Support Data Analytics Manager, Cloud Support

Support Data Analytics Manager, Cloud Support corporate_fare Google place Sunnyvale, CA, USA ; Atlanta, GA, USA ; +3 more ; +2 more bar_chart Advanced Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. info_outline X Applicants in

San Francisco:

Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note:

By applying to this position you will have an opportunity to your preferred working location from the following: Sunnyvale, CA, USA; Atlanta, GA, USA; Austin, TX, USA; San Francisco, CA, USA .

Minimum qualifications:

Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, or Mathematics) or equivalent practical experience. 10 years of experience in data analytics or business intelligence. 5 years of leadership experience, such as people management, team lead, mentorship or coaching. Experience using BI tools like Looker, Tableau, or Power BI to create visualizations and dashboards.

Preferred qualifications:

Experience supporting global customer support organizations. Experience with AI-enabled BI solutions. Knowledge of Google Cloud Platform (GCP) and Workspace products and support processes. Familiarity with statistical modeling, machine learning, or data mining techniques. Ability to communicate complex technical concepts to both technical and non-technical audiences. About the job As a Support Data Analytics Manager, you will lead a team of Business Intelligence Developers who deliver innovative BI solutions to help enable business growth and make Google Cloud Go-to-Market (GTM) teams more effective and efficient. Your team will build robust data pipelines and analytical models to support automated reporting and insight generation. This will allow teams to quickly and accurately track their metrics to make data driven decisions. You will be involved in projects from problem solving to design and delivery, ensuring that our workflows optimally deliver high-quality and relevant data to facilitate business needs. You will partner with members of GTM Strategy and Operations team to understand business problems and deliver innovative solutions. You will manage a technical team responsible for all aspects of Single Source of Truth (SSOT) data engineering and Looker dashboards reporting with AI enablement (i.e. conversational analytics) for Cloud Support. In this critical role you will own the BI strategy and roadmap, navigate product and system and operational complexities, oversee the E2E full lifecycle of BI project implementation and roadmap execution, and lead the team forward into the next generation of AI enabled BI solutions. 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 $171,000-$248,000 + 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 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 . Responsibilities Lead and mentor a team of data engineers and analysts, fostering a culture of technical excellence and curiosity. Translate proactive cloud support strategy into the BI strategy and multi-year roadmap for the Cloud Support organization. Lead the team in the E2E execution of BI roadmap, including business requirements gathering, data access navigation, data engineering, metrics design and user journey based Looker dashboard reporting. Partner closely with the Looker Engineering team in advocating features for customer support, adopting and enabling AI capabilities to generate faster and better insights for business decision making (i.e., Gemini models, conversational analytics).