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Technical Program Manager, Analytics, Energy…
- Google (Kirkland, WA)
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The application window will be open until at least April 15th, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.
Minimum qualifications:
+ Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
+ 2 years of experience managing projects.
+ 2 years of experience with Python and SQL.
+ 2 years of experience in analytical modeling with a focus on forecasting.
Preferred qualifications:
+ Experience within energy markets and optimization models.
+ Experience with data integrations and data pipelines.
+ Experience with scaling tooling from prototype to production (and self service capabilities).
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.
Our goal is to build a Google that looks like the world around us — and we want Googlers to stay and grow when they join us. As part of our efforts to build a Google for everyone, we build diversity, equity, and inclusion into our work and we aim to cultivate a sense of belonging throughout the company.
As an Analytics Technical Program Manager for Energy and Location Strategy (ELS) Data and Analytics, you’ll be responsible for developing analytics insights that support Data Center delivery and support agreements. You will co-own and build full stack advanced analytics solutions that solve business problems.
The US base salary range for this full-time position is $132,000-$189,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google (https://careers.google.com/benefits/) .
+ Improve, maintain, and run machine learning/optimization models and other advanced analytical tools to centralize Data Center delivery and add new features to existing models based on prioritization and stakeholder feedback.
+ Design and develop a full stack analytical solution to solve defined business problems, and collaborate data pipelines, building predictive and optimization models, implementing tooling visualization/application, configuration for deployment.
+ Aid in improving demand and planning signals received from cross-functional partner teams in order to improve the signal to noise ratio.
+ Coordinate cross-functional stakeholder groups to make decisions about data, feature requests, model development, and give updates on ongoing workstream and key milestones.
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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