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Data Science Manager, Cloud Learning Services

GoogleSeattle, WA, USA; Atlanta, GA, USA; +3 more; +2 more
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Atlanta, GA, USA; Austin, TX, USA; Cambridge, MA, USA.

Minimum qualifications:

  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
  • 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • 5 years of experience managing a data science team.

Preferred qualifications:

  • 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
  • 4 years of experience as a people manager within a technical leadership role.
  • Experience with reporting, dashboarding, and BI.

About the job

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

Cloud Learning Services (CLS) is revolutionizing cloud learning. We empower users of all levels with interactive labs and guided experiences to build practical skills on Google Cloud Platform and other leading technologies. Our mission is to make the cloud accessible, engaging, and enjoyable to learn.

As a Data Science Manager, you won't just manage—you'll inspire. You'll stand at the core of our data-driven decisions, using insights to create learning experiences that genuinely delight our users.

You'll mentor and empower a brilliant team of data scientists, engineers, and product managers. You will foster a culture of growth, helping each team member develop their skills and reach their full potential.

You'll uncover which levers, and in what combinations, create the most significant impact for the business. You will provide strategic and operational insights that improve these levers and refine our learning experiences.

You'll turn complex business questions into actionable analytical projects. Your work will directly improve sales efficiency, effectiveness, and overall business outcomes.

You'll build strong relationships with stakeholders, ensuring your team's work is directly integrated into key business decisions.
The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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

  • Oversee the end-to-end delivery of analytical projects, dashboards, data science models, and insights across our business.
  • Use advanced statistical analysis to measure the impact of business initiatives, and identify opportunities to increase effectiveness through these levers.
  • Directly manage, mentor, and develop a team of analysts and data scientists, fostering a high-performance, collaborative, and growth-oriented environment.
  • Partner closely with cross-functional stakeholders to ensure the team is delivering on the most impactful initiatives, be transparent with prioritization and delivery, and influence stakeholders through effective communication.
  • Drive excellence within the broader team's analytical and data science capabilities, driving the development of best practice and cutting-edge solutions to address complex business challenges.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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