Dean Foreman

Senior Economist @General Motors

Washington, DC, US
MOBILE NUMBERS
+18•••••••89

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WORK HISTORY

Apr 2026 — Present

Senior Economist @General Motors

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Washington, DC, US

EDUCATION

N/A

University of Florida

Ph.D.

N/A

University of South Carolina

BA/BS

SKILLS

Executive ManagementBusiness PlanningPetroleumLeadershipForecastingProject ManagementManagementGasRisk ManagementFinancial ModelingBusiness StrategyEnergy EconomicsEnergy IndustryEnergyBusiness DevelopmentEnergy MarketsNatural GasPricingOil & GasEconomic ModelingFinancial AnalysisMarket AnalysisCross-Functional Team LeadershipEconometricsFinancePortfolio ManagementCompetitive AnalysisEconomicsStrategic PlanningAnalytical SkillsOil & Gas IndustryAnalysisInvestmentsStrategyMergers & AcquisitionsUpstreamDue DiligenceChange Management

ABOUT DEAN FOREMAN

I am a global strategy and competitive intelligence executive with more than two decades of experience helping organizations make high-stakes, long-term decisions in complex, capital-intensive environments. I specialize in informing capital allocation, portfolio prioritization, and long-range investment decisions under uncertainty—particularly where commodity cycles, infrastructure constraints, technology adoption, and regulation intersect. My work focuses on translating market, competitor, technology, and regulatory signals into practical, decision-ready guidance that supports profitable growth, portfolio optimization, and operational resilience. I work closely with senior leadership teams to translate complex economic and market signals into clear, actionable insights. My communication style is fact-based, concise, and focused on improving decision quality. I work comfortably across strategy, finance, product, technology, and operations to align analysis with real-world execution. I have led enterprise-wide intelligence, forecasting, and market-analysis programs at ExxonMobil, Talisman Energy, Sasol, Saudi Aramco, the American Petroleum Institute, and the Texas Oil & Gas Association. My experience includes financial benchmarking, early-warning systems, scenario design, and the modernization of analytics platforms using Python- and SQL-based data pipelines and visualization tools. Increasingly, my work spans industrial manufacturing, infrastructure-intensive businesses, global supply-chain exposure, electrification, autonomy, and other large-scale capital systems where long-cycle investment decisions and risk management are critical. Areas of expertise include: • Capital allocation, portfolio strategy, and long-range planning • Market intelligence, forecasting, and trend analysis • Cross-commodity, macroeconomic, and structural modeling • Scenario design and decision-making under uncertainty • Executive, stakeholder, and board-level communication • Policy, regulatory, and reliability analysis • Analytics and visualization platforms (Power BI, Python, SQL) Let’s connect if you’re interested in decision-focused economic insight, forecasting frameworks, market structure analysis, or enterprise-scale strategic research programs.

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