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Director of Global Energy Analytics, Insights and Intelligence

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: California

Responsibilities

  • Lead market intelligence and analytics efforts to identify scalable energy and electrification opportunities across Prologis’ portfolio.
  • Develop and maintain analytics models that evaluate market risk, opportunity value, interconnection dynamics, and regulatory frameworks.
  • Drive data-informed underwriting, pricing, and structuring of distributed energy and infrastructure investments.
  • Build scalable dashboards, KPIs, and predictive analytics capabilities to optimize operational and portfolio performance.
  • Provide cost/benefit analytics support to front-end engineering & development teams during value engineering stages to help optimize economic performance.
  • Identify asset-level revenue optimization opportunities (e.g., new rate opportunities, load shaping, ancillary services, cost saving, where applicable).
  • Define and execute a pragmatic AI and machine learning roadmap focused on business value, operational efficiency, and asset optimization.
  • Champion embedded AI/ML integration within hardware and software vendor product roadmaps from virtual power plant orchestration, site-level energy management systems, and automation.
  • Partner cross-functionally with technology, development, customer solutions, and innovation teams to scale new energy products and capabilities.
  • Serve as a strategic advisor to senior leadership on energy strategy, electrification trends, and innovation priorities.
Requirements
  • 7+ years of experience in energy markets, analytics, strategy, or energy technology.
  • Strong understanding of distributed energy technologies and commercial or industrial energy applications.
  • Experience building analytics capabilities, forecasting tools, or data products.
  • Experience applying AI and machine learning solutions within energy systems or infrastructure environments.
  • Ability to operate across strategy, analytics, and execution in a fast-paced environment.
  • Bachelor's degree preferred or equivalent experience.
Hard Skills
  • Analytics models
  • Market risk evaluation
  • Predictive analytics
  • Cost/benefit analysis
  • AI solutions
  • Machine learning
  • Data products
  • Forecasting tools
  • Dashboard development
  • Revenue optimization
Soft Skills
  • Strategic advising
  • Cross-functional collaboration
  • Operational efficiency
  • Fast-paced execution
  • Leadership
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