Head of Renewable Forecasting & AI Analytics

Electric Reliability Council of Texas; Taylor (TX); Hybrid; USD 145,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Retirement Savings Plan

Job summary

Electric Reliability Council of Texas is seeking a Supervisor of Renewable Forecasting and Analysis to lead the renewable forecasting team, directing the development of wind and solar forecasts and applying AI/ML techniques to strengthen in-house models.

The role oversees forecast performance, data quality, vendor contracts, and coordination with meteorologists and control room staff, with hybrid work in Taylor, TX.

Qualifications

• 5 years of related experience, with at least 1 year in a leadership role.
• Experience managing forecast vendor contracts, procurement processes, and SLAs.
• Bachelor's in Electrical Engineering or related field is required; master's preferred or equivalent experience.

Responsibilities

• Directly supervise a team of engineers and analysts with performance management and workload prioritization.
• Manage forecast vendor procurement and contract lifecycle (RFPs, renewals, SLAs).
• Identify and scope new forecasting use-cases and business needs, including new forecast product types.
• Lead development of operationally reliable wind and solar forecasts using AI/ML to enhance in-house models.
• Oversee forecast performance analysis and reporting; ensure accuracy of ERCOT forecasting reports.
• Monitor renewable telemetry performance and data quality; manage Pay-for-Performance evaluation and its evolution.
• Coordinate with ERCOT meteorologists and control room staff; manage the ERCOT Forecast Presentation Platform.

Skills

Leadership

Forecasting

AI/ML

Vendor management

Coaching

Education

Bachelor's Degree in Electrical Engineering or related field

Master's Degree in Electrical Engineering or related field

Professional Engineer (PE) certification (preferred)

Job description

Electric Reliability Council of Texas is seeking a Supervisor of Renewable Forecasting and Analysis to lead the renewable forecasting team, directing the development of wind and solar forecasts and applying AI/ML techniques to strengthen in-house models.

The role oversees forecast performance, data quality, vendor contracts, and coordination with meteorologists and control room staff, with hybrid work in Taylor, TX.