Asset Management Engineer Specialist

Position: Asset Management Engineer Specialist

Location: Detroit, MI

Duration: 12+ months

Requires an Engineer with Substation or underground experience

JOB DESCRIPTION:

Summary:

Asset Management Engineer is responsible for managing and optimizing the life cycle of physical assets to ensure they serve the intended purpose efficiently and effectively. This includes the development of the business process around it. Builds and maintains effective relationships with key internal and/or external decision makers.

Key Responsibilities

• Develop, implement, and maintain asset management strategies aligned with organizational goals and applicable standards
• Analyze asset performance, reliability, and lifecycle costs to support data driven investment and maintenance decisions.
• Define asset criticality, maintenance strategies to optimize risk, cost, and performance.
• Support and maintain asset management systems (e.g., EAM/CMMS platforms), ensuring data accuracy and integrity
• Proactively analyze asset performance data, benchmark performance, identifying common failures, and formulating corrective actions. Assess the life cycle of assets and make recommendations for upgrades or replacements

• Develop reports on asset records, including information on their condition, location, and develop cost-effective asset management solutions to minimize expenses
• Establish and monitor asset performance metrics (KPIs) such as availability, reliability, and total cost of ownership
• Ensure compliance with regulatory, safety, and internal governance requirements related to asset management
• Contribute to continuous improvement initiatives, standards development, and asset management documentation

Required Qualifications

• 3–7 years of experience in asset management, reliability engineering, maintenance engineering, or a related role
• Working knowledge of asset lifecycle management and reliability-centered maintenance concepts.
• Experience using asset management or CMM/EAM systems
• Strong analytical, problem-solving, and data interpretation skills.

Education: A bachelor's degree in engineering (civil, mechanical, electrical) or related field is required.