Job Description

Requisition ID # 172495

Job Category: Compliance / Risk / Quality Assurance

Job Level: Senior Manager

Business Unit: Strategy & Growth

Work Type: Hybrid

Job Location: Oakland; Fresno; Sacramento; Stockton

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.

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) $144,000.00

Mid Base Salary (Bay Area) $194,000.00

Maximum Base Salary (Bay Area) $244,000.00

Minimum Base Salary (California) $137,000.00

Mid Base Salary (California) $184,000.00

Maximum Base Salary (California) $232,000.00

Job Responsibilities

Risk Modeling & Analytics Leadership

• 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.

Data-Driven Decision Support

• 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.

Scenario Analysis & Continuous Improvement

• 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.

Governance, Collaboration & Communication

• 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.

Qualifications

Minimum

• BA/BS degree in Economics, Finance, Business, Engineering or equivalent experience.
• 10 years of relative working experience

Desired

• 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.