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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Data and Analytics - **Company:** Google LLC - **Location:** Austin, TX, United States - **Experience:** Experienced - **Salary:** $138,000.0 - $197,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Quality, Data Centers, Information Engineering, Extract Transform Load (ETL), Software Debugging, Machine Learning, Backend, Data Analytics, Data Pipelines - **Published:** September 29, 2026 - **Apply:** https://dejobs.org/x/x/3011C70E602649AA95F8EFB4AF940DFB/job/ ## About the Role Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * 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., * 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. ## Description * 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. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager)