Expert, Quantitative Analyst - Resiliency, Strategy, and Partnerships

About the position The System Performance, Reliability and Resiliency Strategy team within the overall Electric Transmission and Distribution Engineering organization is responsible for planning, organizing, and managing the resources necessary to successfully execute PG&E’s Electric Reliability Strategy and initiatives. Within this department the Resiliency Strategy and Partnerships team will lead the long-term reliability and resiliency strategy. This work will include driving the development of related IEEE/IEC, FERC/NERC, EEI/IUNG/AEIC standards. Leads the application of advanced analytics, including data science, machine learning, operations research, engineering, and economic modeling, to analyze complex energy systems and inform high-impact business, regulatory, and investment decisions. Serves as a technical expert, shaping analytical approaches and driving the development of quantitative models that support enterprise strategy, policy, financial planning, and procurement. Designs, develops, and oversees the execution of sophisticated models, algorithms, and decision-support tools using large, diverse datasets. Provides leadership across the full analytics lifecycle, including data engineering, modeling, and visualization, while ensuring technical rigor, scalability, and continuous improvement. Partners with cross-functional teams, senior leadership, and external stakeholders to resolve complex analytical challenges and align solutions with business objectives. Translates complex technical analyses into clear, executive-level insights and recommendations that influence PG&E’s strategic and regulatory positions. Builds and maintains strong internal and external relationships and represents the company in industry forums, contributing thought leadership in quantitative modeling and energy system analytics. This position follows a hybrid work model, requiring employees to report to their assigned office location at least two or three days per week. The remaining days may be worked remotely, depending on business needs. The headquarters is located in the Oakland General Office.

Responsibilities

• Works independently with internal and external stakeholders with guidance on the most complex issues, development of new and innovative data and quantitative modeling, research, etc.
• Extracts, transforms, and loads data from dissimilar sources across internal and external sources.
• Proactively identifies future challenges, develops recommendations for resolution, evaluates, and develops new analytic tools and processes for the department.
• Responsible for maintaining and updating complex models and complex analytical assumptions.
• Develops or assists in the development of industry-wide best practices.
• Coaches, mentors, and trains others.
• Serves as an expert witness or expert witness assistant.
• Prepares and may lead the preparation of testimony on complex analyses and policy issues
• Examines alternate solutions to a problem, effectively troubleshoots various issues and analyses, and provides findings and recommendations for internal clients and external stakeholders.
• Provides critical and insightful assessments of third-party work products and comparisons to internal work products.

Requirements

• Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business, or equivalent field.
• Job-related experience 6 years, OR Master’s Degree and 5 years job-related, OR Doctorate and 3 years

Nice-to-haves

• Advanced Degree
• Job-related experience 8 years
• Expertise in quantitative energy system modeling and analysis frameworks and techniques.
• Knowledge of data science, machine learning, operations research, engineering, or economics analytical modeling tools and programming languages.
• Experience at electric or natural gas utilities, independent power producers, wholesale energy market participants, regulatory agencies, consulting firms, or similar organizations
• Demonstrated ability to take a conceptual issue and independently design and complete innovative analysis to draw meaningful conclusions.
• Demonstrated ability to lead large and complex projects working with cross-functional teams.
• Excellent oral and written communication skills and ability to concisely convey information based on unique audience needs.
• Demonstrated capability in planning and prioritizing work to meet commitments aligned with organizational goals.

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