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Description: Job Description: Head – Digital Manufacturing Job Title: Head – Digital Manufacturing Department: Group IT Location: Manesar, Gurugram Reports To: Group CIO Experience: 20+ years in IT/OT & Manufacturing Digitalization (5+ years in a leadership role) Industry: Automotive Manufacturing / Auto Components Employment Type: Full-time Key Deliverables · Concept to Delivery of Smart Factory solution (IoT, MES, WMS, advanced analytics and integration with PLM, SAP systems). · Map and execute API integration points connecting SAP, PLM, MES, and shop-floor IoT sensors · Enhancement of existing MES / Energy / IoT Applications Role Objective Lead the strategic vision, design, development, and multi-site execution of Smart Factory, Industry 4.0, and integrated Digital Transformation initiatives across Uno Minda manufacturing facilities. Drive seamless digital continuity from product development to shop-floor execution by integrating IoT, MES, PLM, advanced analytics, automation, and industrial cybersecurity with enterprise SAP systems. Enable real-time visibility, operational excellence, sustainability, and data-driven decision-making while leading organizational change management across plant operations. Key Responsibilities 1. Digital Strategy & Enterprise Roadmap - Define and execute the multi-year Digital Manufacturing strategy aligned with Uno Minda’s corporate growth and IT objectives. - Build scalability frameworks for smart factory maturity and capability maturity assessment across all manufacturing plants. 2. End-to-End Digital Continuity (PLM to MES Integration) - Establish digital threads linking Product Lifecycle Management (PLM - Siemens Teamcenter / PTC Windchill) to CAD/CAM, Manufacturing Execution Systems (MES), and shop-floor machinery. - Ensure seamless design-to-manufacturing handoffs, BOM synchronization, and engineering change management (ECO) integration across shop floors. 3. Smart Factory Solution Architecture & Deployment - Lead the design, custom development, and plant rollout of IoT-based smart manufacturing platforms, machine connectivity infrastructure, edge computing, and real-time data acquisition tools. - Drive standardized hardware and software architecture across all plant locations to reduce total cost of ownership (TCO). 4. SAP ERP Integration & Data Enablement - Ensure tight bi-directional integration between smart factory solutions/MES and SAP ERP modules (PP, MM, SD, QM, PM). - Enable real-time data flow for production scheduling, inventory movements, preventive/predictive maintenance, and quality inspections. 5. OT Cybersecurity & Infrastructure Governance - Define digital manufacturing architectural blueprints, data governance rules, and strict IT/OT convergence protocols. - Enforce industrial cybersecurity compliance based on global standards (ISA/IEC 62443 and NIST SP 800-82) across plant networks, edge hardware, and connected machinery. 6. Advanced Industry 4.0 & Emerging Technologies - Pilot and scale advanced smart factory solutions, including: - Digital Twins for manufacturing process simulation and throughput optimization. - Augmented Reality (AR) for operator guidance, remote maintenance, and digital work instructions. - AGVs / AMRs for automated material handling and internal logistics. 7. Organizational Change Management (OCM) & Plant Adoption - Drive cultural transformation and change management programs across plant floor teams, supervisors, and plant managers. - Partner with HR and Operations to design upskilling and reskilling curriculum for shop-floor operators to ensure high solution adoption and operational buy-in. 8. Quality, Traceability & Automotive Standards - Implement end-to-end digital component traceability (1D/2D barcodes, RFID, serial numbers) adhering to IATF 16949 standards. - Automate quality gates, poka-yoke validation, and digital audit readiness for Tier-1 OEM customer standards. 9. Supply Chain & Tier-1 Integration - Extend digital manufacturing capabilities to interface with upstream supplier portals and downstream OEM customer delivery schedules (EDI/JIT/JIS delivery models). 10. Value Realization, AI/ML & Analytics - Drive the adoption of predictive analytics, AI/ML models, and Power BI operational dashboards to increase Overall Equipment Effectiveness (OEE) and minimize unscheduled downtime. - Track strict KPIs, business cases, and return on investment (ROI) across all digital initiatives. 11. Team & Vendor Management - Build, mentor, and lead a high-performing internal team of OT/IT engineers, system architects, and data analysts. - Manage third-party vendors, OEMs, platform providers, and system integrators for custom solution delivery and SLA compliance. Required Skills & Experience - Education: Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Mechatronics, or Computer Science). - Experience: 20+ years of total IT/OT experience in manufacturing, with at least 7+ years in a senior leadership role driving digital transformation. Direct experience in automotive or discrete manufacturing is required. - Enterprise & Product Systems: Deep expertise in SAP integration (PP, PM, QM, MM) and PLM platforms (Siemens Teamcenter, PTC Windchill). - Industrial Technologies: Expertise in MES/MOM architecture, PLCs, SCADA, OPC-UA, industrial networks (Modbus, Profinet), edge devices, and IoT platforms (ThingWorx, Azure IoT, AWS IoT). - Cybersecurity Frameworks: Practical knowledge of OT network security, network segmentation (Purdue Model), and ISA/IEC 62443 standards. - Quality & Manufacturing Standards: Familiarity with IATF 16949 quality standards, Lean Manufacturing, TPM, and OEM supplier guidelines. - Project & Change Management: Proven track record of managing multi-million-dollar digital initiatives, multi-plant deployments, and organizational change management (OCM). Key Competencies - Strategic thinking and business acumen (connecting digital tools directly to P&L/OEE performance) - Transformational leadership and team building - Cross-functional stakeholder management (bridging IT, OT, Engineering, Quality, and Plant Operations) - Data-driven decision making and financial ROI mindset - Strong executive communication and vendor negotiation skills