Technical Program Manager, Data and Analytics

Google•Atlanta, GA

1d•$138,000 - $197,000

About The Position

As a Technical Program Manager at Google, you will use technical expertise to lead complex, multidisciplinary projects from start to finish. You will work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate with cross-functional partners. The role requires explaining analyses and recommendations to executives and discussing technical tradeoffs in product development with engineers. Within Google Cloud, this role focuses on energy and power delivery analytics. You will maintain and run machine learning and optimization models, support energy agreement due diligence, collaborate on data pipelines and analytical tooling, and help scale prototypes into production systems. You will also work directly with energy and data center experts on rapid AI prototyping, while coordinating stakeholders on data, model development, feature requests, and milestones.

Requirements

Bachelor's degree in a technical field, or equivalent practical experience.
At least 2 years of experience in program management.
At least 2 years of experience in the energy industry.
At least 2 years of development experience in data engineering, data science, or application engineering.

Nice To Haves

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 them 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.
Passion for AI solutions and ability to quickly prototype to solve business challenges.

Responsibilities

Improve, maintain, debug, and run machine learning and optimization models and other advanced analytical tools to centralize energy and power delivery and support energy agreement due diligence.
Collaborate on ETL data pipelines, build predictive and optimization models, implement visualization and application tooling, and configure deployments.
Scale MVPs into production systems and work with software engineers to harden prototypes into production-grade solutions by establishing testing, monitoring, code quality, and deployment standards and managing execution through launch.
Rapidly prototype AI-enabled solutions with energy and data center domain experts, using their expertise to shape problem framing and validate outputs.
Coordinate cross-functional stakeholder groups to make decisions about data, feature requests, and model development, and provide updates on work streams and key milestones.