Technical Program Manager, Data and Analytics

Responsibilities

• Improve, maintain (including debug) and run machine learning/optimization models and other advanced analytical tools to centralize energy and power delivery and support energy agreement due diligence.
• Collaborating on ETL data pipelines, building predictive and optimization models, implementing tooling visualization/application, configuration for deployment.
• Scale Minimum Viable Product (MVPs) into production systems and work with software engineers to harden prototypes into production-grade solutions — establishing the testing, monitoring, code quality, and deployment standards then manage execution through to launch.
• Rapid AI prototyping with domain experts directly with energy and data center domain experts to rapidly prototype AI-enabled solutions, using their expertise to shape the problem framing and validate outputs.
• Coordinate cross-functional stakeholder groups to make decisions about data, feature requests, model development and give updates on ongoing work stream and key milestones.
• - Improve, maintain (including debug) and run machine learning/optimization models and other advanced analytical tools to centralize energy and power delivery and support energy agreement due diligence. - Collaborating on ETL data pipelines, building predictive and optimization models, implementing tooling visualization/application, configuration for deployment. - Scale Minimum Viable Product (MVPs) into production systems and work with software engineers to harden prototypes into production-grade solutions — establishing the testing, monitoring, code quality, and deployment standards then manage execution through to launch. - Rapid AI prototyping with domain experts directly with energy and data center domain experts to rapidly prototype AI-enabled solutions, using their expertise to shape the problem framing and validate outputs. - Coordinate cross-functional stakeholder groups to make decisions about data, feature requests, model development and give updates on ongoing work stream and key milestones.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree in a technical field, or equivalent practical experience. - 2 years of experience in program management. - 2 years of experience in energy industry. - 2 years of development experience in data engineering, data science, or application engineering. Preferred qualifications: - Master's degree in Operations Research, Engineering, Economics, or a related quantitative field. - Experience in the energy sector — wholesale power markets, PPA/ESA structures, nodal pricing, load or price forecasting, storage economics, or carbon-free energy accounting. - Experience quickly building prototypes, and taking prototypes to production, including working with software engineers on testing, monitoring, and deployment standards. - Experience building full-stack analytics tooling, including data pipelines, backend services, and visualization or application front ends. - Ability to translate technical analysis into recommendations for executive and non-technical audiences. - Passionate about AI solutions and ability to quickly prototype to solve business challenges.