Digital Systems Manager

Job Description

COMPANY OVERVIEW : We are a fully Automated High-Efficiency modern Textile mill producing over $ 300 crore in Annual revenue with integrated ERP, IoT, AI and Power BI systems for real time Quality, Productivity and Energy Optimization. Our Operational are digital-first and professionally managed with lean staffing and high asset productivity. Key Responsibilities : System Coordination : Serve as the Single Point of Contact for ERP, IoT, AI/ML, and BI vendors. Monitor live dashboards for production, energy, and quality data; escalate deviations as needed. Coordinate system upgrades , planned downtimes, bug fixes, and business change requests with vendors. Data Analytics & AI Oversight : Operate and maintain AI dashboards and alerts related to Predictive Maintenance, Quality, Yield and Energy Efficiency . Evaluate and assess alternative AI/Data Analytics platforms proposed by vendors, ensuring alignment with business goals. Interpret AI-generated insights for operations teams and facilitate cross-departmental adoption . Ensure accuracy, automation , and utilization of BI reports (e.g., Power BI) in decision-making processes. Validate AI model outputs against production KPIs and real-world outcomes. User Management & IT Oversight: Manage user access , role-based permissions , and report delivery scheduling . Provide basic IT support or liaise with vendors to resolve system outages, RFID tagging issues and downtimes. Ensure secure and continuous operation of IoT gateways and system integrations. Compliance & Documentation: Maintain SOPs for digital system workflows. Enforce data integrity, privacy, and security policies across all digital systems. Maintain comprehensive documentation and knowledge continuity for all deployed AI and data analytics tools. Required Skills & Qualifications : Bachelors Degree in Engineering, Computer Science, IT , or a related technical field. Minimum 8 years' experience in manufacturing environments involving ERP, IoT and automation systems . Strong command of Power BI , basic SQL , MS Office , and other digital reporting tools. Hands-on experience working with or validating AI/ML-driven analytics in production settings. Proficiency in interpreting machine-generated data , KPIs, and conducting root cause analysis. Excellent coordination, problem-solving, and communication skills. Preferred Qualifications: Experience with Microsoft Dynamics 365, SAP , or Odoo . Familiarity with textile manufacturing processes . Experience managing external system integrators or AI vendors . Working knowledge of Microsoft Azure , including IoT Hub, Power BI integration, Azure Active Directory, and cloud monitoring. Ability to evaluate and implement alternative data analytics tools and manage vendor transitions effectively. Key Performance Metrics (KRA) : 99.5% uptime across ERP, IoT, and AI/BI dashboards. Timely resolution of system incidents and escalations (internal and external). High accuracy and adoption of BI reports by department heads. Measurable productivity improvements from AI-driven recommendations (evaluated quarterly). Sustained validation and continuity of AI/analytics systems implemented by external vendors.