Energy Risk Technical Program Manager

Google LLC

San Francisco, New York (CA, NY)

On-site

USD 192,000 - 278,000

Full time

4 days ago
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Job summary

Google LLC is seeking a Share Technical Program Manager, Energy Risk in San Francisco/NY. The role bridges risk modeling, financial analysis, and software engineering across Google's energy portfolio.

You’ll lead cross‑functional programs, shape risk frameworks, and guide commercial teams on hedging and risk allocation while collaborating with data engineers and scientists to scale analytics tools.

Qualifications

  • Bachelor’s degree in a technical or quantitative field or equivalent experience.
  • 8 years in program management and cross-functional leadership.
  • Experience bridging quantitative risk modeling, finance, and software/data engineering.
  • Experience in energy sector with wholesale power markets or utility-scale portfolios.
  • Experience of energy risk management principles and quantitative analysis.

Responsibilities

  • Establish, manage, and refine risk frameworks across Google’s energy portfolio.
  • Translate analytics into actionable insights shaping long-term energy strategy.
  • Lead cross-functional programs spanning Origination, Procurement, Operations, Finance and Data Science.
  • Advise on optimal risk allocation, hedging, and mitigation strategies within risk limits.
  • Collaborate with engineers to build scalable analytics tools and dashboards.

Skills

Program management
Cross-functional coordination
Quantitative risk analytics
Energy risk management

Education

Bachelor's degree in a technical or quantitative field
Master's degree in a quantitative field

Tools

Python
SQL
C++

Job description

Google LLC is seeking a Share Technical Program Manager, Energy Risk in San Francisco/NY. The role bridges risk modeling, financial analysis, and software engineering across Google's energy portfolio.

You’ll lead cross‑functional programs, shape risk frameworks, and guide commercial teams on hedging and risk allocation while collaborating with data engineers and scientists to scale analytics tools.

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