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Senior Director, Data Science - job 37 of 41

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

As the Senior Director of Data Science at Visa in Atlanta, you will play a pivotal role in leveraging Visa’s vast data resources to empower our bank and merchant partners. This position is all about creativity and innovation as you lead a dynamic team of data scientists focused on solving complex business problems with real-world impact. You'll oversee a variety of projects that incorporate rich data insights from over 3 billion cards and more than 100 billion transactions annually. Collaborating closely with internal teams and external partners, you’ll be responsible for managing project timelines, offshore relationships, and maintaining a clear roadmap for data engineering initiatives. Your strong analytical skills will ensure that predictive models for propensity and segmentation are not only built but also effectively integrated into our strategies. This is an incredible opportunity for someone who thrives on multi-tasking across 5 to 10 projects simultaneously and enjoys building professional relationships while coaching a team of talented professionals. Your exceptional communication skills will be key in engaging with clients and fostering collaborative efforts across various functional areas. This hybrid role offers flexibility while also requiring a strong executive presence as you present findings and drive strategic discussions at all organizational levels. Are you ready to make a meaningful impact with Visa's cutting-edge payment technology? Join us in making sure our technology is available to everyone, everywhere.

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

The Senior Director, Data Science at Visa will lead and manage a data science team working on projects for issuers or merchants. Responsibilities include overseeing project execution, coaching team members, and managing offshore relationships, including vendor relations and performance tracking. You'll also develop predictive models, engage with clients in strategic discussions, and work collaboratively with various internal teams to deliver impactful data-driven solutions.

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

Candidates for the Senior Director, Data Science role at Visa are expected to have a solid background in data science with experience managing teams of data scientists. Strong analytical and leadership skills are critical, as well as proficiency in statistical modeling and predictive analytics. Additionally, excellent communication skills are necessary to present complex ideas effectively at all organizational levels and manage collaborative efforts across various functions.

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How does the Senior Director, Data Science position impact Visa's business?

The Senior Director, Data Science plays a crucial role at Visa by utilizing vast data analytics to solve significant business challenges for our partners, ultimately improving their performance. By developing effective analytics frameworks and predictive models, you drive insights that help enhance strategies and decision-making, fostering better business outcomes and ensuring Visa remains a leader in payment technology innovation.

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

To succeed as a Senior Director, Data Science at Visa, you will need strong analytical capabilities to manage large datasets and extract meaningful insights. Leadership skills are essential for guiding team members and overseeing multiple projects effectively. Additionally, your ability to communicate complex data-driven ideas in a clear and impactful manner will be key to influencing stakeholders and fostering collaboration across different teams at Visa.

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Is the Senior Director, Data Science role at Visa a remote position?

The Senior Director, Data Science position at Visa is a hybrid role, which means that while flexibility is offered for remote work, some days will be required in the office. The specific expectations regarding in-office days will be confirmed by your Hiring Manager, allowing for a balanced approach to work and collaboration.

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

In your answer, emphasize your past roles where you've had direct leadership over data science teams. Discuss the number of direct reports you've managed, the types of projects you've overseen, and how you foster collaboration and growth within your team to ensure they meet their goals.

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What methods do you use to evaluate predictive models?

When answering, mention specific techniques such as cross-validation, ROC-AUC, or confusion matrices that you employ to assess model performance. Discuss how you interpret the results and make decisions for model improvement, aligning with business objectives.

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How do you prioritize projects within your team?

Discuss your approach to project management, including how you assess project impact, client needs, and resource availability. Explain how you use feedback from team members and stakeholders to ensure that high-impact projects are prioritized effectively.

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Tell me about a time when your data analysis drove business change.

Be prepared to narrate a compelling story illustrating your analysis process, the insights you derived, and the tangible outcome or change it led to within the organization. Highlight your role and the methods you used to communicate these insights to key stakeholders.

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How do you foster collaboration between data science and other teams?

Discuss specific instances where you actively worked with teams such as marketing, risk, or analytics. Emphasize your methods for establishing open communication, aligning goals, and encouraging the sharing of insights to leverage each team’s strengths.

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What are some challenges you’ve faced while managing offshore teams?

Be honest about the difficulties you’ve encountered, whether they pertain to communication barriers, time zone differences, or cultural considerations. Elaborate on how you’ve addressed these challenges to build a cohesive and effective team dynamic.

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How do you keep your data science skills fresh and up to date?

Mention various strategies you use to stay current in the field, such as attending workshops, contributing to online forums, taking advanced courses, or reading research papers and articles on the latest methodologies in data science.

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What role does storytelling play in data science for you?

Explain how you view storytelling as an essential element of data science. Discuss how you craft narratives around data insights to make them more relatable and actionable for business decisions, ensuring stakeholder engagement and buy-in.

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Describe a situation where you had to communicate complex findings to a non-technical audience.

Share an example that shows your communication prowess, emphasizing your ability to simplify technical data into relatable concepts. Highlight how you tailored your presentation or report to the audience's level of understanding.

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What is your understanding of data ethics in your role as a data scientist?

Discuss the importance of ethical considerations in data science, such as privacy, data protection, and bias mitigation. Share your commitment to upholding ethical standards and how you incorporate them into your team's practices.

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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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