Requisition ID # 173288
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 the utility's leading technical expert for predictive grid intelligence, Distribution System State Estimation (DSSE), and advanced reliability analytics. The role establishes the vision, strategy, and technical direction for state-aware grid management, enabling the transition from reactive operations to proactive, predictive decision-making. Leveraging machine learning, artificial intelligence, physics-based modeling, and digital twin technologies, the position delivers real-time and forecasted insights into system performance, asset health, operational risk, and reliability outcomes across an increasingly dynamic and decentralized electric grid.
As a recognized industry authority, the role leads the development of enterprise-wide predictive intelligence platforms that integrate SCADA, AMI, DER, outage, weather, and asset data to forecast grid conditions and identify emerging risks before failures occur. The position establishes technical standards and best practices for digital grid modeling, forecasting, and advanced analytics while driving measurable improvements in reliability, resilience, risk reduction, and capital effectiveness. Through innovation, industry leadership, and cross-functional influence, the role accelerates grid modernization and supports achievement of strategic reliability objectives, including improvements in SAIDI, SAIFI, and other risk-based performance measures.
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: $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.
Proactively identifies future challenges, develops recommendations for resolution and evaluates, and develops new analytic tools and processes for the department.
Responsible for maintaining and updating complex models and complex analytical assumptions.
Develops or assist in the development of industry wide best practices.
Coaches, mentors, and trains others.
Provides critical and insightful assessments of third-party work products and comparison to internal work products.
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
- 6 years of job-related experience
- OR Master's Degree and 5 years' job-related experience
- OR Doctorate and 3 year of job-related experience
Desired: Master's degree or equivalent experience in Power System Engineering
Job-related experience, 8 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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