Minimum qualifications:
Preferred qualifications:
- 4 years of experience with data analytics, reports/dashboard, data pipelines using SQL or Python.
- 2 years of technical program management experience in a data-related domain.
- Experience influencing and leading organizational change in metrics organizations.
- Ability to lead a cross-functional team with global geographically dispersed program managers, data engineers and data scientists to understand, implement and deploy actionable analytics solutions.
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.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Work cross-functionally with global geographically distributed program managers, data engineers and data scientists to understand, implement and deploy actionable analytics solutions.
- Drive system and process development to improve the quality of analytics products with respect to data security, data quality, and data privacy.
- Author stakeholder map that specifies who is impacted by, and who influences, program outcome in close collaboration with program stakeholders.
- Drive system and process development to improve the quality of analytics products with respect to data security, data quality, and data privacy.
- Establish an operations measurement framework and develop and execute a long term strategy.
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 and
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