Senior Manager, Risk Analytics & Modeling (Oakland, Sacramento, Stockton, or Fresno)
About The Position
The Senior Manager, Risk Analytics & Modeling leads the development and application of quantitative risk models to support Electric’s risk prioritization, mitigation, and investment decision-making. This role is responsible for advancing data-driven risk insights, maintaining alignment with Enterprise Risk frameworks (including RAMP), and enhancing the organization’s ability to assess and respond to evolving system risks. The incumbent partners with senior leaders, planners, and subject matter experts to quantify risk exposure, evaluate mitigation strategies, and inform strategic and operational decisions. This individual serves as a subject matter expert in risk modeling and analytics, driving cross-functional collaboration to strengthen risk-informed planning and continuous improvement in risk methodologies. The selected candidate must live within PG&E’s service territory.
Requirements
- Minimum BA/BS degree in Economics, Finance, Business, Engineering or equivalent experience.
- 10 years of relative working experience
Nice To Haves
- Experience with Electric Utilities.
- Advanced degree (e.g., MBA, MS Engineering, or similar).
- Prior experience with compliance programs.
- Background in risk management, compliance auditing, or safety/quality engineering.
- Lean Six Sigma or continuous improvement experience.
- Leadership and management experience overseeing teams or complex compliance functions.
Responsibilities
- Develop, maintain, and enhance quantitative risk models to support risk prioritization and investment planning, including RAMP alignment.
- Apply probabilistic modeling, scenario analysis, and stress testing to evaluate system risks (e.g., weather, load, asset performance, and system contingencies).
- Translate complex modeling outputs into actionable insights for senior leadership and decision-makers.
- Ensure consistency and integration with Enterprise Risk frameworks, methodologies, and governance expectations.
- Enable data-driven decision-making by delivering advanced analytics, risk insights, and modeling outputs to support planning and operational strategies.
- Partner with stakeholders to align risk models with long-term system planning and investment strategies.
- Identify and incorporate relevant internal and external data sources to improve model accuracy and predictive capability.
- Develop and maintain dashboards, reporting tools, and visualizations to communicate risk insights clearly and effectively.
- Conduct scenario analysis and stress testing to assess system resilience under varying conditions, including extreme weather and operational disruptions.
- Drive continuous improvement of risk quantification methodologies, assumptions, and modeling approaches.
- Establish and monitor model performance metrics, ensuring transparency, validation, and ongoing refinement of models.
- Stay informed of industry best practices, emerging tools, and evolving regulatory expectations related to risk modeling and analytics.
- Collaborate cross-functionally with risk, engineering, operations, and regulatory teams to ensure alignment of risk models with business needs.
- Support governance forums (e.g., Electric RCC, WRGSC) by providing risk insights, analytics, and decision support materials.
- Develop executive-level presentations and reports summarizing risk exposure, trends, and model-driven recommendations.
- Partner with compliance and audit teams as needed to ensure transparency and defensibility of risk methodologies.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
