Project Estimation Manager

EDF Renewables North America

. Lead cross-functional collaboration with Strategic Procurement, Construction, Engineering, and O&M teams to analyze project designs, costs, and energy estimates .

Posted 9/28/2026full-timeUnited StatesMid-LevelSenior💰 $95,200 - $158,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in renewable energy project development, financial modeling, and risk analysis methodologies, with a strong focus on cross-functional collaboration and strategic insights. Proficient in advanced analytics, data infrastructure, and the adoption of AI and machine learning in project estimation processes.

Highest-signal resume keywords

Renewable Energy Project DevelopmentFinancial ModelingRisk Analysis MethodologiesArtificial IntelligenceCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Project ManagementData AnalysisMonte Carlo SimulationsPythonSQL OptimizationNoSQL DatabasesAWSGCPAzureDataOps

Soft Skills

CommunicationStrategic ThinkingProblem SolvingInfluencingTeam Leadership

Tools & Technologies

PandasNumpyPydanticFastAPIStreamlitAsyncio

Industry Keywords

Project ValuationData Quality FrameworksMetadata ManagementData SecurityCompliance Requirements

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformNoSQLNumpyPandasPythonSQL

About the role

Key responsibilities & impact

Lead cross-functional collaboration with Strategic Procurement, Construction, Engineering, and O&M teams to analyze project designs, costs, and energy estimates
Challenge assumptions and methodologies to identify cost savings, mitigate risks, and improve project outcomes
Ensure estimating processes meet Development, Origination, Valuations, and Project Management expectations
Serve as primary contact for Portfolio Management and align pricing processes and project assumptions with strategic objectives
Define, govern, and evolve estimation frameworks, assumptions hierarchies, and risk quantification methodologies
Lead teams identifying project risks and developing mitigation strategies
Answer project team and leadership questions about assumptions and changes
Align project analysis and estimate complexity with investment approvals, project capitalization, and final investment decisions
Recommend improvements to project value and outcomes
Propose scalable, repeatable process improvements that eliminate bottlenecks and reduce labor costs
Facilitate adoption of AI and machine learning in the estimation process
Advise EPCTS leadership with strategic insights and recommendations
Support the EPC Data Solutions Engineer with advanced analytics and data infrastructure
Provide functional coverage and technical continuity for the Senior Data Solutions Engineer during absences or elevated workload
Perform other duties as assigned

Requirements

What you’ll need

Bachelor’s degree or greater in Engineering, Statistics, Project Management, or a closely related field
5+ years of progressive experience in renewable energy project development, project management, or practical renewable energy experience
Experience with high-profile projects valued at $250+ million
Experience with renewable project valuation, financial modeling, and/or risk analysis methodologies, including Monte Carlo simulations
Ability to analyze and interpret complex datasets
Experience with Artificial Intelligence and machine learning
Proven ability to set methodologies, drive standards, and influence strategy across organizational boundaries
Ability to work with cross-functional technical and commercial teams
Ability to communicate highly technical concepts to technical and non-technical audiences
Ability to manage multiple concurrent projects and provide accurate, timely updates
English/French oral and written proficiency
Preferred proficiency in Python and its data ecosystem: pandas, numpy, pydantic, fastapi, streamlit, asyncio
Preferred proficiency in SQL optimization, NoSQL databases, and distributed database architectures
Preferred proficiency with AWS, GCP, or Azure; professional certifications highly desired
Knowledge of DataOps, data quality frameworks, and metadata management
Understanding of data security, privacy regulations, and compliance requirements
Ability to sit or stand at a computer, walk or stand regularly, and travel approximately 5% for conferences or internal meetings

Benefits

Comp & perks

Competitive bonus incentives; annual bonus program
Comprehensive health and wellness coverage for employees and eligible dependents
RRSP/DPSP generous matching contribution
Favorable paid time off programs
Learning, career development, and advancement opportunities
Mentorship and buddy programs