Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
- 13 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 10 years of experience with an advanced degree.
- 5 years of experience as a people manager within a technical leadership role.
Preferred qualifications:
- Experience with AI or AI pipelines.
About the job
The Google Cloud Learning team works with companies, government agencies and academic institutions to help individuals develop and grow their technology skills with Google Cloud.
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.
The US base salary range for this full-time position is $221,000-$314,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
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
- Develop data strategy that enables the whole business to operate and shows downstream impacts of learning on business growth and product adoption.
- Gather, synthesize, and translate business requirements to design and develop scalable solutions to address business needs.
- Lead, coach, and grow employees in an innovative environment for data insight needs of business stakeholders.
- Build and implement secure procedures for data handling and analysis with attention to all technical aspects.
- Enable the product and engineering organization to measure platform reach, engagement, and learning effectiveness.
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