Technical Program Manager, Analytics, Energy and Location Strategy

1 Day ago • 2 Years + • Data Analyst • $132,000 PA - $189,000 PA

Job Summary

Job Description

As an Analytics Technical Program Manager for Energy and Location Strategy (ELS) Data and Analytics at Google, you will develop analytics insights supporting Data Center delivery and agreements. You'll build full-stack advanced analytics solutions, including data pipelines, predictive and optimization models, and visualization tools. Responsibilities include improving existing machine learning/optimization models, collaborating with cross-functional teams, and communicating updates to stakeholders. The role requires strong analytical skills, experience with Python and SQL, and a proven track record of managing complex projects.
Must have:
  • Bachelor's degree in CS or related field
  • 2+ years project management experience
  • 2+ years Python & SQL experience
  • 2+ years analytical modeling (forecasting)
  • Develop and maintain analytical tools
  • Collaborate with cross-functional teams
Good to have:
  • Energy market & optimization model experience
  • Data integration & pipeline experience
  • Experience scaling tools from prototype to production
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


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).

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 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 .

Responsibilities

  • 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.

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About The Company

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

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