Minimum qualifications:
- 15 years of experience working with teams in analytics.
- Experience leading analytics, data science, or other quantitative teams.
- Experience in data engineering, data analysis, or data science fields.
- Experience with stakeholder management, engaging with cross-functional executive stakeholders.
- Experience using data insights to drive product business decisions
Preferred qualifications:
- MBA or other advanced degree in a quantitative discipline.
- Knowledge of and experience with financial systems and concepts.
- Familiarity with analytics methods/theory (e.g., statistics, Machine Learning, etc.) and ability to identify opportunities to apply these.
- Quantitative and analytical mindset applied to understanding customer needs, internal and external.
- Innovative data leader and a problem solver that can turn ambiguous problem spaces into clear solutions
About the job
The Data and Analytics team is a global team that leads Data, Analytics, and AI/ML initiatives across Finance. We build data products, insights, and AI based solutions and partner with Engineering and Business teams across Google. As the head of the team, you will play a vital role in hiring and establishing the team and charter. You will be an exceptional analytics leader and will build analytics solutions and products at scale. You will also offer leadership to other Finance teams. You will coach and develop your team.
The name Google came from “googol,” a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.
Responsibilities
- Hire and establish the Data and Analytics team by establishing the outlook, strategy, and Objectives and Key Results (OKRs), and defining Roles and Responsibilities (R&Rs). Hire and train talent.
- Establish partnership within the team and across Finance, Engineering teams to build scalable data solutions for Finance teams. Lead ideation, and build and implementation and adoption of data and AI solutions. Partner with Engineering teams to operationalize/scale data solutions and improve Google’s business intelligence and analytics platforms (e.g., querying, reporting and analytics tools).
- Provide subject matter expertise and data thought leadership to our global partner teams (e.g., end users, executives, engineering teams).
- Manage a prioritized backlog and run the planning process for the India hub.
- Serve as the onsite leader for other Finance teams, providing guidance and support to partner teams.
