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Senior Director, Data Science - job 24 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 take your Data Science career to the next level? Join Visa as a Senior Director of Data Science in Atlanta and be a key player in transforming how payment technology is utilized worldwide! As part of our Global Data Science group, you will leverage a vast array of data from over 3 billion cards and 100 billion transactions annually. Your role will be pivotal in guiding a talented team that supports issuers and merchants, helping them use our extensive datasets to solve meaningful business challenges. With the responsibility of leading projects from conception to completion, you'll utilize your strong analytical skills to create innovative solutions that have a direct impact on our partners' success. Collaborating closely with various internal teams, you will ensure strategic alignment and foster the development of predictive models that drive actionable business insights. You’ll also play a vital role in vendor management, project oversight, and team development in this hybrid position, ensuring a fulfilling career with a balance of in-office and remote work. If you're passionate about harnessing the power of data and leading a dedicated team to achieve exceptional results, Visa is the place for you!

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

The Senior Director, Data Science at Visa is responsible for leading a data science team that supports bank and merchant partners. This includes managing multiple projects simultaneously, overseeing team development, and collaborating with other functional areas to execute data-driven solutions. The role also encompasses vendor management and client engagement to ensure strategic planning aligns with Visa's objectives.

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

Candidates applying for the Senior Director, Data Science role at Visa should have strong analytical skills and a significant background in leading teams of data scientists. Experience with large data sets and the ability to develop predictive models is essential. Excellent communication skills and the capacity to manage complex stakeholder relationships are also vital for success in this role.

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How does Visa's Global Data Science team impact client relationships?

Visa's Global Data Science team plays a critical role in enhancing client relationships by providing valuable data-driven insights that help partners make informed business decisions. By leveraging Visa's extensive data sets, the team develops predictive models and solutions that directly cater to client needs, thereby strengthening collaboration and driving mutual success.

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What types of projects would a Senior Director, Data Science at Visa manage?

A Senior Director, Data Science at Visa would manage a variety of projects focusing on data analysis, predictive modeling, and client engagement. These projects may range from developing segmentation and propensity models to crafting tailored solutions that address specific business challenges for issuers and merchants, all while aligning with Visa's broader strategic goals.

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What is the expected work environment for the Senior Director, Data Science at Visa?

The Senior Director, Data Science position at Visa is hybrid, combining both in-office and remote work. This flexibility allows for a balanced lifestyle while fostering collaboration and innovation within the team, ensuring that you can effectively lead projects and engage with stakeholders in a manner that supports the company's objectives.

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

When discussing your experience managing a data science team, focus on your leadership style, the size of teams you've managed, and specific outcomes achieved under your oversight. Highlight any strategies you implemented for team development and how you facilitated collaboration on projects.

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What methods do you use to ensure data quality in your projects?

Explain the processes you follow to maintain data integrity, such as implementing data validation checks, conducting regular audits, and utilizing automated tools for data cleaning. Emphasize the importance of data quality in driving accurate predictive modeling.

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How do you approach stakeholder engagement in your data science projects?

Discuss how you proactively communicate with stakeholders, gather their requirements, and involve them through various stages of projects. Describe how you ensure alignment between data science initiatives and business objectives by addressing their specific needs.

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What experience do you have with developing predictive models?

Share specific examples of predictive models you have developed, the methodologies utilized, and the business impacts they generated. Highlight any challenges faced during the modeling process and how you overcame them.

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Can you provide an example of a challenging project you managed?

Describe a challenging data science project you led, outlining its objectives, the obstacles encountered, and how you successfully navigated those challenges. Focus on your problem-solving skills and your ability to lead a team through complexities.

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What tools and technologies do you prefer for data analysis?

List the analytical tools and programming languages you are proficient in, explaining why you prefer them for specific tasks. Discuss how you stay updated with the latest trends in data science technology.

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How do you balance multiple projects effectively?

Explain your time management techniques and organizational skills that help you juggle multiple projects simultaneously. Discuss how you prioritize tasks based on impact and urgency while keeping the team focused and aligned.

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What role does creativity play in your data science work?

Discuss how creativity is essential in developing innovative analytical solutions and models. Provide examples of how you have applied creative thinking to solve complex business problems in previous roles.

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How do you ensure team members are engaged and developing their skills?

Talk about the methods you use to encourage professional development among your team, such as regular feedback sessions, training opportunities, and fostering a supportive environment that encourages continuous learning.

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What is your leadership style when managing a diverse team?

Describe your leadership approach, emphasizing inclusivity and collaboration. Discuss how you adapt your style to accommodate diverse team members’ strengths, fostering an environment where everyone feels valued and can contribute to their fullest potential.

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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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