▷ [11/10/2025] Manager - Manufacturing It

Responsibilities Key Deliverables Automation Ideation and Technology Leading shop floor machine and process studies discussing and supporting optimized solutions Understand the data inputs available from machines processes etc and co-relate with objectives associated with specific projects Automation and integrated workflows to enable data fidelity and collection of data at source Work with following areas IoT sensors actuators interfaces Data extraction and edge calculations Parameter sampling validation and storage Embedded controls Edge analysis sampling and data normalization Scenario creation for prediction of faults performance Data transformation and transfer Edge Analytics with signal-data transformation Scenario creation for Machine-Line-Shop Manufacturing Analytics - Machines Processes Derive the visualization and interfaces for a range of manufacturing digitization initiatives Projects Sustainenace Project planning and Management using MS Project or similar tools Engagement details for projects milestones in coordination with project execution team and vendors and maintaining project tracking status across multiple projects Deployment of MES and digitisation projects in manufacturing leading the project from initial stages to Go Live and handover to sustenance Interface of sustenance functions and automation of the same to enable anticipated support on devices applications and overall make the existing systems automated and capable of remote support through Nerve Centre Budget management of project and digitisation development PoCs as applicable Project reviews with stakeholders at plant level and central coordination for the same PR to PO coordination with Asset Management Close coordination with all plant heads and digital champions for Scoping of machines lines and for Project deployment Stakeholder management of Close synchronisation with IT infra team on Server Cloud and infrastructure requirements for projects involving compute storage bandwidth scaling etc Regular interaction with plan teams to analyses penetration of MES Digital modules Support to realize the KPIs of individual plants is a must Deviation in realizing benefits to be tracked on plant related dashboards Noting down positives of given dashboards reports and requirements to improve analysis are a key aspect of these interactions Additional skills or exposure He She should have Sound technical knowledge of industrial control systems and MES IoT Eco space Hands on experience in PLC programming Kepware Tag mapping industrial control buses Modbus TCP IP Profinet Profibus etc Hands on experience with Sensors and Siemens Schneider Rockwell Mitsubishi etc PLCs Functional understanding of data sampling signal conditioning and analysis of linear and non -linear systems Experience 10 years Industry Preferred Automotive OEM Qualifications Bachelor s Degree B E B Tech Branch Electrical Electronics Mechanical Instrumentation Engineering with minimum 60 aggregate or equivalent CGPA above General Requirements Sensorics Digital Analog PLC HMI SCADA Ladder programming screen designing and SCADA connectivity Communication protocols Modbus TCP IP Profibus Profinet direct to DB ISA 95 Architecture and understanding Computer applications Architecture and understanding IIS Data engineering Understanding the volume and velocity of data flow and data types Data Analytics Basic concepts of learning models application of statistical methods Databases Microsoft SQL Server database Oracle 12c or above PostgreSQL Reporting Tools SSRS Power BI QlikSense Cloud Azure Amazon AWS Google GCP