Senior Manager, Transmission Analytics

Do you want to work with high caliber professionals in a dynamic and growing company? Are you entrepreneurial, hard-working, and collegial? Are you committed to advancing the clean energy revolution? Join us at SB Energy, a leading company backed by SoftBank and Ares pairing cutting-edge innovation with best-in-class execution. Our Mission is to provide flexible renewable energy at scale, accelerating the global energy transition and benefiting our planet, customers, communities, and people.

SB Energy develops, builds, owns & operates some of the largest and most technically advanced renewable projects across the United States, with headquarters in Redwood City, CA. The company was launched in 2019 and has quickly become one of the largest solar and storage developer/IPPs in the U.S.  With 3 gigawatts (GW) of renewable energy projects in operation and a multi-GW development pipeline, SB Energy is building the renewable energy future – today. SB Energy also utilizes its strong culture of innovation to identify and incorporate new technology into our projects, including our AI-based digital platform, to deliver renewable energy that is local, reliable, and matched to load.

Come join us in accelerating the energy transition to cleaner, more sustainable sources of power! 

Title: Senior Manager Transmission Analytics (Hybrid)

Basic Function:

The Sr Manager, Transmission Analytics will provide expert-level technical expertise supporting SBE’s strategic goals and operational and developmental activities. The Sr. Manager, Transmission Analytics, will work under the VP of Grid Integration and Transmission Analytics. The Analyst will be responsible for conducting SCED analysis for operating and development assets, develop and maintain models for SCED runs. In addition, the Sr Manager will conduct and coordinate research with the rest of the Transmission and Analytics group, Asset Management group, regional Development groups and other internal teams as required and relevant to the business needs. It is further expected that the successful candidate will make frequent presentations on congestion, energy market, and transmission related issues to senior level management.

Responsibilities:

• Running PROMOD/DAYZER analysis for assessing congestion/curtailment risks for operating and development projects
• Maintaining and developing models and databases and assumptions files for congestion and curtailment modeling and other studies:
• The analyst will build and maintain models, data files, processes, and systems for historical and forward-looking congestion analyses, and for development of medium term and long-term congestion forecasts.
• The analyst will also undertake fundamental, or market research as needed for special projects/initiatives such as solar and storage integration or other transmission/congestion related assessments, or to identify future market trends and transmission or interconnection process changes that can impact curtailment and congestion risks.
• Tracks transmission expansion plans and any changes to the Grid, market rules and their impacts on market prices, capacity, and competitiveness of a site.
• Create tools to conduct the transmission analyses.
• Conduct historical and forward-looking congestion analyses for SBE’s operating and development assets.
• Manage and maintain Promod databases and assumptions files.
• Provide market and fundamental research and analysis for basis and power curve modeling, as well as special studies (e.g., battery integration).
• Majority of the time is spent in the office environment with frequent use of Excel, Word, and PowerPoint, PROMOD, FTR/CRR and hedging tools, PowerWorld, or other software as required, using statistical and optimization software programs, and using general office equipment.
• Minor time is spent in the field meeting with regional developers, asset managers or attending conferences, or meeting with vendors and suppliers as appropriate.

Qualifications/Requirement:

• A Bachelor’s/Master’s degree in electrical engineering, Data Science, Mathematics, Economics, Computer Science, or related quantitative discipline is strongly preferred.
• A minimum of 7 years’ experience in economic modeling or data analyses is required.
• Strong understanding of power systems and Locational Marginal Pricing (LMP) fundamentals is required.
• Demonstrated competency in other modeling, statistical analysis, and/or optimization software highly desired.
• Experience in detailed economic modeling of transmission networks, thermal and renewable generators using PROMOD, DAYZER, or Plexos is strongly preferred.
• Basic knowledge/experience running power flows either in PSS/E, TARA o