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We call Southern California our home. It's where we chase our dreams and raise our families. That's why the people who live here deserve an energy company unlike any other, and that's why every day, SDG&E employees strive to be at the forefront of innovations to reduce emissions, modernize the electric grid, and enable our customers to make the transition to clean technologies. We're redefining sustainability, advancing zero-emissions solutions, and driving the electric vehicle revolution.

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Primary Purpose:

Leads and manages the risk data science team responsible for maintaining, expanding, and optimizing the Wildfire Next Generation System (WiNGS Planning and WiNGS Ops). Collaborates with direct reports to harness SDG&E's diverse internal and external data sources. By deploying advanced analytical models, machine learning, and artificial intelligence, the role enhances decision-making capabilities, identifies opportunities, and improves SDG&E's existing Wildfire data products. Implements data science best practices to analyze large datasets, uncover patterns, create scalable models, and draw insights that help understand and quantify wildfire risk and investment opportunities. Provides risk analytics support to various regulatory bodies such OEIS and the CPUC, regularly leads joint IOU committees and workshops, and represents the company in this field across the industry.

Duties and Responsibilities:

• Manage and lead the development of predictive machine learning and statistical models to support proactive identification and analysis of ignition risks across the system.
• Facilitate the implementation of risk models across operating organizations to drive risk-informed decision-making processes including support of EOC activations as needed or required.
• Develop and/or update processes as needed to embed new risk models and insights into existing operational programs
• Build and enhance internal alliances with key operating leadership and subject experts to establish appropriate metrics and analytics to support wildfire mitigation objectives.
• Lead and manage a team of data scientists to ensure resources are optimized in support of strategic initiatives and activities. Prioritize workload based on resources, while promoting employee development.
• Develop and deliver models, dashboards, reports, and presentations on wildfire and Public Safety Power Shutoff (PSPS)risk.
• Build and foster external alliances to maintain up to date knowledge of industry-related issues in data analytics.
• Serve key strategic and advocacy roles for information systems that support wildfire modeling efforts, providing a common platform for wildfire risk analytics that drives consistency and repeatability.
• Performs other duties as assigned (no more than 5% of duties).

Hybrid Schedule:

• Although the schedule may vary, typically this will allow the employee to work onsite three days per week and remotely on the remaining workdays.
• Must reside in Southern California or be willing to relocate upon hire.

Required Qualifications:

• Bachelor's Degree in Engineering, Mathematics, Statistics, Data Science, Risk Management, Economics or Finance, related field or equivalent training and/or experience.
• 5 or more years relevant experience required in the areas of Data Analytics (data science, ML Ops, or software development) and/or Engineering.
• Must be knowledgeable of critical utility assets, including electric distribution and transmission infrastructure.
• Must be knowledgeable of information systems and tools (including cloud technologies) that support asset data analytics and asset health assessments.
• Must have strong written and oral communication skills, with ability to translate complex analysis into clear and effective management communications.
• Must demonstrate strong leadership and management skills.

Preferred Qualifications:

• Master's Degree in Engineering, Mathematics, Statistics, Data Science, Risk Management, Economics or Finance.
• Familiarity with CPUC regulations regarding asset and risk management highly desirable.
• Familiarity with ETL, data processing, database programming and a high standard of coding best practices, and passion for pushing the team's technical skills.
• Experience in the development, validation, implementation, and production launch of machine-learning algorithms and models.
• Familiarity with DevOps tools such as Git, GitLab/GitHub.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.

Note: SDG&E strives to ensure that employees are paid equitably and competitively. Starting salaries may vary based on factors such as relevant experience, qualifications, and education.

SDG&E offers a competitive total rewards package that goes beyond base salary. This position is eligible for an annual performance-based incentive (bonus) as well as other merit-based recognition. Company benefits include health and welfare (medical, dental, vision), employer contributions to retirement benefits, life insurance, paid time off, as well as other company offerings such as tuition reimbursement, paid parental leave, and employee assistance programs.