Minimum qualifications:
* Bachelor's degree or equivalent practical experience.
* 4 years of experience in finance related roles with experience in systems maintenance, system integrations, project management and data analytics.
Preferred qualifications:
* Experience working with SQL, spreadsheets, dashboards, data visualizations and data analytics programs.
* Experience in Stock plan administration or global mobility tax.
* Ability to work on cross-functional and cross-team projects.
* Ability to navigate ambiguity and grow in a fluid environment.
* Ability to learn and grow in all areas of work.
* Ability to work as a part of the team and independently along with excellent problem-solving and communication skills.
About the job:
The Finance Operations team manages Google's cash transactions on a global basis and ensures that Google's incoming and outgoing cash processes are controlled, effective and efficient. As a member of this team, you'll find innovative ways to manage our complex set of transactions. You'll make processes more efficient and scalable, work to ensure the highest level of quality of our operations, and proactively minimize operational risk. Externally, you collaborate with our extended workforce partners and internally, you will collaborate across the multiple areas of the Financial Operations 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:
* Lead and manage the team's automation and AI related efforts relating to existing and future stock equity related programs and processes.
* Perform data analytics by utilizing the existing data on the company's stock equity program and provide informed recommendations and improvements on various programs.
* Identify opportunities for improvement in operational processes and programs including automation and AI related efforts.