Project Estimation Manager

EDF Renewables North America

. Lead evaluation and aggregation of technical assumptions for renewable energy projects .

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 evaluation, financial modeling, and risk analysis, with a strong focus on leveraging AI and machine learning for improved estimation workflows. Capable of leading cross-departmental teams and communicating complex technical concepts effectively to diverse audiences.

Highest-signal resume keywords

Renewable Energy Project DevelopmentFinancial ModelingRisk AnalysisArtificial IntelligenceData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Project ManagementMonte Carlo SimulationsData AnalysisPythonSQL OptimizationNoSQL DatabasesData ArchitectureDataOpsData Quality FrameworksMetadata Management

Soft Skills

Problem SolvingCommunicationLeadershipCollaborationStrategic Thinking

Tools & Technologies

AWSGCPAzure

Certifications & Qualifications

Professional Certifications

Industry Keywords

Renewable EnergyProject ValuationCost-EffectivenessRisk MitigationData SecurityPrivacy RegulationsCompliance Requirements

Tech Stack

Tools & technologies

AWSAzureGoogle Cloud PlatformNoSQLPythonSQL

About the role

Key responsibilities & impact

Lead evaluation and aggregation of technical assumptions for renewable energy projects
Analyze project designs, construction and equipment costs, operating expenses, and energy estimates
Challenge assumptions and methodologies to identify cost savings, risk mitigation, and improved outcomes
Ensure estimates support Development, Origination, Valuations, Project Management, and Portfolio Management teams
Define, govern, and evolve estimation frameworks, assumptions hierarchies, and risk quantification methodologies
Lead cross-departmental teams in identifying project risks and developing mitigation strategies
Explain project assumptions and changes to project teams and leadership
Align analysis complexity with investment approvals, project capitalization, and Final Investment Decisions
Recommend improvements to project value, feasibility, cost-effectiveness, and long-term performance
Improve estimation workflows by removing bottlenecks and implementing scalable, repeatable solutions
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
Coach and provide technical direction and review to analysts and cross-functional contributors without formal supervisory authority
Travel approximately 5% for conferences or internal meetings

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
Ability to independently set methodologies, drive standards, and influence strategy across organizational boundaries
Experience with renewable project valuation, financial modeling, and/or risk analysis, including Monte Carlo simulations
Ability to analyze and interpret complex datasets for project insights and data-informed decisions
Experience leveraging Artificial Intelligence and machine learning
Hands-on data engineering, software development, or data architecture experience preferred
Ability to work with cross-functional technical and commercial teams
Ability to identify problems, prioritize, and propose solutions
Ability to communicate highly technical concepts to technical and non-technical audiences
Ability to manage multiple concurrent projects and provide accurate, timely updates
Proficiency in Python and its data ecosystem preferred
Proficiency in SQL optimization, NoSQL databases, and distributed database architectures preferred
Proficiency with AWS, GCP, or Azure preferred; professional certifications highly desired
Knowledge of DataOps, data quality frameworks, and metadata management preferred
Understanding of data security, privacy regulations, and compliance requirements
Bilingual English/French, oral and written

Benefits

Comp & perks

Competitive bonus incentives; eligible for 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