Asset Reliability Engineer & Aftermarket Solutions

Atlas Copco Group; Houston (TX); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Atlas Copco Group's LEWA division in Houston, TX seeks an Asset Management Engineer to work with LEWA and Nikkiso products, providing advanced technical support, training, and data-driven maintenance with a sales edge.

You will develop reliability strategies, maintain asset databases, create inventory optimization models, and generate service opportunities through predictive analytics, contributing to revenue growth while maximizing asset uptime.

Qualifications

• Bachelor's degree in Engineering required.
• Five years of relevant experience in manufacturing, reliability engineering, or data analysis.

Responsibilities

• Be a trusted technical advisor to customers, identifying opportunities for revenue generation and maximizing equipment performance.
• Develops and maintains comprehensive asset reliability databases across brands, tracking MTBF/MTTF, failure patterns and performance trends.
• Creates data-driven stocking strategies and inventory optimization models ensuring optimal parts availability while minimizing working capital.
• Generates qualified leads and service opportunities through predictive analytics for maintenance needs and upgrades.
• Develops reliability-centered maintenance strategies and preventive maintenance schedules to maximize asset uptime.
• Creates KPI dashboards and reports translating reliability data into commercial insights for strategic revenue growth.

Skills

Asset management

Reliability analysis

Data analytics

Inventory optimization

Predictive analytics

Education

Bachelor's degree in Engineering

Tools

MS Excel

CRM/ERP experience

Job description

Atlas Copco Group's LEWA division in Houston, TX seeks an Asset Management Engineer to work with LEWA and Nikkiso products, providing advanced technical support, training, and data-driven maintenance with a sales edge.

You will develop reliability strategies, maintain asset databases, create inventory optimization models, and generate service opportunities through predictive analytics, contributing to revenue growth while maximizing asset uptime.