Asset Manager, Electrical & Mechanical

About the role: Eagle Creek Renewable Energy is seeking a motivated and detail-oriented professional to join our Asset Management team as an Asset Manager. This role is responsible for overseeing the condition, performance, and lifecycle planning of key hydroelectric assets, with a focus on power plant equipment. The successful candidate will bring a strong technical foundation in plant operations or engineering, combined with analytical skills to support data-driven decision-making. Proficiency in tools such as Power BI and SQL is highly desirable to enhance asset performance monitoring and reporting. While programming expertise is not required, experience with automation or data integration would be considered an asset. Most importantly, the candidate will demonstrate problem-solving ability, adaptability, and a collaborative approach to managing a diverse set of responsibilities across the asset portfolio.

If you are a proactive and analytical thinker with a passion for leveraging data to drive improvements, we encourage you to apply for this exciting opportunity with our Eagle Creek Renewable Energy Team as an Asset Manager. Join us in shaping the future of our asset management strategies and contributing to the success of our organization.

Why Eagle Creek?

• A comprehensive benefits plan: Medical, Dental, Vision, HSA, FSA, Commuter benefits, Voluntary Life, 401(k) Match.
• Eleven paid holidays per year, plus a competitive PTO schedule and time off to volunteer or give back to your community.
• Access to a company-funded Employee Assistance Program.
• Employee discounts through ADP LifeMart.
• Tuition Reimbursement as well as access to trainings & mentors for Career Progression and Personal Development.

What You’ll Do:

• Collect and analyze plant performance metrics to identify areas for improvement.
• Monitor asset health using condition monitoring, SCADA, and testing data (e.g., vibration, oil analysis, thermography, relay testing)
• Collaborate with Operations and Engineering to optimize preventive and predictive maintenance programs.
• Contribute to the building and continuous improvement of the Computerized Maintenance Management System (CMMS), currently utilizing Fiix.
• Track and prioritize critical asset issues, recommending capital projects based on condition, performance, and risk.
• Develop and implement lifecycle strategies for electrical and mechanical systems that improve reliability and efficiency.
• Coordinate and contribute to failure investigations and root cause analyses for mechanical and electrical equipment.
• Work with Operations, Engineering and Project Management teams to ensure outage priorities reflect both reliability requirements and generation/revenue impacts.
• Support the development of Power BI dashboards for effective visualization and interpretation of data.
• Support compliance efforts by coordinating activities that meet regulatory, environmental, and safety requirements for electrical and mechanical equipment.

Day to Day Tasks:

• Monitor and assess performance of turbines, generators, transformers, and related equipment.
• Coordinate preventive, predictive, and corrective maintenance activities.
• Support outage planning and execution to optimize reliability and minimize downtime.
• Recommend capital projects based on equipment condition, performance, and risk.
• Assist in the creation and enhancement of Power BI dashboards for data visualization.
• Participate in the development and implementation of new tools/models for efficient data collection and trend analysis.

Preferred Qualifications:

• Strong mechanical aptitude and knowledge of generators, turbines, transformers, switchgear, and other balance-of-plant systems.
• The ability to travel as needed (~25%)
• Experience in the utilities sector is a plus but not mandatory.
• Ability to interpret data from Power BI or other data visualization dashboards.
• Bachelor’s degree in Electrical, Mechanical, or Reliability Engineering.
• Proficiency in coding/programming experience with Python (Pandas & Matplotlib), PowerBI, and SQL.
• Familiarity with VT Scada or other SCADA systems.