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Senior Director, Data Science - job 8 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

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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

Are you ready to take the helm of a dynamic team as the Senior Director of Data Science at Visa in Atlanta? In this exciting role, you will spearhead our efforts to enhance the payment technology landscape, ensuring it's accessible for everyone, everywhere. With Visa's unparalleled data set—spanning over 3 billion cards and 100 billion transactions a year—you'll devise innovative solutions that directly impact our key partners, whether they are banks or merchants. Your leadership will focus on managing a talented team of 5 to 7 data scientists, guiding them through up to 10 parallel projects from inception to completion. You're not just a manager; you're a mentor, providing coaching and professional development to your team while also navigating complex offshore relationships for vendor management. Your analytical prowess will shine as you synthesize substantial data sets to create predictive models that drive business outcomes. In this hybrid role, excellent communication and collaboration skills are essential, as you'll engage with clients and internal teams alike, facilitating strategic discussions that harness our global resources. If you're passionate about using data science to tackle significant business issues and cultivate impactful relationships, Visa offers an environment where innovation thrives, and your contributions make a difference.

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

As the Senior Director, Data Science at Visa, you’ll lead a dedicated data science team, oversee multiple projects, and manage relationships with offshore vendors along with Data Engineering. Your focus will include developing predictive models and frameworks that address impactful business opportunities, while also engaging with clients to ensure their needs are met through data-driven strategies.

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

Candidates applying for the Senior Director, Data Science role at Visa should possess strong analytical skills, demonstrated leadership experience, and the ability to manage a team of data scientists. Familiarity with large data sets and predictive modeling is crucial, along with excellent communication skills to effectively interact with clients and various teams within Visa.

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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, Data Science at Visa is collaborative and innovative, encouraging teamwork across different departments. This hybrid position allows for a mix of in-office and remote work, with the expectation of engaging regularly with your team and clients to drive data solutions and business strategies.

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How does Visa support professional development for the Senior Director, Data Science?

At Visa, professional development is a cornerstone of our workplace culture. As a Senior Director, Data Science, you will have opportunities for coaching, mentoring, and leadership training to enhance your skills. You’ll be encouraged to cultivate your team's growth while also discovering new avenues for your development through workshops and industry conferences.

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

In the role of Senior Director, Data Science at Visa, you will manage a range of projects that leverage Visa's extensive data for predictive modeling and client engagement strategies. These projects will span various aspects of the business, including merchant and issuer insights, and involve collaborating with cross-functional teams to ensure comprehensive solutions.

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Common Interview Questions for Senior Director, Data Science
Can you describe a successful data science project you led?

When discussing a successful data science project, highlight the project's objective, your specific role, and the impact it had on the business. Detail the methodologies used and emphasize any predictive models you developed and the decision-making processes that were influenced by the insights gained.

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How do you prioritize projects when managing multiple tasks?

Discuss your approach to prioritization, including any frameworks you use, such as impact vs. effort analysis. Explain how you evaluate project urgency, stakeholder needs, and the alignment with business goals to ensure that your projects receive the appropriate attention and resources.

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How do you handle communication with clients and internal teams?

Explain your strategy for communication, emphasizing the importance of clarity, regular updates, and collaborative feedback. Share examples of how you have facilitated discussions and aligned different teams and clients toward common goals, ensuring that everyone is engaged in the project's progress.

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What strategies do you use to mentor your team effectively?

Talk about your mentoring philosophy and specific strategies you’ve used, such as regular one-on-one check-ins, personalized development plans, and fostering a culture of open feedback. Share anecdotes about how these practices have led to team member growth and increased project success.

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How do you stay updated on the latest trends in data science?

Highlight your commitment to continuous learning through attending industry conferences, participating in webinars, following relevant publications, and engaging with professional networks. This demonstrates your proactive approach to staying ahead in the ever-evolving field of data science.

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Can you provide an example of overcoming a significant challenge in a project?

Share a specific challenge you faced and the steps you took to resolve it. Focus on your problem-solving skills, the importance of collaboration, and how the resolution benefited the project outcomes and team dynamics.

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What is your experience with predictive modeling?

Discuss your familiarity with various predictive modeling techniques and the software tools you have used. Provide examples of projects where these models led to actionable insights and tangible business results, showcasing your technical expertise.

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How do you ensure quality in your team's work?

Explain your approach to maintaining high-quality standards within your team, including regular code reviews, encouraging best practices, and using metrics to assess the impact of projects. Discuss how you create an environment where quality is prioritized and valued.

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What key metrics do you focus on when evaluating project success?

Identify specific metrics you consider, such as ROI, user engagement, or transaction volume, depending on the project goals. Explain your rationale behind focusing on these metrics and how monitoring them helps to shape future strategies and project improvements.

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How do you balance urgency with thoroughness in data analysis?

Discuss your strategy for maintaining a balance between meeting deadlines and ensuring thorough analysis. Highlight examples where effective planning and resource allocation helped you deliver quality analysis on time, demonstrating both your speed and attention to detail.

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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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