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Sr. Manager, Asset & Program Risk - Oakland, Sacramento, Fresno​/Stockton

Job in Oakland, Alameda County, California, 94616, USA
Listing for: PG&E
Full Time position
Listed on 2026-03-06
Job specializations:
  • Management
    Data Science Manager
  • Engineering
    Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Manager, Asset & Program Risk - Oakland, Sacramento, Fresno, and/or Stockton

Position Summary

The Senior Manager of Asset & Program Risk partners with Enterprise Risk, Asset Strategy, and Investment Planning functions to evaluate, model, and manage risks related to asset condition, infrastructure aging, safety exposures, and outage performance. This role leads the development of analytics, models, processes, and tools used to inform risk-based maintenance and capital investment decisions. The Senior Manager ensures alignment of portfolio strategies with regulatory expectations and enterprise risk appetite, while providing risk insights that guide investment prioritization and long-term grid planning.

The selected candidate must live within PG&E's 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.

A reasonable salary range is:

Minimum Base Salary (Bay Area) $

Mid Base Salary (Bay Area) $

Maximum Base Salary (Bay Area) $

Minimum Base Salary (California) $

Mid Base Salary (California) $

Maximum Base Salary (California) $

Responsibilities
  • Partner with Asset Strategy to assess and model safety risk, outage risk, asset failure likelihood, and aging infrastructure trends.
  • Evaluate capital portfolio risks, including delivery risk, execution constraints, deferral impacts, and regulatory alignment.
  • Integrate risk and safety insights into maintenance prioritization, remediation programs, and capital investment planning.
  • Coordinate with Investment Planning functions, Asset Strategy, and Enterprise Risk to align asset strategies with enterprise risk appetite and regulatory requirements.
  • Lead a team that develops analytic models, visualizations, and tools that measure, predict, and display asset risk across Transmission and Distribution.
  • Enhance and support a risk-informed investments methodology, ensuring transparency, repeatability, and defensibility.
  • Develop procedures, tools, and governance for asset risk analytics and investment prioritization processes.
  • Report findings, recommendations, and progress to officers, directors, and key internal and external stakeholders.
  • Provide strategic recommendations to reduce safety and reliability risk and enhance the long-term performance of the asset base.
  • Manage staffing, budget, and vendor/consultant resources to ensure value delivery and efficient execution.
  • Represent the company at industry forums or technical committees related to asset risk, analytics, and capital planning.
  • Support the development and implementation of corrective actions that address asset-related risks and improve grid resilience.
Qualifications
Minimum
  • Bachelor's degree in Engineering, Business, Economics, or related field, or equivalent experience.
  • 8 years of engineering, analytical modeling, or asset-related experience.
Desired
  • Master's degree.
  • 5 years of supervisory/managerial experience.
  • Professional Engineering License.
  • Six Sigma Green Belt certification.
  • Strong understanding of asset health modeling, lifecycle planning, predictive analytics, and risk-based investment strategies.
  • Experience in capital planning, portfolio management, or risk governance.
  • Ability to direct technical teams and manage methodologies, tools, and data systems supporting risk and investment planning.
  • Ability to communicate complex risk insights simply and persuasively to executives and stakeholders.
  • Experience coordinating large cross-functional initiatives and improvement programs.
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