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Senior Director, Data Science - job 5 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

$140000 / YEARLY (est.)
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$120000K
$160000K

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

Are you ready to join Visa as a Senior Director, Data Science in Atlanta? At Visa, we believe in making payment technology accessible to everyone, everywhere, and we're looking for someone as passionate as we are to help us achieve that vision. In this dynamic role, you'll lead a talented data science team dedicated to supporting our bank and merchant partners, utilizing our extensive data set that encompasses over 3 billion cards and 100 billion transactions annually. Your day-to-day will involve overseeing multiple exciting projects, coaching up-and-coming data scientists, and nurturing offshore relationships to ensure seamless vendor management. You'll leverage your strong analytical skills to develop predictive models that drive significant business impact and engage directly with clients to align strategies. Collaboration is at the heart of what we do, as you'll work alongside various teams across Visa to find innovative solutions to complex business problems. This hybrid position offers a balance between in-office and remote work, with the expectation of in-office days confirmed by your Hiring Manager. If you’re ready to take on a rewarding challenge and make a difference at Visa, we would love to hear from you!

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

As a Senior Director, Data Science at Visa, you will lead a team of data scientists dedicated to supporting our issuer and merchant partners. Your responsibilities will include project oversight from conception to completion, managing relationships with offshore vendors, and developing predictive models that help drive business impact.

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What qualifications are necessary to become a Senior Director, Data Science at Visa?

To be successful as a Senior Director, Data Science at Visa, candidates should have strong analytical skills and experience in managing teams of data scientists. A track record of synthesizing insights from large data sets, as well as excellent communication and leadership abilities, are crucial for collaboration across various functional areas.

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How does Visa support the career development of a Senior Director, Data Science?

Visa invests in the career growth of a Senior Director, Data Science by offering coaching and professional development opportunities. You'll have access to mentorship and resources to further enhance your skills while working on impactful projects that can elevate your career trajectory.

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What is the work culture like for a Senior Director, Data Science at Visa?

At Visa, the work culture for a Senior Director, Data Science is collaborative and innovative. Emphasizing complementary teamwork, you will regularly engage with peers in various functional areas, fostering an environment where diverse ideas are welcomed and encouraged.

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What skills are essential for success as a Senior Director, Data Science at Visa?

Essential skills for a Senior Director, Data Science at Visa include excellent analytical abilities, strategic thinking, exceptional communication skills, and strong leadership capabilities. You must also be adept at managing multiple projects simultaneously and effectively engaging with clients to address their needs.

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

When answering this question, focus on specific examples of projects you've led, highlighting your leadership style and how you've contributed to your team's development and performance. Mention any strategies you've used to foster collaboration and creativity within your team.

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How do you approach the development of predictive models?

In your response, outline your methodology for model development, including data preparation, feature selection, selection of algorithms, and validation techniques. Emphasize your ability to translate complex data insights into actionable business strategies.

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What strategies do you use for stakeholder management?

Discuss your approach to engaging stakeholders by providing regular updates, soliciting feedback, and involving them in critical conversations. Highlight the importance of building relationships and understanding client needs for successful project outcomes.

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How do you prioritize projects when managing multiple timelines?

Share your approach to prioritization, such as using a framework for assessing project impact and urgency. Discuss how you communicate priorities with your team and ensure alignment on goals to keep projects on track.

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What methods do you use to evaluate the success of your data science projects?

Mention the KPIs you consider essential for evaluation, such as business impact, client satisfaction, and accuracy of predictions. Explain how you gather feedback and iterate on projects post-implementation for continuous improvement.

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Describe a challenging project you've managed and how you overcame obstacles.

Share a specific example of a project, detail the challenges you faced, and explain the steps you took to resolve them. Highlight your problem-solving skills and teamwork, showcasing how you engaged your team and stakeholders to ensure success.

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How do you stay current with trends in data science?

Discuss the various resources you utilize for staying informed, such as academic journals, online courses, conferences, and networking with peers in the industry. Emphasize your commitment to lifelong learning and how it benefits your work.

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Can you give an example of how you've used data to drive business decisions?

Provide a concrete example where your data analysis influenced a key business decision. Explain the data you analyzed, the insights you discovered, and how they were applied to achieve successful outcomes.

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How do you ensure the ethical use of data in your projects?

Discuss your commitment to ethical data practices, referencing the importance of data privacy and compliance. Share how you incorporate ethical considerations into your project planning and decision-making processes.

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What is your leadership style when managing diverse teams?

Describe your leadership philosophy, emphasizing inclusivity and collaboration. Talk about how you adapt your style to meet the unique needs of team members while fostering an environment that encourages creativity and respect.

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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 22, 2025

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