Industrial Analytics Engineer L4

Wipro Limited is seeking an Industrial Analytics Engineer L4 to help advance AI-driven industrial engineering analytics. Based in Boston, MA on an onsite basis, the role focuses on building modeling and analytics capabilities that improve manufacturing efficiency, capacity planning, and cost optimization through shop-floor data and real-time visibility.

In this position, you will develop analytical models spanning capacity, labor, cost, and business cases, while partnering across Manufacturing, Operations, Supply Chain, Finance, Engineering, and MES and Controls to align models with operational constraints and decision needs.

Key Responsibilities

• Build and maintain capacity models (target vs. forecast vs. gated capacity) using cycle time, OEE, yield losses, and bottleneck analysis
• Develop labor models to optimize headcount, utilization, and labor cost (LOH) across production systems
• Create and evaluate capital investment business cases, including ROI, IRR, NPV, and cost-benefit analysis
• Lead COGS modeling covering labor, overhead, scrap, and process-driven cost components
• Support factory layout, site planning, and material flow decisions using data-driven insights and modeling
• Run scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans
• Utilize and/or develop factory simulation models such as FlexSim, AnyLogic, and Simio to analyze throughput, bottlenecks, and system performance
• Support factory ramp-up, installation, and operational readiness through model validation and performance tracking
• Collaborate with cross-functional teams (Manufacturing, Operations, Supply Chain, Finance, Engineering) to align models with real-world constraints and business needs
• Translate complex analytical outputs into clear, executive-level insights and recommendations
• Work with MES and Controls teams to integrate shop-floor data into IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards
• Introduce and implement AI-driven tools and platforms to enhance industrial engineering analytics and decision-making
• Design and manage scalable data models and data architecture for IE, capacity, labor, and cost analytics
• Develop standardized systems, frameworks, and governance for data modeling, analytics, and reporting
• Automate data collection, validation, and reporting pipelines using AI and advanced analytics tools
• Enable predictive analytics for capacity, throughput, and cost optimization
• Establish best practices for data quality, model standardization, and system integration across the organization

Requirements

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related field
• 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis
• Strong understanding of manufacturing systems, capacity planning, and industrial engineering principles
• Experience: 5-8 years

Technologies

• FlexSim
• AnyLogic
• Simio
• MES

Mandatory Skills

• Robotics

Compensation: USD 60,000 - 135,000 per year.