Principal Manager, Asset Analytics & Modeling

Join the Clean Energy Revolution

Become a Principal Manager, Asset Analytics & Modeling at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll lead a team of engineers, data scientists, and analysts to solve some of the industry's most challenging problems, grow modeling and analytical capabilities using innovative methods, and help transform how SCE invests in its electric grid.

As a Principal Manager, Asset Analytics & Modeling, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

Responsibilities

• Articulates thought leadership, imparts strategic thinking and technical expertise to solve business problems leveraging optimization, storytelling, advanced analytics, Statistical Analysis, and machine learning
• Oversees key initiatives for SCE and ensuring data science and predictive analytics alignment with business strategies and outcomes
• Directs the development and implementation of advanced analytics and machine learning, including product roadmap, prioritization, methodologies, development of models and machine learning operations (MLOps)
• Shapes priorities and allocates resources as well as communicate business performance and project progress to management and business partners
• Oversees the analyses and identification of problems based on data, trends and analysis of inconsistencies, and anomalies to identify out-of-compliance issues
• Designs tailored energy-efficiency services based on data analytics
• Steers a wide portfolio of data science and predictive analytic projects empowering the group's functions through advanced insights and strategy development
• Governs development of predictive modelling of key assets to inform risk analysis and mitigation strategies in support of business initiatives and for regulatory filings
• Develops long-term electric load forecasts at the system and feeder level using econometric regression, time series, and machine learning models
• Ensures data architecture models are current, fit for purpose and reflective of the market, collaborates with the use-case leads to ensure previously developed data models are reused or adapted
• A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

• Seven or more years of experience supervising a team of direct reports and/or project management.
• Experience leading a technical/analytical organization.

• Masters degree in Engineering, Data/Computer Science, Business, etc.
• Experience with technology platforms such as Google Cloud Platform, Snowflake, Palantir, SAS, SQL
• Experience performing root cause analysis and failure investigations on assets within the electric system
• Experience building machine learning or physics-based models to predict asset conditions and failures over time
• Experience working with regulatory processes, including developing analyses, workpapers, testimony, data request responses, and reporting for proceedings before regulatory agencies
• Experience evaluating and deploying artificial intelligence solutions into business processes
• Experience with various risk management tools and frameworks: (e.g.: CPUC's Risk-Based Decision-Making Framework, Failure Mode Effects and Analysis (FMEA), Probabilistic Risk Assessment (PRA), Wildfire Mitigation Plans, and development of mitigation effectiveness and benefit-cost ratio calculations to drive investment decision-making.

• This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
• Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
• Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
• Relocation may apply to this position.