Google-posted 9 months ago
$132,000 - $189,000/Yr
Full-time • Mid Level
Kirkland, WA
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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.

  • 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.
  • 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.
  • 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).
  • 401k
  • health_insurance
  • dental_insurance
  • vision_insurance
  • life_insurance
  • disability_insurance
  • paid_holidays
  • paid_volunteer_time
  • tuition_reimbursement
  • professional_development
  • employee_stock_purchase_plan
  • performance_bonus
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