Labor Optimization Engineer Jobs

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Industrial Analytics Engineer L4

Wipro Limited Boston, MA

Boston, MA

Today

$60k - $135k/yr Full time Capacity Planning Data Analysis Data Analytics

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Job Description

The Industrial Engineering Analytics Engineer will design and apply advanced analytical models that support manufacturing efficiency, capacity planning, and cost optimization. This onsite role in Boston focuses on AI-driven industrial engineering analytics, data modeling, and shop-floor integration to enable real-time visibility and decision-making.

Key Responsibilities

Build and maintain capacity models including target versus forecast versus gated capacity, using cycle time, OEE, yield losses, and bottleneck analysis
Develop labor models to improve headcount planning, utilization, and labor cost (LOH) across production systems
Create and assess business cases for capital investments, including ROI, IRR, NPV, and cost-benefit analysis
Lead COGS modeling across labor, overhead, scrap, and process-driven cost components
Support factory layout, site planning, and material flow decisions through data-driven insights and modeling
Conduct scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans
Use and/or develop factory simulation models (FlexSim, AnyLogic, Simio) to analyze throughput, bottlenecks, and system performance
Support factory ramp-up, installation, and operational readiness through model validation and performance tracking
Partner with Manufacturing, Operations, Supply Chain, Finance, and Engineering teams to align models with operational constraints and business needs
Translate analytical outputs into clear executive-level insights and recommendations
Collaborate with MES and Controls teams to integrate shop-floor data with IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards
Introduce and implement AI-driven tools and platforms to strengthen 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 to improve capacity, throughput, and cost optimization
Define best practices for data quality, model standardization, and system integration across the organization

Required Qualifications

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

Technologies

FlexSim
AnyLogic
Simio
MES

Mandatory Skills

Robotics

Experience

5-8 Years

Role Overview

The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization.

Location and Compensation

Location: Boston, MA (onsite)

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

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