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Program Manager, Digital Support Experience, Google Cloud

3 months ago


Waterloo Ontario ML, City of Toronto, Canada Google Full time
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 3 years of experience in a program or project management, data analyst, business intelligence, or customer support operations role.
  • Experience working with SQL, connecting and summarizing large and diverse datasets.

Preferred qualifications:
  • Experience with research, experimentation, A/B tests, working with large datasets, statistical analysis methods and tools, or maintaining data pipelines is a plus.
  • Experience using GCP products.
  • Ability to solve complex and ambiguous problems by applying a data driven approach with minimum guidance.
  • Ability to articulate complex findings and recommendations.
  • Ability to work with cross functional teams.
About the job

In this role, you will use your knowledge of data analysis, AI, and project management to lead complex, data driven, multi-disciplinary projects end-to-end. You will work closely with a cross-functional team of engineers, UX and data scientists to identify opportunities to improve our product and service offerings, manage those projects throughout their entire lifecycle and ultimately drive the strategy of our product.

You will be the voice of our customers through the data, and use your insight and creativity to drive our product roadmap and bring its initiatives all the way to implementation.

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
  • Act as the owner of our data and insights platform and design, create and maintain datasets with appropriate architecture with high data complexity and need for accuracy.
  • Apply expertise in quantitative analysis and data mining to create insights into problems our customers are trying to solve and how they engage with our products.
  • See beyond the numbers to weave stories that bring the team around the same understanding of the roadblocks on our mission, and translate opportunities into solutions and drive our product roadmap.
  • Prioritize the most promising projects and bring together the relevant stakeholders to take them all the way through to A/B testing and final rollout stage.
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