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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Program Manager, Data and Analytics - **Company:** Google LLC - **Location:** Atlanta, GA, United States - **Experience:** Experienced - **Salary:** $138,000.0 - $197,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bioinformatics, Software Quality, Data Centers, Information Engineering, Extract Transform Load (ETL), Software Debugging, Machine Learning, Backend, Data Analytics, Data Pipelines - **Published:** September 30, 2026 - **Apply:** https://www.atlantacareerpath.com/job.asp?id=3412412677&tx=FR9794FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## 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. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right. ## Related Videos - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [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) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [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? 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