Requisition ID # 173278
Job Category: Business Operations / Strategy
Job Level: Individual Contributor
Business Unit: Energy Delivery
Work Type: Hybrid
Job Location: Oakland
Department OverviewThe 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 SummaryThis position serves as a senior technical leader responsible for advancing predictive grid intelligence, Distribution System State Estimation (DSSE), and reliability analytics to support a more resilient, data-driven electric system. The role leads the development and implementation of advanced analytical capabilities that provide real-time and forecasted visibility into system performance, asset health, and reliability risk. By applying machine learning, statistical methods, engineering analytics, and grid modeling techniques, the position enables more proactive planning, operations, and asset management decisions across the distribution network.
The position leads cross-functional efforts to develop predictive intelligence platforms that integrate SCADA, AMI, DER, outage, weather, and asset data to identify emerging risks and improve system reliability. Responsible for establishing technical frameworks, analytical methodologies, and best practices, the role supports reliability improvement initiatives, risk-informed investment planning, and grid modernization efforts. Through collaboration with engineering, operations, asset management, and technology teams, the position delivers actionable insights that improve reliability performance, reduce operational risk, and support achievement of key reliability objectives, including SAIDI, SAIFI, and resilience targets.
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: $105,000
Bay Area Mid-Point: $137,000
Bay Area Maximum: $169,000
Job Responsibilities Maintains and updates simple analytical models and assumptions for larger analytical projects.
Completes complex quantitative modeling and analysis with limited support.
Clearly articulates recommendations and findings in both written and oral communications both internally and externally.
Works with other utilities and industry groups in the development of new and innovative data and quantitative models, research, etc.
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.
QualificationsMinimum:- Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, Business or equivalent field
- 4 years of job-related experience
- OR Master's Degree and 3 years' job-related experience
- OR Doctorate and 1 year of job-related experience
Desired: Master's degree or equivalent experience in Power System Engineering
Job-related experience, 6 years
Purpose, Virtues and StandsOur
Purpose explains "why" we exist:
- Delivering for our hometowns
- Serving our planet
- Leading with love
Our
Virtues capture "who" we need to be:
- Trustworthy
- Empathetic
- Curious
- Tenacious
- Nimble
- Owners
Our
Stands are "what" we will achieve together:
- Everyone and everything is always safe
- Catastrophic wildfires shall stop
- It is enjoyable to work with and for PG&E
- Clean and resilient energy for all
- Our work shall create prosperity for all customers and investors
More About Our Company
EEOPacific Gas and Electric Company is an Equal Employment Opportunity employer that actively pursues and hires a workforce that reflects the hometowns we serve. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.
Employee Privacy Notice The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. CCPA grants new and far-reaching privacy rights to all California residents. The law also entitles job applicants, employees and non-employee workers to be notified of what personal information PG&E collects and for what purpose. The Employee Privacy Notice can be accessed through the following link:
Employee Privacy Notice PG&E will consider qualified applicants with arrest and conviction records for employment in a manner consistent with all state and local laws.
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