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EDF Renewables North America

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 9/18/2026full-timeSan Diego • California • United 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 and management, with a strong focus on financial modeling, risk analysis, and data-driven decision-making. Proficient in leveraging Artificial Intelligence and machine learning to enhance estimation processes and project outcomes.

Highest-signal resume keywords
Renewable Energy Project DevelopmentFinancial ModelingRisk Analysis MethodologiesArtificial Intelligence IntegrationCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Project ManagementData AnalysisMonte Carlo SimulationsData EngineeringSoftware DevelopmentPythonSQL OptimizationNoSQL DatabasesAWSGCP
Soft Skills
Proactive Problem IdentificationEffective CommunicationIndependent OperationCoaching and Technical DirectionMulti-Project Management
Tools & Technologies
DataOpsData Quality FrameworksMetadata ManagementDistributed Database ArchitecturesFastAPIStreamlitAsyncio
Certifications & Qualifications
Professional Certifications in Data Engineering
Industry Keywords
Renewable EnergyProject ValuationInvestment ApprovalsProject CapitalizationData Security Regulations

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 Team expectations
  • Serve as primary contact for Portfolio Management, aligning pricing processes and project assumptions with strategic objectives
  • Define, govern, and evolve estimation frameworks, assumptions hierarchies, and risk quantification methodologies
  • Lead cross-departmental teams in identifying project risks and developing mitigation strategies
  • Answer project team and leadership questions about assumptions and changes
  • Align project analysis and estimate complexity with business decision needs, including Investment Approvals, Project Capitalization, and Final Investment Decisions
  • Understand customer needs and recommend improvements to project value and outcomes
  • Propose scalable, repeatable process improvements that remove bottlenecks and reduce internal labor costs
  • Facilitate adoption and integration of Artificial Intelligence 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
  • Indirectly guide analysts and cross-functional contributors through coaching, technical direction, and review
  • 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 other practical renewable energy experience
  • Experience focused on high-profile projects valued at $250+ million
  • Proven ability to operate independently, set methodologies, drive standards, and influence strategy across organizational boundaries
  • Experience with renewable project valuation, financial modeling, and/or risk analysis methodologies, including Monte Carlo simulations
  • Ability to analyze and interpret complex datasets for project insights and data-informed decision-making
  • Experience leveraging Artificial Intelligence and machine learning to drive innovation
  • Ability to work effectively with cross-functional technical and commercial teams
  • Proactive problem identification, prioritization, and solution proposal
  • Ability to add value without specific direction or guidance
  • 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 proficiency, oral and written
  • Preferred: hands-on data engineering, software development, or data architecture experience and ability to deploy enterprise-scale data solutions
  • 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
  • Strong understanding of data security, privacy regulations, and compliance requirements
  • Ability to sit or stand at a computer, walk or stand regularly, and work with office equipment

Benefits

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