About this role
Other locations: Primary Location Only At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager – Business Consulting (Operational Technology, Digital Transformation & IIoT) Experience Required : 9–12 years The opportunity We are looking for a Senior Manager – Business Consulting (Operational Technology) to join the EY GDS Consulting team, with a focus on OT modernization, Digital Transformation, Industrial IoT (IIoT), Intelligent Automation, Data Engineering, and OT Cybersecurity. As part of EY Consulting, you will lead strategic transformation engagements for clients across manufacturing, automotive, aerospace, life sciences, energy, and other industrial sectors. In this role, you will act as a bridge between plant operations, engineering, IT, cybersecurity, and business stakeholders, driving IT–OT convergence and enabling smart, secure, and resilient industrial operations. You will design and deliver end-to-end OT and digital architectures across shop-floor systems, edge platforms, data pipelines, analytics layers, and enterprise applications, ensuring availability, safety, and regulatory compliance. You will leverage deep expertise in OT systems, IIoT platforms, real-time data engineering, analytics, AI/ML, and cybersecurity-by-design to create measurable business value, while mentoring teams, shaping client roadmaps, and contributing to EY’s thought leadership in digital and intelligent operations. What you will do Lead the design and delivery of OT and IIoT-enabled digital transformation solutions across manufacturing, automotive, aerospace, life sciences, energy, and process industries. Own end-to-end solution architecture spanning OT systems (PLC, SCADA, DCS, MES/MOM, Historians), edge platforms, data ingestion layers, analytics engines, and enterprise IT systems. Drive IT–OT convergence initiatives, defining architecture standards, governance models, and operating procedures for connected industrial environments. Develop and present digital, data, and OT transformation roadmaps, including use-case prioritization, business case development, and phased implementation plans. Design and implement real-time and batch data pipelines for high-frequency industrial, asset, and energy data using modern streaming and data engineering frameworks. Apply advanced analytics, AI/ML, anomaly detection, and optimization techniques to enable predictive maintenance, asset health monitoring, energy optimization, quality monitoring, and operational excellence. Ensure OT cybersecurity-by-design, including secure device connectivity, network segmentation (zones and conduits), identity and access management, secure APIs, and protection of critical industrial assets. Ensure OT solutions meet high availability, reliability, safety, and regulatory compliance requirements (e.g.,