Proj Mgr - Adv Forecasting & Trad Met

Iberdrola$106K — $132K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Meteorology or related field.
  • Minimum of 3 years of operational forecasting experience.
  • Strong understanding of numerical weather prediction and renewable power forecasting.
  • Proficiency in programming tools like Python and MATLAB.
  • Experience with relational databases and data visualization tools.
  • Strong Linux proficiency, including system administration.

Responsibilities

  • Lead the transition to AI-enabled forecasting workflows.
  • Design forecasting frameworks leveraging machine learning and NWP.
  • Evaluate and onboard AI-enabled forecasting technologies.
  • Maintain forecast performance metrics and continuous improvement processes.
  • Communicate forecasts and uncertainties within operational deadlines.
  • Support forecasting for wind and solar operations and construction activities.
  • Collaborate with IT and analytics for forecasting system requirements.

Benefits

  • Flexible work schedule to accommodate on-site operations.
  • Opportunity for professional growth through mentorship and training.
  • Access to advanced forecasting technology and AI tools.
  • Involvement in innovative digital transformation projects.
  • Collaboration with cross-functional teams to impact renewable energy management.
Full Job Description
Project Manager - Advance Forecasting & Trading Meteorology

Reports to: Manager - Trading Meteorology
Location: In Office, Portland OR

The base salary range for this position is dependent upon experience and location, ranging from:
  • $106,000 - $132,500


Job Summary

Avangrid relies on accurate, high-resolution forecasting to optimize the economic and operational performance of its wind and solar generation fleet. The Senior Meteorologist & AI Forecasting Systems Lead plays a critical role in both operational forecasting and the digital transformation of Avangrid's meteorological and power-forecasting capabilities.

This position combines advanced numerical weather prediction (NWP), meteorological analysis, and renewable-energy forecasting expertise with leadership in AI-enabled forecasting technologies, automated modeling workflows, and system modernization. The role supports daily forecasting operations while driving the transition from manual forecast enhancement to scalable, AI-driven forecasting frameworks.

The ideal candidate brings deep atmospheric science knowledge, strong programming and data-engineering skills, and experience integrating advanced forecasting tools into commercial and operational environments. This position also supports operational forecasting shifts as needed.

Key Responsibilities

AI-Enabled Forecasting & Digital Transformation
  • Lead the transition from manual forecast-enhancement processes to automated, AI-enabled forecasting workflows across daily, hourly, and sub-hourly horizons.
  • Design and implement forecasting frameworks that leverage machine-learning-augmented NWP, ensemble modeling, and advanced post-processing techniques.
  • Evaluate, onboard, and operationalize AI-enabled forecasting vendors, tools, and technologies.
  • Develop and maintain forecast-performance metrics, validation routines, and continuous-improvement processes.
  • Ensure forecasting outputs meet the needs of trading, real-time operations, asset management, and market-compliance functions.


Forecasting, Modeling & Meteorological Analysis
  • Serve as an NWP specialist and atmospheric data analyst, maintaining and enhancing forecasting tools, meteorological products, databases, and modeling workflows.
  • Integrate and interpret meteorological data from internal models, third-party forecast providers, AI-enhanced systems, and public sources to produce accurate wind and solar generation forecasts.
  • Perform meteorological analysis, model evaluation, and post-processing to improve forecast skill and operational accuracy.
  • Communicate forecasts, uncertainty, and risk clearly and within strict operational deadlines.
  • Provide forecasting and analytical support for wind and solar facility operations, maintenance planning, and construction activities.
  • Participate in rotating on-site forecasting shifts, including holidays and weekends.


Systems, Data Infrastructure & Cross-Functional Collaboration
  • Maintain and enhance the technical infrastructure supporting NWP ingestion, post-processing, verification, and high-resolution modeling.
  • Collaborate with IT, Data & Analytics, and Market Operations to define data pipelines, system requirements, and governance standards for AI-enabled forecasting.
  • Support production deployment, system resilience, and operational readiness of forecasting tools, including servers, databases, dataflows, and computational clusters.
  • Ensure high-quality use of meteorological, SCADA, and asset-performance data in forecasting applications.


Operational Enablement, Training & Change Management
  • Support the evolution of Trading Meteorology toward model oversight, performance monitoring, and exception-based human intervention.
  • Develop documentation, training materials, and operational handoffs to ensure durable adoption of new forecasting technologies.
  • Mentor and train new meteorologists in NWP systems, modeling tools, AI-enhanced forecasting methodologies, and operational processes.
  • Adhere to internal controls, documentation standards, and compliance requirements.


Required Qualifications
  • Bachelor's degree in Meteorology, Atmospheric Science, or a related technical discipline.
  • Minimum of 3 years of operational forecasting experience, including work with meteorological computational modeling applications and numerical weather prediction.
  • Strong working knowledge of numerical weather prediction (NWP), renewable power forecasting, and forecast verification techniques.
  • Experience supporting wind and/or solar generation assets in operational or commercial contexts.
  • Proficiency in programming and data-analysis tools (e.g., Python, MATLAB, shell scripting, PERL, Ruby, JavaScript, PHP, Visual Basic).
  • Strong Linux proficiency, including system administration, troubleshooting, and software installation.
  • Experience with AVEVA PI, SEEQ, Tableau, and relational databases.
  • Ability to work cross-functionally with trading, operations, vendors, and technical teams.


Preferred Qualifications
  • Master's degree or PhD in Meteorology, Atmospheric Science, or a related technical discipline.
  • Direct experience deploying or operationalizing AI or machine-learning-based forecasting solutions.
  • Familiarity with cloud-based analytics environments, automated modeling workflows, or MLOps principles.
  • Experience supporting ISO/RTO market participation and real-time trading environments.


#LI-Onsite

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Company:
AVANGRID POWER, LLC

Mobility Information

Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.

Job Posting End Date:
July-31-2026

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