Project Controller
Pubblicato il 12-08-2026 - Anaergia in Milano
Anaergia (TSX: ANRG) is a global leader in offering sustainable solutions for the production of clean energy and the conversion of waste streams to resources. Through a proven portfolio of proprietary technological solutions, Anaergia maximizes the generation of renewable energy, diversion of waste from landfill and reduction of greenhouse gases for customers across the municipal, industrial, commercial and agricultural sectors. Headquartered in Burlington, ON, and through its multiple subsidiaries across North America, Europe, Africa, and Asia, Anaergia is trusted at more than 1,600 installations globally.
Job Overview
The Project Controller is a key role within companies operating in the Engineering & Procurement (EP) and Engineering, Procurement & Construction (EPC) sectors.
Reporting within the Finance function and working in close collaboration with Project Management, the Project Controller is responsible for ensuring the financial and economic control of projects by supporting effective planning, monitoring project costs and revenues, and managing cash flows.
The Project Controller serves as the primary interface between the Project Management, Procurement, and Finance functions, contributing to the achievement of project profitability targets and the optimization of project cash flows.
Key Responsibilities
Planning and Budgeting
Support the Project Manager in the preparation of the project budget and the development of the project cost and revenue plan, including the Cost Breakdown Structure (CBS) and Financial Plan.
Establish project profitability targets and define the financial and economic baselines.
Cost Monitoring and Forecasting
Monitor and control actual project costs, including materials, labor, subcontracting, and other direct costs.
Periodically update the Estimate at Completion (EAC) and forecast the project's final cost.
Ensure consistency and alignment between actual costs, budget, and forecast throughout the project lifecycle.
Variance Analysi