Serves as a recognized technical authority in applying advanced analytics—including data science, machine learning, operations research, engineering, and economic modeling—to support enterprise reliability and resilience strategy. Drives the development and application of sophisticated quantitative models and decision frameworks that inform long-term grid planning, reliability performance, risk management, and strategic investment decisions. Establishes technical direction and best practices for advanced analytics in support of reliability engineering, ensuring scalable, high-quality solutions across the full analytics lifecycle, including data engineering, modeling, and visualization. Leads complex analytical efforts using large, diverse datasets to generate actionable insights that strengthen system reliability and resilience. Provides expert guidance to cross-functional teams and partners with senior leadership to integrate data-driven insights into enterprise strategy and decision-making. Translates complex analytical findings into clear, executive-level recommendations that influence reliability outcomes, regulatory positioning, and long-term grid strategy. Builds and maintains strong relationships with internal stakeholders and external partners and represents the company in industry forums, contributing to best practices and thought leadership in reliability analytics and energy system modeling. 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.
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Job Type
Full-time
Career Level
Principal