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Technical Program Manager, Data and Analytics

Pay
USD 138,000–197,000/yearAnnual period assumed — pay source
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Run and debug machine learning and optimization models for energy and power delivery decisions

  • Build ETL data pipelines, predictive and optimization models, and analytics tooling

  • Turn MVPs into production systems with software engineers, setting testing and deployment standards

  • Rapidly prototype AI solutions with energy and data center domain experts

  • Coordinate cross-functional stakeholders on data, feature requests, and milestones

From the employer’s posting
Improve, maintain (including debug) and run machine learning/optimization models and other advanced analytical tools to centralize energy and power delivery
Collaborate 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
Rapid AI prototyping with domain experts directly with energy and data center domain experts to rapidly prototype AI-enabled solutions
Coordinate cross-functional stakeholder groups to make decisions about data, feature requests, model development and give updates on ongoing work stream and key milestones.

What you’ll bring

All qualifications

Core experience

  • 2 years of program management experience
  • 2 years of experience in the energy industry
  • 2 years of development experience in data engineering, data science, or application engineering
  • Bachelor's degree in a technical field or equivalent practical experience
Qualification wording
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.
Bachelor's degree in a technical field, or equivalent practical experience.
Education & alternatives
**Minimum qualifications:** + Bachelor's degree in a technical field, or equivalent practical experience. + 2 years of experience in program management.
**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.
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Status in our records
Live
First seen by us
Nov 4, 2026today
Recorded sightings
1
Reposted
once since Oct 13, 2026

We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

In line with similar jobs

$138K–$197K against $118K–$193K, the middle half of what similar US postings state.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Google is hiring

294 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down quickly
  • 14% of open jobs were reposted
Hiring record

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Where the posting names them
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 discussing the technical tradeoffs in product development with engineers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Your next step

Complete your application on www.google.com. The employer’s form will show what is required.

Already applied? Track this application

Has Google posted this job before?

Yes. We’ve followed 13 other Technical Program Manager, Data and Analytics jobs there since October 2026. All 13 are still up.

  1. AustinStill up after 22 days, first seen Oct 13
  2. San FranciscoStill up after 22 days, first seen Oct 13
  3. KirklandStill up after 0 days, first seen Nov 4
  4. SunnyvaleStill up after 0 days, first seen Nov 4
  5. New YorkStill up after 0 days, first seen Nov 4
  6. San FranciscoStill up after 0 days, first seen Nov 4
  7. ThorntonStill up after 0 days, first seen Nov 4
  8. AtlantaStill up after 0 days, first seen Nov 4
  9. This jobUp 0 days so far, first seen Nov 4

Large employers often post one title for several teams, so these can be separate openings.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Technical Program Manager, Data and Analytics Share Technical Program Manager, Data and Analytics _corporate_fare_ Google _place_ New York, NY, USA; Atlanta, GA, USA; +6 more; +5 more **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Share Technical Program Manager, Data and Analytics _info_outline_ XApplicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. The application window will be open until at least November 17, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: + Health, dental, vision, life, disability insurance + Retirement Benefits: 401(k) with company match + Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment + Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance + Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks + Baby Bonding Leave: 18 weeks + Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Kirkland, WA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA; Thornton, CO, USA** . **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. **About the job** 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 discussing the technical tradeoffs in product development with engineers. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/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. + Collaborate 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
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Pay
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .
Location & working pattern

Austin, TX

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