Manager, Electric Grid Risk & Resilience Analytics
Company: PG&E Corporation
Location: Oakland
Posted on: January 2, 2026
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Job Description:
Requisition ID 164272 Job Category: Engineering / Science Job
Level: Manager/Principal Business Unit: Electric Engineering Work
Type: Hybrid Job Location: Oakland; Alameda; Alta; American Canyon;
Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach;
Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota;
Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney;
Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola;
Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord;
Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville;
Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield;
Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno;
Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley;
Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt;
Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore;
Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake;
Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville;
Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto;
Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing;
Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale;
Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo
Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo
Beach; Pittsburg; Placerville; Pleasant Hill; Point Arena; Potter
Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond;
Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain;
Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco;
San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael;
San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella;
Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San
Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock;
Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville;
West Sacramento; Wheatland; Whitmore; Willits; Willow Creek;
Willows; Windsor; Winters; Woodland; Yuba City 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. Position Summary 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 &/OR CA Minimum:
$147,000 CA Maximum: $222,000 This job is also eligible to
participate in PG&E’s discretionary incentive compensation
programs. Job Responsibilities 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
external key personnel Solves unique and complex problems,
anticipating issues and developing innovative solutions, ex.create
tools that help identify abnormal operating conditions and provide
feedback to drive the system to its optimal and designed planned
configuration. Leads team recruitment and administrative
operations, such as budgets and forecasting Explore, innovate, and
demonstrate technologies for innovative grid modernization tools or
products. Qualifications Minimum: Bachelor’s Degree in Engineering
or equivalent related experience Relevant experience, 6 years
Travel approximately 20% with occasional overnight stays Desired:
Masters Degree in Engineering-Electrical or equivalent related
experience Masters Degree in Business Administration or Actuarial
Science or equivalent related experience Job-related discipline or
equivalent experience such as systems operations in a similar
industry and/or risk analysis in industrial/plant settings
Experience with quantifying operating conditions for industrial
organizations and developing strategy for innovative grid
modernization tools or products. Experience with data processing
tools Experience in Grid Planning Power Systems background i.e.
knowledge of the technical impact of distributed generation to grid
planning and operations. Experience representing the company with
external stakeholders in regulatory proceedings. Ability to lead
and influence strategic planning and decision-making, working with
senior management at PG&E. Ability to develop and manage
department budgets, expenses, and variances. Ability to communicate
and support company and organization policies, procedures, goals,
objectives, vision and values. featuredjob
Keywords: PG&E Corporation, Stockton , Manager, Electric Grid Risk & Resilience Analytics, Engineering , Oakland, California
