Manager, Reliability Data
 PG&E | |
Bay Area Minimum: $167,000-Bay Area Maximum: $284,000
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 United States, California, Oakland | |
 May 27, 2026 | |
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Requisition ID# 172440 Job Category: Accounting / Finance Job Level: Manager/Principal Business Unit: Strategy & Growth Work Type: Hybrid Job Location: Oakland 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. Within this department the Reliability Data team is on point for a key role is developing and curating all reliability data and data pipelines so that they meet auditable standards. Position Summary Leads the Reliability Data function within the System Performance, Reliability and Resiliency Strategy team, responsible for developing and executing advanced data science, machine learning (ML), optimization, simulation, and artificial intelligence (AI) solutions that enable future-focused, data-driven decision-making. Oversees the development and curation of enterprise reliability data and data pipelines, ensuring they meet rigorous audit, governance, and regulatory standards in support of PG&E's Electric Reliability Strategy and initiatives. Directs the design, development, and integration of scalable data and analytics solutions that leverage large, complex datasets from multiple systems to support reliability performance, risk assessment, and strategic investment decisions. Builds and sustains deep technical expertise in data science, mathematics, statistics, and data engineering, while advancing capabilities across the full data lifecycle, including data ingestion, transformation, modeling, and visualization. Partners with engineering, operations, and senior leadership to align data and analytics solutions with enterprise reliability and resilience objectives. Drives continuous improvement in data quality, pipeline performance, and analytical methods to enhance transparency, traceability, and decision quality. 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 based on these factors. This job is also eligible to participate in PG&E's discretionary incentive compensation programs. A reasonable salary range is: Job Responsibilities * Manages data scientist teams to accomplish results through effective recruitment and selection, training and development, performance management and coaching, and rewards and recognition. Qualifications Minimum: * Bachelor's degree in Statistics, Mathematics, Applied Science, Data Science, Engineering, Physics, Economics, or equivalent field. Desired: * Advanced degree in Statistics, Mathematics, Applied Science, Data Science, Engineering, Physics, Economics, or equivalent field. Knowledge, Skills, Abilities, and Competencies:
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