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Senior Director, Data Science - job 19 of 43

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems.

Essential Functions

  • Lead data science team supporting issuers or merchants, including project oversight, coaching and professional development
  • Manage offshore relationships, including vendor management, performance tracking and onboarding/offboarding activities
  • Manage Data Engineering relationships, including creating and maintaining roadmaps and prioritizations
  • Manage 5 to 10 projects in parallel, from conception to completion utilizing a team of 5 to 7 experienced professionals
  • Experience building and managing teams of data scientists
  • Strong analytical skills, with demonstrated intellectual and analytical rigor and ability to work with large data sets to synthesize key impacts for clients.
  • Develop propensity, segmentation, and other predictive models to drive business impact
  • Proactively engage with clients and Visa client leadership in regular strategic & planning discussions, cultivate and manage a pipeline of work with clients
  • Develop frameworks, approaches, solutions, and recommendations that effectively and efficiently address the most impactful opportunities and challenges.
  • Partner with peers in other functional areas (e.g., marketing, analytics, risk, innovation) and across global regional teams to execute projects in ways that leverage the breadth and depth of Visa’s resources
  • Executive Presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations.
  • Demonstrated leadership, managerial and collaboration capabilities, particularly with those who are not direct reports as may be found in a matrixed organization.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Average salary estimate

$150000 / YEARLY (est.)
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$120000K
$180000K

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What You Should Know About Senior Director, Data Science, Visa

As the Senior Director of Data Science at Visa in Atlanta, you will be at the forefront of utilizing our extensive global data sets to drive insightful business solutions. At Visa, we understand that effective payment technology can make a real difference, and your leadership will ensure that our key bank and merchant partners succeed in this endeavor. You will lead a talented team of data scientists, overseeing various projects that directly impact our analytical partners’ businesses. You'll be responsible for managing relationships with offshore vendors and data engineering teams while juggling multiple projects from inception to completion. Your background in developing predictive models and your strong analytical skills will enable you to provide valuable insights that can transform business operations. Frequent engagement with clients and showcasing executive presence through excellent communication skills will be integral to your role. You will also collaborate across various functional departments and global teams, leading initiatives that leverage Visa's extensive resources for optimal outcomes. As this is a hybrid position, you’ll have flexibility in your work environment while maintaining strong teamwork with your colleagues. Join us and help Visa create meaningful solutions that resonate globally, ensuring our payment technology is accessible to everyone, everywhere.

Frequently Asked Questions (FAQs) for Senior Director, Data Science Role at Visa
What are the main responsibilities of a Senior Director, Data Science at Visa?

The Senior Director, Data Science at Visa is responsible for leading a data science team, managing vendor relationships, overseeing multiple projects, and developing predictive models that drive significant business impact. You will also engage directly with clients to cultivate partnerships and make strategic decisions based on large data sets.

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What qualifications are required for the Senior Director, Data Science position at Visa?

Candidates for the Senior Director, Data Science position at Visa should possess a strong analytical background, experience in managing data science teams, and demonstrated expertise in developing predictive analytics. Excellent communication and leadership skills are also crucial for effective engagement with clients and cross-functional teams.

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How does the Senior Director, Data Science at Visa collaborate with other teams?

The Senior Director, Data Science collaborates across various functional areas at Visa, including marketing, risk, and analytics. This collaboration ensures that projects utilize Visa's wide-ranging resources and insights, addressing the most impactful challenges faced by clients.

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What is the working environment like for a Senior Director, Data Science in Atlanta?

The role of Senior Director, Data Science at Visa offers a hybrid working environment, providing flexibility in where you work. You will interact closely with team members and clients, fostering collaboration while enjoying the benefits of a modern workplace.

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What qualities does Visa look for in a Senior Director, Data Science?

Visa seeks candidates for the Senior Director, Data Science role who demonstrate leadership capabilities, strong analytical skills, the ability to communicate effectively at all organizational levels, and a passion for driving impactful business solutions through innovative data science practices.

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Common Interview Questions for Senior Director, Data Science
Can you describe your experience in managing data science teams?

When answering this question, emphasize your leadership experiences, including the size of teams you've managed, the nature of the projects completed, and any specific outcomes or successes resulting from your leadership.

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How do you approach project oversight in data science initiatives?

Discuss your methodology for tracking projects, ensuring timelines are met, and the ways in which you facilitate communication among team members and stakeholders to keep projects aligned with the objectives.

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What strategies do you use to develop predictive models?

Share specific techniques you've employed, such as segmentation analysis or propensity modeling, and explain how these strategies resulted in actionable insights and business value for your clients.

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How do you stay current with advancements in data science?

Mention how you regularly engage with industry literature, attend conferences, or participate in professional networks to ensure you're aware of new methodologies and technologies that can be leveraged in your work.

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Describe a time when you had to manage a challenging client relationship.

Use the STAR method to outline the situation, your role, the actions you took to resolve the issue, and the positive outcome. Emphasize your communication skills and ability to build rapport.

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What is your experience with cross-functional teamwork?

Illustrate how you've successfully worked with teams in other departments, sharing examples of collaborations that resulted in beneficial outcomes for both your team and the organization as a whole.

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How do you prioritize multiple projects simultaneously?

Provide insight into your prioritization methods, such as frameworks you use to assess urgency and importance, as well as how you keep stakeholders informed of progress.

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Can you give an example of a successful data-driven decision you've made?

Share a specific case where your analyses led to a significant decision or change in strategy, detailing the data used and the resulting impact on business performance.

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What role do you think data science plays in enhancing customer experiences?

Discuss the importance of data insights in personalizing client interactions, predicting customer needs, and improving services or products based on analytical findings.

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How do you measure the success of your data science initiatives?

Highlight any key performance indicators or evaluation methods you implement to track the effectiveness of your projects and how these inform ongoing strategies and improvements.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 18, 2025

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