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Senior Director, Data Science - job 38 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

$165000 / YEARLY (est.)
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$150000K
$180000K

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

At Visa in Atlanta, we're on the lookout for a dynamic Senior Director of Data Science to lead our innovative data science team. Your mission? Enhance Visa’s payment technology and ensure it's accessible to everyone, everywhere by leveraging our massive database, which includes over 3 billion cards and more than 100 billion transactions annually. You’ll be instrumental in developing cutting-edge solutions that deliver immediate benefits to our analytical partners, including banks and merchants. As the head of the Data Science team, you’ll guide and nurture a passionate group of data scientists, oversee multiple projects, and manage key offshore relationships to ensure optimal performance. Here, you’ll collaborate with various functional areas to create predictive models that drive business impact and participate in strategic discussions with our clients. If you have a strong analytical background coupled with exceptional leadership abilities, we want to hear from you. Join us and let’s make an impact together!

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 a Senior Director of Data Science at Visa, you will lead and oversee a talented team of data scientists, managing multiple projects from ideation to completion. Your role involves developing predictive models, engaging with clients to understand their needs, and collaborating across various functional teams to deliver impactful solutions. Additionally, you will handle offshore vendor relationships, ensuring that performance metrics are met while maintaining a robust onboarding process.

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What qualifications are needed for the Senior Director, Data Science role at Visa?

To qualify for the Senior Director of Data Science position at Visa, candidates should have extensive experience in managing data science teams, strong analytical skills, and a proven track record of handling large data sets. A robust understanding of predictive modeling and a history of engaging with senior stakeholders are also crucial. Excellent communication and leadership skills are vital, especially in a matrixed organizational environment.

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How does Visa ensure collaboration among Data Science teams?

At Visa, collaboration is at the core of the Senior Director of Data Science's role. The position involves working closely with various functional areas, such as marketing, analytics, and risk management, fostering cross-functional partnerships that capitalize on Visa's vast resources. Regular strategic discussions with clients also help align project objectives with their pressing business challenges.

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

The work environment for a Senior Director of Data Science at Visa is hybrid, allowing for flexibility in office attendance. It involves both collaborating in person and working remotely, providing a balanced approach that promotes both teamwork and independent project oversight. Expect to engage with a diverse team while also leading initiatives that significantly influence Visa’s strategies.

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What opportunities for professional development does Visa offer to Data Science staff?

Visa places a strong emphasis on professional development for its Data Science teams. As a Senior Director, you will coach junior staff and support their professional growth. Visa often provides resources for training, mentorship programs, and opportunities to work on impactful projects, ensuring that all Data Science professionals continuously advance their skills and careers.

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

When answering this question, focus on specific projects you've led, detailing your role, the challenges faced, and how you guided your team to success. Emphasize your leadership style and how you fostered collaboration to achieve project goals.

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How do you prioritize multiple data science projects?

Discuss the frameworks or methodologies you use to assess project importance and urgency. Highlight your experience in managing expectations from stakeholders and how you balance competing priorities effectively.

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What analytical techniques do you find most effective in data science?

Share the specific techniques or models you frequently use, such as regression analysis or machine learning algorithms. Provide examples of their successful application in real-world scenarios, especially in improving business metrics.

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How do you handle disagreements within your team?

Explain your approach to conflict resolution, highlighting your ability to facilitate open communication. Focus on how you ensure all team voices are heard and how you steer discussions towards constructive outcomes.

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What strategies do you employ to ensure effective communication with clients?

Talk about the importance of understanding client needs and maintaining open lines of communication. Mention techniques such as regular updates, feedback sessions, and strategic meetings to build strong relationships with clients.

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Describe a time when you used data to drive business decisions.

Share a specific instance where your data analysis led to a significant business decision. Detail the data you utilized, your analysis process, and the outcome, particularly how it benefited your organization or clients.

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How do you stay current with trends in data science?

Discuss your methods for keeping up with data science trends, such as attending conferences, subscribing to industry publications, and participating in online courses. Emphasize your commitment to continuous learning and adaptation.

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What is your experience with predictive modeling?

Detail your background in developing and deploying predictive models. Provide examples of models you've created, the data used, and the impact they've had on decision-making or business outcomes.

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How do you build a strong data science team?

Discuss your strategies for team building, including recruiting, mentoring, and fostering a collaborative environment. Highlight the importance of diversity, skill-building, and ongoing professional development.

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What role does data ethics play in your work as a data scientist?

Share your perspective on data ethics and its importance in data science projects. Emphasize best practices for ensuring data privacy, avoiding bias, and making ethical decisions in your analyses.

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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 12, 2025

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