Power Generation Asset Manager & Analytics

Grand River Dam Authority

United States

On-site

USD 90,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Benefits package

Job summary

Grand River Dam Authority seeks an Asset Manager - Generation to support maintenance programs and asset strategies for a range of power generation assets. You will drive productivity and reliability while reducing costs, and collaborate on capital planning and performance indicators.

Responsibilities include leading CMMS/Maximo data workflows, developing reports, and providing data-driven investment justifications. A strong background in asset management and analytics is essential.

Qualifications

  • Bachelor’s degree in a relevant field or six years of related experience in T&D or power generation.
  • Experience with asset management, CMMS, or data-driven maintenance planning.
  • Strong data analysis skills and ability to translate data into actionable insights.

Responsibilities

  • Promote a risk-based maintenance approach using CMMS and ERP data for capital decisions.
  • Lead data collection, input field measurements, labor hours, and logs during work execution.
  • Analyze data quality and build reports from the data warehouse; develop KPIs.
  • Support asset lifecycle health with condition assessments and PM plans in Maximo/Hydro Amp.
  • Create Power BI reports to monitor costs, maintenance metrics, and capital investments.

Skills

Power BI
Data analysis
Communication
Problem solving
Excel

Education

Bachelor's degree in Business Administration, Supply Chain Management, Engineering or Technology

Tools

IBM Maximo
Power BI

Job description

Grand River Dam Authority seeks an Asset Manager - Generation to support maintenance programs and asset strategies for a range of power generation assets. You will drive productivity and reliability while reducing costs, and collaborate on capital planning and performance indicators.

Responsibilities include leading CMMS/Maximo data workflows, developing reports, and providing data-driven investment justifications. A strong background in asset management and analytics is essential.

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