Principal, Quantitative Power System Analyst

Requisition ID # 173330 

Job Category: Business Operations / Strategy 

Job Level: Manager/Principal

Business Unit: Energy Delivery

Work Type: Hybrid

Job Location: Oakland

Department 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 tools and processes that proactively estimate and anticipate grid conditions at the circuit level to provide a more resilient electric grid.

Position Summary

This position represents a next-generation utility leadership role focused on advancing predictive, state-aware grid management for an increasingly dynamic, decentralized, and data-rich electric system. As a recognized industry leader, the role drives the development and operationalization of distribution system state estimation (DSSE), predictive analytics, and digital intelligence platforms that provide real-time and forward-looking visibility into distribution system conditions, risks, and performance. By integrating machine learning, physics-based models, and advanced analytics, the role enables utilities to transition from reactive operations to proactive, predictive decision-making.

The position leads the design and deployment of state-aware predictive systems that combine SCADA, AMI, DER, outage, weather, and asset data to assess current grid conditions and forecast future reliability outcomes. These capabilities provide circuit-level insights into voltage conditions, loading, topology changes, asset health, and outage risk, enabling early identification of emerging issues and preventative actions before failures occur. The resulting intelligence supports proactive maintenance, vegetation management, risk-based asset replacement, capital investment planning, and real-time operational decision-making through ADMS and DERMS integration.

Additionally, the role defines enterprise standards and best practices for digital grid modeling, DSSE, and predictive reliability analytics, ensuring solutions are scalable, explainable, and embedded within engineering and operational processes. By establishing advanced forecasting and situational awareness capabilities, the position directly supports reliability improvement initiatives, including reductions in SAIDI, SAIFI, and other risk-based reliability measures while accelerating the utility's digital grid transformation.

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, taking these factors into account. This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

A reasonable salary range is:
Bay Area Minimum: $147,000
Bay Area Mid-Point: $199,000
Bay Area Maximum: $251,000

Job Responsibilities

•    Manages and builds consensus for major cross-functional and cross-company projects and initiatives. Works with all levels of leadership (up to and including executives) across functions to influence decisions.
•    Coaches, mentors, and trains others.
•    Provides actionable input on department’s work planning, operations, and strategy.
•    Influences policy and program strategy at other utilities and regulatory agencies.
•    Proactively identifies future challenges and responsible for innovating on existing models and analytical assumptions of the highest complexity.
•    Develops and evaluates advanced quantitative tools and examines alternate solutions to a problem, effectively troubleshoots various issues and analysis, and provides findings and recommendations for internal clients and external stakeholders.
•    Develops industry wide best practices and works with other utilities and industry groups in the development of new and innovative data and quantitative models and research.
•    Lead the development and deployment of Distribution System State Estimation (DSSE) and predictive analytics capabilities to provide real-time and forecasted visibility of grid conditions and risks at the distribution circuit level. 
•    Design and operationalize state-aware grid intelligence platforms using SCADA, AMI, DER, outage, weather, and asset health data. 
•    Serve as an industry thought leader, driving innovation and advancing data-driven decision-making to improve reliability, reduce risk, and accelerate grid modernization.

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
• 8 years of job-related experience
  • OR Master’s Degree and 7 years’ job-related experience
  • OR Doctorate and 5 year of job-related experience

Desired:

•    Master’s degree or equivalent experience in Power System Engineering
•    Job-related experience, 10 years