About the Role
Cash is a broadly adopted payment method around the world, in spite of the recent growth of digital ones. It is an important payment solution across multiple segments of our users, but mainly within unbanked and underbanked people. Cash’s specific characteristics make its operation unique and it deserves special attention. The Cash Team is responsible for ensuring a healthy operation for cash payments and aims at optimizing processes and user experience in order to have the best value for all users.
We are looking for a Sr Manager of Cash Operations who will join the Global Payment Operations team. This person will create and implement the strategy of cash payments focused on collections methods as well as features that enhance the cash UX across all lines of business. This is a meaningful role aimed at delivering optimization of processes with a customer-centric approach, prioritizing user engagement as well as profitability. The ideal candidate would require a combination of stakeholder management, strategic thinking, problem solving, quantitative analysis, and interpersonal skills to work with cross-functional teams across different territories and to communicate effectively with senior stakeholders.
What the Candidate Will Need / Bonus Points
- Build the strategy to make payments in cash a sustainable and frictionless payment method at Uber. Leverage data to identify main pain points and design a set of initiatives to be executed in collaboration with cross-functional -local, regional and global- teams
- Build and/or enhance reporting tools to track down key results. Produce ad hoc analysis to deep dive on specific topics related to cash payments
- Design and implement processes with the objective of ensuring a frictionless operation of cash payments - Collaborate with regional and local teams in diverse initiatives related to enable and/or optimizing cash operations
- Map existing processes and identify areas of improvement. Take the lead on proposing new solutions, experimenting, iterating and implementing them.
- Product Improvement - Identify recurrent pain points and consolidate information accordingly for building a business case for product improvements
- Be owner - Take ownership of Cash payment operations and do everything you need to support and enhance the quality of the operation and the value offered to users. We expect you to be proactive and resourceful in order to remove roadblocks and find creative solutions.
Basic Qualifications
- 6+ years of work experience in strategy, operations, analytics, business development, or a variety of other specialty roles with demonstrated ability in quantitative fields
- Exceptional communication skills in English. Alternative languages are highly preferred.
- Stakeholder management to communicate strategies to senior leaders within multiple teams with the objectives of driving collaborative efforts across teams
- Strong business acumen within the Payments and e-commerce environment.
- Problem solving - Being able to tackle issues that have an impact on people, processes, and infrastructures by using logic, common sense and data. Identifying the root cause of a problem as opposed to focusing on the symptoms. Delegating tasks and managing projects involving cross functional teams is desirable.
- Ability to make data driven decisions and strategize with a clear action plan to solve complex problems in which business data is involved. Proven experience with quantitative data analysis required.
- Experience with storytelling: translating data insights into business intelligence with a course of action
- Ability to take initiative in a constantly-changing work environment while maintaining flexibility and a collaborative attitude and to drive analysis and get into conclusions
- Experienced communication skills that will allow you to clearly explain and justify your decision making to high leadership and to our partners (technical and non technical backgrounds)
- Experience creating and optimizing processes
Preferred Qualifications
- Proven experience with SQL and/or AI tools for data analysis