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Senior Director, Data Science - job 20 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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max
$120000K
$180000K

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

Are you ready to take on a pivotal leadership role as a Senior Director of Data Science at Visa in Atlanta? In this exciting position, you'll be at the forefront of ensuring that Visa’s payment technology is accessible to everyone, everywhere. Leading a talented data science team, you’ll have the unique opportunity to leverage Visa’s extensive data set, which includes more than 3 billion cards and over 100 billion transactions annually. Your creativity will shine as you build solutions that directly impact our partners’ businesses, working alongside various teams to drive meaningful change. You'll manage multiple projects simultaneously, providing oversight and professional development for your team of skilled data scientists. As you engage with clients and internal leaders alike, your analytical skills and executive presence will be key in navigating strategic discussions. Collaborating across different functional areas, you’ll develop predictive models and frameworks that will help unveil impactful opportunities. If you're passionate about leading innovative data projects and transforming insights into action, we want you on our team at Visa!

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

As the Senior Director of Data Science at Visa, your key responsibilities will include leading a team of data scientists to support issuers and merchants, managing multiple projects from conception to completion, and developing predictive models that drive business impact. Additionally, you will engage with clients regularly, foster relationships with offshore teams, and collaborate with peers in various functional areas to maximize Visa’s resources and capabilities.

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

Candidates applying for the Senior Director of Data Science position at Visa should possess strong analytical skills and a proven track record of managing teams of data scientists. A deep understanding of data modeling and analytics, along with excellent communication and leadership abilities, is essential. Experience in project management, vendor relationships, and exposure to various functional areas within a large organization will greatly enhance your candidacy.

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

The Senior Director of Data Science collaborates closely with peers in areas such as marketing, analytics, risk, and innovation. This collaboration is crucial for executing projects that leverage Visa’s resources effectively. By fostering communication across teams, you can ensure that analytics insights are translated into actionable strategies that benefit both Visa and its partners.

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What skills are important for success as a Senior Director of Data Science at Visa?

Success as a Senior Director of Data Science at Visa requires a combination of strong leadership, analytical skills, and exceptional communication abilities. You should be capable of synthesizing large datasets into actionable insights while leading a diverse team. Additionally, having strong project management skills and the ability to engage with clients and stakeholders at all organizational levels are crucial for thriving in this role.

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What does the hybrid work model look like for the Senior Director of Data Science at Visa?

The hybrid work model for the Senior Director of Data Science at Visa involves a blend of both remote work and in-office days. The specific expectations regarding in-office days will be confirmed by your Hiring Manager, allowing flexibility while ensuring collaboration and interaction among team members is maintained.

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Common Interview Questions for Senior Director, Data Science
Can you describe your experience leading a data science team?

In your response, highlight specific examples of how you managed teams, oversaw projects, and promoted professional development. Emphasize the importance of mentorship and creating an environment that encourages innovation and collaboration.

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What methodologies do you use to develop predictive models?

Discuss the modeling techniques you are familiar with, such as regression analysis, decision trees, or machine learning algorithms. Provide examples of past projects where you've applied these methodologies to drive business decisions, focusing on the outcomes.

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How do you prioritize multiple projects effectively?

Explain your approach to project management, including how you assess project impact, timelines, and resource allocation. Illustrate with a real-world scenario where you successfully juggled competing priorities and met deadlines.

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What is your approach to vendor management and offshore relationships?

Share your experience in establishing clear communication channels, performance tracking, and onboarding processes for offshore teams. Highlight strategies for smooth collaboration and how you resolve any challenges that arise.

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How do you ensure that data-driven insights are effectively communicated to stakeholders?

Discuss your strategies for translating complex data findings into clear, actionable recommendations for stakeholders at different levels. Emphasize the importance of creating visual presentations and tailoring your communication style accordingly.

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Can you provide an example of a challenging data problem you solved?

Detail a specific data challenge you encountered, the analysis techniques you used, and the outcome. Focus on how you identified the problem, the analytical rigor applied, and the positive impact of your solution.

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What strategies do you use to engage with clients and foster long-term relationships?

Highlight your networking approach, such as regular check-ins, understanding client needs, and delivering value beyond expectations. Share specific instances where your efforts led to strengthened client relationships.

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How do you stay updated with the latest trends in data science?

Share your routine for professional development, including attending conferences, participating in online courses, and engaging with industry thought leaders. Mention how you apply these learnings to improve your team's performance.

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What experience do you have with cross-functional collaboration?

Discuss your prior work with teams beyond data science, providing examples of successful projects that required input from various departments. Emphasize the need for alignment and mutual support to achieve overarching goals.

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How do you approach mentoring and developing junior data scientists?

Outline your mentorship philosophy and methods for fostering growth in junior data scientists. Mention specific examples of success stories, techniques you've employed, and the importance of cultivating a supportive learning environment.

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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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