Manager, Electric Grid Risk & Resilience Analytics

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. This team of forward‑thinking individuals is tasked with deploying the technology and infrastructure to achieve the company’s reliability goals. The team is responsible for implementing programs required to modernize the electric grid allowing for safe, resilient and efficient operations.

The Manager, Electric Grid Risk & Resilience Analytics will lead a technically focused, cross‑functional team of engineers and data scientists to design and deploy advanced models that measure and predict the resilience and reliability of PG&E’s electric grid. This role sits at the convergence of grid planning, real‑time operations, and applied data science, leveraging high‑resolution data from sources such as synchrophasors, SCADA, load flow studies, stability analyses, and asset health systems.

The team will build and leverage statistical and machine learning models—such as probabilistic risk models, time series forecasting, anomaly detection, and graph‑based system analytics—leveraging data from synchrophasors (PMUs), SCADA, load flow simulations, dynamic stability studies, and asset condition monitoring. These tools will assess outage risks at both the grid‑wide and individual critical customer level, delivering real‑time and long‑horizon insights into system vulnerabilities and performance under climate stressors and high‑impact events.

The manager will collaborate with electrical engineers, data scientists, control room operators, and strategic planners to deploy scalable analytics solutions that directly inform capital investment, grid hardening, operational decisions, and regulatory reporting. This is a rare opportunity to lead a founding team that fuses domain expertise, big data, and AI/ML methods to help architect the climate‑resilient, intelligent electric grid of the future.

• This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory.

PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. 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, and internal equity.

Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case‑by‑case basis related to these factors.

Bay Minimum: $155,000
Bay Maximum: $265,000

CA Minimum: $147,000
CA Maximum: $222,000

This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

• Manages the team creating and maintaining grid Systems Performance models and tools, aligning and driving the execution of grid modernization within the context of a broader portfolio strategy.
• Leads System Performance Reliability associated risk identification efforts, utilizing benchmarked and data driven tools/analysis to promote optimal grid maintenance and investment planning.
• Develop and deploy advanced data models and statistical tools to measure grid risk and performance.
• Integrate data from synchro phasors, SCADA, load flow models, stability simulations, asset health metrics, and ML-based predictors.
• Create actionable insights that inform investment planning and real‑time decision‑making.
• Serve as a core intelligence function guiding the evolution of a climate‑resilient, outage‑resilient electric grid.
• Maintains and creates relationships with operations and other functions to evaluate real time grid operational performance, provide recommendations, and communicate those to internal and…