technical teams, translating business needs into scalable digital, data, and AI solutions.
• Drive organizational adoption through communication, training, capability building, and the development of a Manufacturing Data & AI community across the factory network.

Your Profile

• Master’s degree in engineering, Industrial

📌 Business Analyst Manufacturing (Mumbai)
🏢 Beiersdorf
📍 Mumbai