Technical Program Manager, Data and Analytics
Atlanta, GA, USA · 4d ago
Not specified2+ YOE
Quick summary
AI parsed- Experience
- Bachelor's degree in technical field required. 2 years program management, 2 years energy industry, 2 years data engineering/data science/application engineering experience. Preferred: Master's in Operations Research, Engineering, Economics or related field. Experience in energy sector, wholesale power markets, PPA/ESA structures, load/price forecasting, storage economics, carbon-free energy accounting. Full-stack analytics tooling, data pipelines, backend services, visualization. AI solutions prototyping.
- Salary
- $138,000 - $197,000 USD + 15% bonus target + equity + benefits
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
- Scale Minimum Viable Product (MVPs) into production systems and work with software engineers to harden prototypes into production-grade solutions — establishing 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
Benefits
Equity · Bonus (15% target) · Health and wellness benefits
Full description
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are d…