Expert, Quantitative Analyst - Resiliency, Strategy, and Partnerships

Overview 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. Position Summary 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. PG&E is providing the salary range that the company, in good faith, believes it may pay for this position at the time of the job posting. This compensation range is specific to the job's locality. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, collective bargaining agreements, and internal equity. Although we estimate the successful candidate hired into this role will be placed toward the middle or entry point of the range, the decision will be made on a case-by-case basis based on these factors. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs. A reasonable salary range is: Bay Area Minimum: $129,000 Bay Area Mid-Point: $168,000 Bay Area Maximum: $207,000 Job 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. Qualifications Minimum: 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 Desired: Advanced Degree Job-related experience 8 years Knowledge, Skills, Abilities, and Competencies 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. #J-18808-Ljbffr