Senior Director, Data Science - job 9 of 43

As a Senior Director of Data Science at Visa, your main responsibilities include leading a data science team to support key issuers and merchants, managing offshore relationships, overseeing multiple projects, and fostering collaboration across various functional areas. You'll be tasked with developing predictive models that drive business impact and proactively engaging with clients to identify impactful opportunities.

To qualify for the Senior Director, Data Science position at Visa, candidates should possess extensive experience in data science, including leadership experience in managing teams of data scientists. Strong analytical abilities and a proven track record of working with large data sets are essential, along with excellent communication and presentation skills to engage with stakeholders at all levels.

In the role of Senior Director, Data Science at Visa, you will manage between 5 to 10 projects in parallel. This requires exceptional organizational skills and the ability to guide your team through the project lifecycle, from conception to completion.

As a Senior Director of Data Science at Visa, you will be expected to partner with peers across various functional areas, such as marketing, analytics, and risk. Building strong relationships and collaborating with global teams is crucial to execute projects effectively and leverage Visa’s diverse resources.

The Senior Director, Data Science position at Visa operates on a hybrid work model, allowing for flexibility in your work environment. While specific in-office days may vary, you’ll have the opportunity to balance remote work with time spent collaborating in the office.

When answering this question, focus on specific experiences where you successfully led a data science team, highlighting your coaching strategies and how you fostered professional development. Mention examples of projects you oversaw that made significant impacts on the business.

Discuss your project management methodology, making sure to include how you prioritize tasks, allocate resources, and ensure team communication. Highlight any tools or processes you use to keep projects on track.

Share specific techniques you’ve utilized for developing predictive models, like regression analysis or machine learning algorithms. It’s beneficial to give examples of real-world applications and the business impact these models had.

Emphasize the importance of communication in your role. Describe how you schedule regular check-ins, solicit feedback, and ensure that client needs are being met throughout the project lifecycle.

Provide an example where you successfully collaborated with different departments, explaining the project, your role, and the outcome. Focus on how this collaboration enhanced the project results.

Discuss a specific challenge you encountered in a data science project and detail the steps you took to resolve it. Highlight your problem-solving skills and how the experience contributed to your team's success.

Talk about the metrics or key performance indicators (KPIs) you establish to measure the effectiveness of your team. Explain how you use these metrics for performance reviews and development plans.

Share your approach to professional development, whether it’s attending conferences, participating in online courses, or reading industry publications. Mention any specific resources that have significantly contributed to your expertise.

Describe your experience in managing offshore teams, the strategies you’ve implemented for effective communication, performance tracking, and the onboarding process. Detail how you ensured the quality of their contributions.

Discuss how you communicate at various levels within an organization, emphasizing your ability to present complex data in an understandable way for all audiences. Provide examples of situations where your executive presence made a meaningful difference.