Technical Program Manager, Analytics
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Minimum qualifications:
- Bachelor's degree in Analytics, Data Science, Information Systems, Engineering, a related field, or equivalent practical experience.
- 2 years of experience working in Data Analytics or data science.
- 2 years of experience in Technical Program Management.
- 2 years of experience in data analysis.
- Experience in SQL or Python.
Preferred qualifications:
- Experience with scaling tooling from prototype to production.
- Experience with energy markets and optimization models.
- Experience with data integrations and data pipelines.
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.
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 a Analytics Technical Program Manager for Energy and Location Strategy (ELS) Data and Analytics, you will be responsible for developing problem solving insights that support (sustainable) data center delivery and support agreement due diligence. You will co-own and build full stack advanced analytics solutions that solve critical business problems. You will aid in improving the signal to noise ratio for the ELS organization through robust improvements in solutions from inputs to insights.
Responsibilities
- Improve, maintain (including debug), and run machine learning/optimization models and other advanced problem solving tools to centralize data center delivery, and support ELS agreements. Add new features to existing models based on prioritization and stakeholder feedback.
- Perform software development and project management, design and develop full stack and solutions to solve defined business problems (clarifying requirements from key stakeholders where needed).
- Collaborate on ETL data pipelines, build predictive and optimization models, implement tooling visualization/application, and 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.
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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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
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