+ Bachelor's degree or equivalent practical experience.
+ 5 years of experience as a data analyst, data infrastructure developer, or data program manager.
+ 3 years of experience with data visualization tools (Data Studio, Tableau, etc.).
+ Experience with programming languages (Python, R, SQL, etc.), relational databases, writing/maintaining ETLs, database definition, and/or schema design.
+ Master's degree in a quantitative discipline or equivalent practical experience.
+ 3 years of technical program management experience.
+ 3 years of consumer hardware related industry experience.
+ Experience in implementing analytics systems architecture.
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.
Product Integrity Engineering (PIE) Data Infrastructure and Analytics is the Software development and Business Intelligence team within Hardware Product Integrity. The goal of the team is to partner with Product Integrity Engineers, Tech Engineers, and Product Managers to improve our products by creating dashboards and tools that support product development, hardware reliability lab testing and tracking of product issues after launch. We support all Google hardware devices including Pixel and Nest Hub.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
+ Develop prediction model plans and run complex statistical methodologies using statistical probability distribution or discipline in reliability engineering (2-parameter Weibull, lognormal, binomial, accelerated life testing, regression analysis, etc.).
+ Drive multi-quarter roadmaps across PIE Data Infrastructure and Analytics projects for development, building infrastructure, driving adoption and process improvement.
+ Partner with Product Management and Engineering and stakeholders to define, organize and support team objectives, build and maintain comprehensive project plans and drive the timeline/milestones.
+ Enable execution across multiple teams, including collaboration with cross-functional teams to mitigate risks and understand dependencies or conflicting requirements/priorities across different workstreams.
+ Use technical judgment to build consensus, identify risks, gaps or dependencies in the project plan and work proactively to resolve them.
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 Google's EEO Policy (https://careers.google.com/eeo/) and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .