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Senior Director, Data Science - job 10 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

Are you ready to step into a leadership role that truly makes an impact? As a Senior Director of Data Science at Visa in Atlanta, you’ll be at the forefront of using our extensive dataset to transform the payment technology landscape. Our Global Data Science group is dedicated to supporting key bank and merchant partners, and as a leader, you will oversee a talented team of Data Scientists who are passionate about harnessing data to solve real-world business challenges. You will manage projects from conception to completion, guiding a team of 5 to 7 professionals. Your role will include building predictive models, fostering collaboration across various functional areas, and engaging in strategic discussions with Visa client leadership. You'll need strong analytical skills to synthesize complex data into actionable insights while also developing relationships with offshore teams and managing vendor performance. This hybrid position allows for flexibility, and you’ll have the opportunity to cultivate innovative frameworks and solutions that address pressing business needs. If you’re excited about leading a high-performing team and passionate about making data-driven decisions in the dynamic world of payments, we would love 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?

The Senior Director of Data Science at Visa is responsible for leading a data science team that supports key bank and merchant partners by overseeing project execution, coaching team members, and managing offshore relationships. This includes developing and maintaining project roadmaps, engaging with clients in strategic discussions, and driving initiatives that leverage Visa's rich data, all while managing 5-10 projects concurrently.

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

To qualify for the Senior Director role in Data Science at Visa, candidates should possess strong analytical skills, a track record of managing and building data science teams, and the ability to work with large datasets. Effective communication skills, executive presence, and collaboration capabilities are crucial, as is the ability to lead projects across various functional areas while engaging with stakeholders at all levels.

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

The Senior Director, Data Science at Visa collaborates closely with peers in marketing, analytics, risk, and innovation. By leveraging resources across global regional teams, this role ensures that projects are executed efficiently and effectively. The emphasis is on creating relationships that foster teamwork and drive data-driven strategies for impactful business decisions.

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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, providing flexibility to work remotely while also allowing for in-office collaboration. The role promotes a culture of innovation and teamwork, encouraging leaders to engage actively with their teams and foster professional development while navigating the challenges of the dynamic payments landscape.

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What impact does a Senior Director, Data Science have on Visa's business?

A Senior Director, Data Science at Visa has a significant impact by developing predictive models and strategies that directly influence business outcomes. By leveraging Visa’s extensive data set, this role plays a pivotal part in driving client success, optimizing project execution, and providing actionable insights that help shape the future of payment technology.

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Common Interview Questions for Senior Director, Data Science
How do you prioritize multiple projects as a Senior Director, Data Science?

Prioritizing projects effectively involves assessing their potential business impact, aligning with strategic goals, and considering resource availability. Discuss how you would use data-driven approaches to evaluate each project's feasibility and importance.

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Can you describe your experience with managing a data science team?

Share your leadership approach, focusing on how you encourage collaboration, professional growth, and performance tracking. Highlight any successful outcomes achieved through your management style.

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What methods do you use to communicate complex data insights to non-technical stakeholders?

Effective communication is key. Describe methods such as using data visualizations, simplifying technical jargon, and tailoring your message to address the specific interests of your audience.

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How have you developed predictive models in past roles?

Provide examples of specific predictive models you’ve created, the data used, and the business outcomes they achieved. Be sure to mention any tools or frameworks you utilized.

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How do you stay updated on industry trends in data science and payment technologies?

Discuss your strategies for continuous learning, such as attending industry conferences, participating in webinars, and pursuing certifications. Highlight how this knowledge informs your decision-making.

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What challenges have you faced while managing offshore teams?

Be honest about previous challenges like communication barriers or time zone differences. Explain how you addressed these issues and maintained effective collaboration.

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Can you provide an example of a successful data-driven strategy you implemented?

Share a specific case where your data insights led to a significant business decision or improvement, explaining your role in the process and the impact of the solution.

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

Metrics are important. Discuss the KPIs you use to evaluate project success, including client feedback, business outcomes, and efficiency metrics, and how you adapt based on these evaluations.

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What is your approach to mentorship within a data science team?

Explain how you prioritize mentorship, detailing how you facilitate learning and skill development among team members, and share any successful mentorship experiences.

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How would you address conflicting priorities within your data science team?

Discuss strategies for conflict resolution, emphasizing open communication, finding common ground, and considering team input to reach a consensus on priorities.

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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 21, 2025

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