Lead – Digital Supply Chain

Job Title: Lead – Digital Supply Chain

Department: Digital Transformation / Global Supply Chain

Location: Mumbai

Reports To: Chief Digital Officer (CDO)

Role Overview

The Supply Chain Digital Lead will anchor the digital transformation of the end-to-end supply chain—spanning demand planning, procurement, inventory, and fulfillment—while tightly integrating these processes with manufacturing and Industry 4.0 initiatives. The role combines supply chain domain expertise with advanced digital and analytics capabilities to create a connected, intelligent planning ecosystem that drives agility, efficiency, and data-backed decision-making across the enterprise.

Key Responsibilities

Digital Supply Chain Platform Implementation

• Drive design, deployment, and governance of Demand Planning, Procurement, and Supply Planning tools , ensuring enterprise-level integration with ERP, MES, and manufacturing systems.
• Lead the implementation and optimization of MRP expansion initiatives to align material flow, production scheduling, and capacity management.
• Establish master data and integration frameworks between planning tools, ERP, and operational shop-floor systems for seamless data synchronization.
• Introduce cloud-based and AI-enabled planning platforms that support what-if scenario modeling and dynamic replanning.

AI, Analytics, and Optimization

• Lead the development of AI-driven forecasting engines and inventory optimization algorithms that enhance forecast accuracy, cost efficiency, and service performance.
• Implement an enterprise inventory optimization tool leveraging AI/ML, statistical modeling, and simulation to balance inventory across global supply nodes.
• Enable predictive analytics for supply chain risk, lead-time variability, and capacity utilization.
• Work closely with the AI and Analytics team to operationalize advanced models through digital dashboards and control towers.

Warehouse and Logistics Digitization

• Deploy Warehouse Management Systems (WMS) and automation technologies to improve efficiency, traceability, and responsiveness in logistics operations.
• Integrate IoT sensors, barcode/RFID, and digital dashboards for real-time material flow visibility.
• Lead pilots in smart warehousing and logistics execution , leveraging robotics, vision analytics, or digital twin models for advanced traceability and process improvement.

Integration with Manufacturing and Industry 4.0

• Collaborate with the Manufacturing Digital Team to link supply planning with plant execution systems using Digital Twin , MES , and IoT frameworks.
• Drive initiatives connecting planning accuracy with shop-floor agility , enabling synchronized supply and production alignment.
• Enhance data integration between supply chain systems and industrial assets to improve responsiveness, throughput, and overall equipment effectiveness (OEE).
• Build capabilities for end-to-end visibility — from demand signal to production execution — as part of the Industry 4.0 roadmap.

Transformation Leadership and New Initiatives

• Lead change management, capability building, and digital adoption within the supply chain function.
• Champion digitally empowered, analytics-driven planning across regions and product lines.
• Identify emerging technologies (digital twins, prescriptive analytics, generative AI for scenario planning) and accelerate their adoption through pilots and rapid experimentation.
• Define benefit realization metrics and track business outcomes from digital investments , including forecast accuracy improvement, inventory optimization, and productivity gains.

Qualifications

• Bachelor’s or Master’s degree in Supply Chain, Engineering, Data/Technology, or Business Management.
• 8–15 years of experience in supply chain planning and transformation , covering demand, supply, and inventory functions in manufacturing industries.
• Proven experience with planning tools (SAP IBP, Kinaxis, Blue Yonder, O9, etc.) , and integration with ERP/MES systems.
• Strong understanding of digital manufacturing (Industry 4.0) , including IoT platforms, MES, and smart factory initiatives.
• Demonstrated experience delivering AI/ML-based forecasting and optimization projects .
• Strong stakeholder management and ability to collaborate across digital, manufacturing, and business functions.