Learning Portfolio Manager, Data Analytics
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Minimum qualifications:
- Bachelor's degree in Computer Science, Mathematics, a related discipline, or equivalent practical experience.
- 8 years of experience in a technical project management or a customer-facing role.
- 5 years of experience in Cloud Data Analytics, Cloud Computing Technologies or related discipline.
- 5 years of experience as a technical instructor or in technical training curriculum development.
Preferred qualifications:
- Experience with BigQuery, Dataflow, Pub/Sub, and Looker.
- Experience creating and managing learning (i.e., labs) by collaborating with technical subject matter experts and managers to develop training content and curricula.
- Experience in coding with Python, SQL, and TensorFlow, applying these technologies to build and deploy solutions.
- Experience building and managing cloud data solutions and pipelines.
- Knowledge of R and data visualization tools.
About the job
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.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 benefits at Google.
Responsibilities
- Perform needs and task analysis, define learner personas, scope projects, and evaluate existing materials to identify the most appropriate training approach and content to help diverse global audiences learn about modernizing and building cloud data solutions.
- Drive the overall roadmap for learning on data analytics, including specifying the requirements and the layouts of training programs, modules, and materials in multiple modalities.
- Work with the Cloud professional certification team to ensure alignment of learning assets to credentials and certifications.
- Drive best-practices standardization and translate technical content across all projects.
- Speak in public forums and represent the Data Analytics Learning Portfolio.
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