Substation Operations

Job Summary:

This position reports to the Sr Director, System Performance, Reliability & Resilience Strategy and is responsible for the following:

Developing predictive analytical models, just-in-time replacement, asset replacement prioritization, identifying trends and focus areas based on asset classes, regions, etc., and developing tools for engineering and operational usage to drive reliability.

Responsibilities:

• Develop and build high performing teams by setting goals, managing work resources, and ensuring the team has adequate tools, training, and technology to successfully deliver outcomes.
• Collaborate with enterprise leaders to identify and solve complex business problems using data science, machine learning, and artificial intelligence.
• Ensure standards and processes are implemented to improve the quality and timeliness of machine learning/artificial intelligence/optimization models.
• Develop and implement frameworks to validate models, methodologies, and communicate results.
• Conduct peer reviews for complex code scripts and model development for broad-scope projects.
• Evaluate the risk impact of machine learning/artificial intelligence/optimization models on business outcomes.
• Participate in the community of practitioners to co-create and assess the impact of emerging technologies like data science, machine learning, artificial intelligence, and simulation.
• Develop and manage budget (expense, capital, and expenditures) and monitor, forecast, and report on budget performance.

Qualifications and Experience:

Minimum:

• Demonstrated track record and understanding of data science and machine learning algorithms (supervised, unsupervised), ML domains (computer vision, NLP, etc.).
• Experience with statistical modeling, experimental design, sampling, data reduction, confidence intervals, and predictive modeling.
• Experience in artificial intelligence, machine learning, predictive analytics, and simulation.
• Proficiency in programming and history in developing cutting-edge tools for electric power systems.
• Ability to clearly and concisely communicate complex analysis to quantitative and non-quantitative audiences.

Desired:

• Advanced degree in Statistics, Mathematics, Applied Science, Data Science, Engineering, or equivalent field.
• 5 years of utility industry experience.

Benefits:

• Comprehensive health, dental, and vision insurance.
• Retirement savings plans, including 401(k) with company match.
• Paid parental leave and flexible work arrangements.
• Professional development opportunities.

About PG&E:

PG&E is a leader in providing energy solutions, with a strong commitment to safety, sustainability, and operational excellence. Our Electric Engineering department plays a critical role in ensuring the safety and reliability of the electric infrastructure. We value innovation, teamwork, and collaboration to drive success across the organization.