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Senior Director, Data Science - job 26 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

As the Senior Director of Data Science at Visa in Atlanta, you will play a pivotal role in ensuring that our payment technology is accessible to everyone, everywhere. The Global Data Science group here harnesses our extensive data set, which includes over 3 billion cards and captures more than 100 billion transactions annually, to build innovative solutions for our key banking and merchant partners. In this leadership position, you will guide a talented team of Data Scientists, offering oversight on multifaceted projects, coaching team members for professional growth, and managing external vendor relationships. Your responsibility will include steering various projects simultaneously, developing advanced predictive models, and working collaboratively across our organizational matrix to drive significant business outcomes. You will engage closely with clients, facilitating strategic discussions and nurturing a steady pipeline of opportunities. Your exceptional analytical skills and executive presence will enable you to elevate high-stakes discussions, ensuring that our solutions effectively address critical challenges. As a hybrid role, you’ll enjoy the flexibility of remote work while collaborating in person as guided by your hiring manager. If you're passionate about leveraging data to create impactful business solutions, this is the chance you’ve been waiting for!

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

The Senior Director of Data Science at Visa is responsible for leading a team that supports issuers and merchants through project oversight, coaching, and development. This role involves managing offshore relationships, overseeing data engineering processes, and handling multiple projects simultaneously. The Director must also develop predictive models, engage with clients, and collaborate with various functional areas to drive business impact.

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

Candidates for the Senior Director, Data Science position at Visa should possess strong analytical and managerial skills, with experience in leading teams of data scientists. A deep understanding of data synthesis and predictive modeling is essential, as well as excellent communication abilities to convey complex ideas to diverse audiences. Proven experience in stakeholder engagement and collaboration in a matrixed environment is also crucial.

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How does the Senior Director of Data Science at Visa drive business impact?

The Senior Director of Data Science at Visa drives business impact by developing predictive models and analytical frameworks that address key challenges for banking and merchant partners. By synthesizing large data sets and engaging in strategic planning discussions, the Director can cultivate opportunities that significantly enhance the operational efficiency of Visa's clients.

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What types of projects will the Senior Director, Data Science manage at Visa?

The Senior Director, Data Science at Visa will manage a variety of projects ranging from predictive modeling to developing solutions for enhancing client engagement. Projects will involve utilizing comprehensive data analytics to support issuers and merchants, while balancing the priorities of multiple initiatives spanning the organization.

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

Essential skills for the Senior Director of Data Science at Visa include strong analytical and critical thinking skills, excellent communication capabilities, and proven leadership and collaboration experience. The capacity to engage stakeholders effectively, manage complex projects, and synthesize insights from large data sets is crucial for achieving success in this role.

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

When responding to this question, emphasize your leadership capabilities, specific examples of team management, and any successful projects you led. Discuss how you foster collaboration and professional development within your team, as well as any strategies you employed to effectively manage team performance and morale.

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How do you approach developing predictive models?

In answering this question, outline your step-by-step approach to building predictive models. Include aspects such as data selection, feature engineering, algorithm choice, model validation, and application of the model within the business context, showcasing your analytical skills and understanding of model impact.

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What strategies do you use to engage clients in data science projects?

Discuss specific techniques you've employed to engage clients, such as regular strategy meetings, understanding their business challenges, and communication of results. Emphasize how you cultivate relationships and build trust, ensuring that clients are involved throughout the project lifecycle.

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Can you provide an example of a successful data-driven decision you facilitated?

Describe a particular scenario where your data analysis directly influenced a business decision. Focus on the data methods used, the decision-making process, and the positive outcome that resulted, demonstrating your ability to leverage data for impactful results.

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How do you handle multiple projects simultaneously?

Explain your organizational techniques, such as prioritizing tasks, using project management tools, and ensuring clear communication among team members. Highlight any experiences where you successfully juggled competing deadlines while maintaining quality and efficiency.

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What role does data synthesis play in your work as a Senior Director?

Clarify how you utilize data synthesis to extract meaningful insights from large data sets. Explain how you apply these insights to guide decision-making and support your team and clients in their objectives, showcasing your analytical proficiency.

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Describe a time when you had to manage stakeholder expectations.

Provide an example illustrating how you navigated differing stakeholder expectations during a project. Discuss your communication strategies and any adjustments you made to align project goals with stakeholder needs, emphasizing your diplomacy and conflict resolution skills.

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What key performance indicators (KPIs) do you focus on as part of a data project?

Identify the KPIs that you prioritize to measure project success, such as accuracy of predictive models, client satisfaction, and time to impact. Discuss how you determine these indicators and how they guide your project execution and decision-making.

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How do you ensure quality and accuracy in data science projects?

Highlight your methods for ensuring quality and accuracy, including data validation techniques, peer reviews, and maintaining documentation. Explain your commitment to precision and integrity in analysis, stressing the importance this has in supporting business decisions.

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What trends in data science do you find most exciting right now?

Share insights about current trends in data science that impact the finance or technology sectors, such as AI advancements, machine learning applications, or ethical considerations in data usage. Emphasize your eagerness to stay current in the field and how these trends could influence your role at Visa.

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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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