Project Engineer III-ENG

Senior Project Engineer/Manager, EPC Portfolio Performance & Analytics

The Senior Project Engineer/Manager, EPC Portfolio Performance & Analytics supports the Power EPC organization by developing and managing portfolio-level performance reporting, KPI frameworks, data governance standards, and business analytics. This role serves as the central point of accountability for project data quality, portfolio dashboards, executive reporting, and performance insights across engineering, procurement, and construction projects.

Working closely with Project Directors, Project Managers, Project Engineers, Project Controls, Proposal Managers, and IT teams, the position provides accurate, actionable information to support decision-making, improve project delivery performance, and drive continuous improvement. The role also supports digital transformation initiatives through automation, business intelligence tools, and emerging AI-enabled solutions.

- Bachelor's degree in Engineering, Construction Management, Business Analytics, Project Management, or a related field.
- Preferred: MBA or Master's degree.
- Preferred certifications: PMP, Lean Six Sigma, or Power BI.
- 7+ years of experience in engineering, project management, project controls, project performance, or related functions.
- Experience supporting large EPC projects and developing executive-level performance reporting.
- Strong background in data analytics, KPI development, and business intelligence solutions.
- Demonstrated success leading process improvement initiatives.
- Preferred experience in power generation, utility, portfolio management, and implementation of AI or digital reporting solutions.
- Advanced proficiency in Microsoft Excel, Power BI, Power Query, data visualization, KPI management, portfolio performance reporting, forecasting, and data governance.
- Preferred: SQL, Power Automate, Primavera P6, Microsoft Project, SharePoint/Aconex, and ERP project management systems.

Authority

This position establishes project reporting standards, KPI methodologies, and data governance requirements; audits project information; drives correction of reporting deficiencies; and escalates recurring data quality issues to leadership as necessary.

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