Job Description

Project Role :

Enterprise Technology Architect

Project Role Description :

Architect complex end-to-end IT solutions across the enterprise. Apply the latest technology and industry expertise to create better products and experiences.

Must have skills :

Aveva Predictive Analytics (Prism)

Good to have skills :

NA

Minimum

12

year(s) of experience is required

Educational Qualification :

15 years full time education



Summary: As a AVEVA Platform Lead, you will lead the design, deployment, and optimization of AVEVA-based digital operations solutions across high-value industries, with a primary focus on Semiconductor, GPU Manufacturing, and Data Centers, and cross-industry applications in Oil & Gas, CPG, Warehouse & Automotive sectors. You will leverage AVEVA's MES, Advanced Planning & Scheduling (APS), Unified Operations Center (UOC), and Digital Twin frameworks to enhance capacity planning, cycle time reduction, and throughput optimization. Your expertise will drive data-driven decision-making, enabling enterprises to visualize, simulate, and optimize operational performance across complex production and infrastructure networks. Roles & Responsibilities: 1. Lead design and implementation of AVEVA MES for real-time process visibility, resource utilization, and performance tracking (OEE, cycle time, and yield). 2. Configure and deploy AVEVA Advanced Planning & Scheduling (APS) for capacity-aware production scheduling, tool/line optimization, and load balancing. 3. Develop Digital Twin and What-If Simulation models using AVEVA integration frameworks to evaluate process improvements, layout reconfigurations, or capacity expansion scenarios. 4. Implement AVEVA Unified Operations Center (UOC) dashboards for end-to-end visibility across facilities, integrating data from MES, SCADA, ERP, and historian systems. 5. Collaborate with cross-functional teams to identify bottlenecks and optimize throughput using predictive analytics, scheduling logic, and asset performance insights. 6. Integrate AVEVA systems with enterprise tools (ERP, WMS, CMMS, or SCADA) for seamless data flow and unified KPI reporting. 7. Lead customer workshops, requirement studies, and initiatives to define architecture, functional mapping, and best practices for cycle time and capacity optimization. 8. Validate solutions using real-world process data and prepare detailed documentation of architecture, configuration logic, assumptions, and performance results. 9. Support PoC and pilot execution in Semiconductor or GPU fabs, focusing on measurable KPIs (cycle time reduction %, capacity gain %, OEE uplift). 10. Contribute to AVEVA asset creation (templates, libraries, and reusable models). Professional & Technical Skills: Must Have Skills: 1. 4-6 years of hands-on experience with AVEVA platforms, including MES, APS, UOC, and PI System integration. 2. Proven track record in cycle time analysis, capacity planning, and throughput optimization for manufacturing or infrastructure systems. 3. Strong understanding of process orchestration, resource allocation, and performance KPIs (OEE, MTTR, yield, utilization). 4. Experience in integrating AVEVA tools with ERP (SAP/Oracle), SCADA, historians, or third-party scheduling tools (PlanetTogether, Simio). 5. Solid knowledge of industrial process operations in one or more domains, Semiconductor/GPU manufacturing, Data Centers, Oil & Gas, or CPG. 6. Excellent problem-solving and system-design skills with a focus on translating business challenges into AVEVA-based digital solutions. 7. Strong communication and stakeholder management skills to collaborate across engineering, IT/OT, and operations teams. Good to Have Skills: 1. Familiarity with Digital Twin development, simulation integration, and What-If scenario modeling (Simio / AnyLogic / MATLAB integration). 2. Experience in AVEVA PI System data modeling, contextualization, and analytics (Asset Framework, Event Frames). 3. Scripting proficiency for automation or data transformation (Python, SQL, or C#). 4. Exposure to edge data connectivity (OPC UA, MQTT, REST APIs) and cloud integration (Azure / AWS for AVEVA Connect). 5. Knowledge of AVEVA Engineering / Process Simulation tools for cross-functional integration. 6. Industry exposure to high-mix, high-value manufacturing environments (semiconductor, GPU, or electronic assemblies). Additional Info: 1. Education: Bachelor's or Master's degree in Mechanical, Industrial, Electrical, or Manufacturing Engineering; or related technical field. 2. Experience: 10-12 years of experience in industrial digitalization, MES/APS implementation, and operations optimization, including process optimization, IT/OT convergence, digital twin development, and system integration across manufacturing and infrastructure domains. 4-6 years hands-on with AVEVA tools. 3. Certifications (Preferred): AVEVA MES or UOC Implementation Certification; AVEVA PI System or APS Specialist Certification. 4. Work Location: Bengaluru or Pune




15 years full time education