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Senior Director, Data Science - job 31 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

$175000 / YEARLY (est.)
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$150000K
$200000K

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

If you're looking for an exciting challenge in the realm of data and analytics, Visa is looking for a Senior Director, Data Science to join our Atlanta team! In this role, you'll be at the forefront of data innovation, helping our bank and merchant partners leverage our extensive data set, which includes more than 3 billion cards and captures over 100 billion transactions annually. You won't just be managing a team; you'll be mentoring and coaching data scientists, guiding them as they develop creative solutions that have an immediate business impact. Collaboration is key, as you'll work alongside various internal teams to bring the best solutions to life. Your responsibilities will include overseeing multiple projects simultaneously, building and managing robust data science teams, and maintaining strong vendor relationships. Excellent analytical skills are a must, as you'll need to dissect large data sets and synthesize significant insights for our clients. With a strong executive presence, your communication and presentation skills will shine as you engage with leadership and present strategic insights. This hybrid position allows flexibility, and your schedule will be tailored by your Hiring Manager. If you’re ready to drive meaningful change in the world of payment technology, we want to hear from you!

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

As a Senior Director, Data Science at Visa, your primary responsibilities include leading a talented team of data scientists to support bank and merchant partners. You'll oversee the development of predictive models and creative solutions to drive business impact. Management of offshore relationships and maintaining project timelines for multiple concurrent initiatives are also crucial parts of the role. Engaging with clients to cultivate work pipelines and collaborating with peers across various functional areas to leverage Visa's resources further enhance your role.

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What qualifications do I need to apply for the Senior Director, Data Science position at Visa?

To be considered for the Senior Director, Data Science position at Visa, you'll need substantial experience in data science, particularly in leadership and team management roles. Strong analytical skills are essential, with a proven ability to work with large data sets. Excellent communication skills to engage with various stakeholders and showcase your findings effectively are also necessary. A track record of successfully managing multiple projects and strong collaboration abilities will make you a solid candidate.

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How does the Senior Director, Data Science at Visa contribute to client relationships?

In the role of Senior Director, Data Science at Visa, you'll play a crucial role in fostering client relationships. You'll proactively engage with Visa's client leadership during strategic discussions, ensuring that the solutions developed directly address their needs. Your insights will help cultivate a pipeline of work, ultimately driving meaningful business outcomes and enhancing client satisfaction.

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What is the team structure for the Senior Director, Data Science at Visa?

The Senior Director, Data Science at Visa will lead a dynamic team of data scientists, typically 5 to 7 professionals. In addition to overseeing this internal team, you'll also manage relationships with offshore teams and data engineering groups. Collaboration with cross-functional peers in marketing, analytics, and risk will further enhance the effectiveness of your team’s efforts, ensuring that projects leverage Visa's comprehensive resources.

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What makes Visa a great place to work as a Senior Director, Data Science?

Visa offers a vibrant work environment for a Senior Director, Data Science, characterized by innovation and collaboration. With access to an incredibly rich data set and a commitment to client success, you'll have the tools and support needed to tackle significant business challenges. Our hybrid work model ensures flexibility, and the diverse team structure facilitates idea sharing and professional development opportunities, making Visa a premier destination for data professionals.

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

When answering this, highlight specific examples of previous team leadership positions. Discuss your approach to team management, how you structure projects, and ways you have fostered collaboration and growth among team members.

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How do you prioritize multiple data science projects?

Focus on your project management strategies. You might mention tools you use to manage workload, how you assess project importance and deadlines, and your communication with stakeholders to ensure alignment on priorities.

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What approach do you take to develop predictive models?

Detail the steps in your modeling process, such as data collection, cleaning, feature selection, model selection, and validation. Demonstrating your familiarity with various modeling techniques will illustrate your expertise.

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Describe a challenging data problem you have solved.

Share a specific situation where you faced a complex data challenge. Highlight your analytical approach, the tools you utilized, the solution you implemented, and the outcome. This showcases your problem-solving capabilities.

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How do you ensure data quality within your projects?

Discuss the methodologies you employ to validate data, monitor integrity, and implement corrections. Mention any frameworks or tools that are particularly useful in maintaining high data quality.

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How do you engage with clients to understand their data needs?

Emphasize your active listening skills and your strategy for conducting needs assessments. Discuss how you translate client needs into actionable data science projects and how you maintain ongoing communication.

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What role does analytics play in informing business decisions?

Use examples to illustrate how data and analytics have shaped decision-making processes in past roles. Highlight the importance of data-driven insights in achieving strategic objectives.

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Can you describe your approach to coaching junior data scientists?

Explain your mentoring philosophy. Discuss how you provide feedback, encourage skill development, and create opportunities for junior scientists to lead projects or initiatives, all while fostering a supportive learning environment.

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How do you stay current with data science trends and technologies?

Share your strategies for continuous professional development, such as attending conferences, participating in webinars, reading industry publications, and networking with peers to stay updated on trends and innovations.

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What communication strategies do you use when presenting data insights to stakeholders?

Talk about tailoring your communication style to your audience, utilizing visual aids for clarity, and ensuring that your presentations focus on business impact. Emphasize the balance of technical detail and accessibility.

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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 15, 2025

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