Principal, Quantitative Power System Analyst

Pacific Gas And Electric Company•Oakland, CA

7d•$147,000 - $251,000•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

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.