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Senior Manager, Data Science - job 2 of 7

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 outstandingly rich data set that spans more than 3 billion cards globally and collects 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 Senior Managers who are equally passionate about the opportunity to use Visa’s rich data to solve meaningful business problems. You will join one of the Data Science focus areas supporting an internal product and/or function at Visa, with a rotational opportunity within Data Science to gain broad exposure to Visa’s business.

Essential Functions

  • Lead a team of analysts within Global Data Science, including project oversight, mentoring, and professional development

  • Work with internal and external partners to understand their strategic business questions and lead project scoping and design to answer those questions by using Visa’s data

  • Be an out-of-the-box problem solver who is passionate about brainstorming innovative ways to use our unique data to answer business problems

  • Connect with clients to understand the challenges they face and convince them with data

  • Extract and understand data to form an opinion on how to best help our clients and derive relevant insights

  • Develop visualizations to provide sophisticated analyses accessible to a broad audience

  • Find opportunities to craft products out of analyses that are suitable for multiple clients

  • Use big data and cutting-edge data mining techniques, provide thought leadership in analytic techniques and business applications to unlock the value of Visa’s unique data set

  • Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners

  • Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients

  • Assess the efficiency and accuracy of new data sources and data gathering techniques

  • Develop custom data models and algorithms to apply to data sets

  • Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting, and other business outcomes

  • Develop processes and tools to supervise and analyze model performance and data accuracy

  • Broad knowledge across the entire data science lifecycle, including data engineering, statistics and governance

  • Provide mentorship in modern analytic techniques in keeping with market trends, client needs and emerging techniques

  • Coordinate and lead multiple data science projects with diverse multi-functional partners

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

 

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

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 Manager, Data Science , Visa

At Visa, we believe that our payment technology should be accessible to everyone, everywhere, and as a Senior Manager in Data Science based in Atlanta, you will play a crucial role in making that a reality. You will lead a talented team of analysts within our Global Data Science group, harnessing the power of our vast data set that includes over 3 billion cards worldwide and processes more than 100 billion transactions every year. Your ability to think creatively will be paramount as you work alongside internal and external partners to tackle their strategic business questions. You’ll be at the forefront of using Visa's unique data to develop innovative solutions that have a direct impact on our partners’ businesses. This position offers you the opportunity to engage with clients, understand their challenges, and use data to drive your insights, which could even lead to new product innovations. You’ll also have the chance to coordinate multiple data science projects with diverse teams, applying cutting-edge techniques to unlock valuable insights. This is a hybrid role, meaning you can blend in-office collaboration with remote work to suit your lifestyle. If you are excited about mentoring others in analytics and creating more efficient ways to handle data, we can’t wait for you to join our team at Visa and make a real difference in the world of payment technology!

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

A Senior Manager in Data Science at Visa has a wide array of responsibilities, primarily focused on leading a team of analysts, overseeing projects, and ensuring the mentorship and professional development of team members. You’ll be tasked with collaborating with internal and external partners to understand their business challenges and create data-driven solutions that have real impact. Engaging in innovative problem-solving using big data techniques and crafting insightful visualizations are also key duties in this role.

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What qualifications are needed for the Senior Manager, Data Science position at Visa?

To be successful in the Senior Manager, Data Science role at Visa, candidates typically need extensive experience in data science, including a strong background in statistics, data mining, and predictive modeling. A relevant advanced degree in statistics, mathematics, computer science, or a related field is often required, along with proven leadership experience in managing teams and projects. Familiarity with data engineering practices and visualization tools is also essential.

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How does the Senior Manager, Data Science at Visa contribute to customer experiences?

In the Senior Manager, Data Science position at Visa, you contribute to enhancing customer experiences through predictive modeling and data analysis. By utilizing Visa’s rich datasets, you can identify trends and insights that help optimize customer interactions, generate revenue, and improve advertising efforts. Your work directly influences the strategies that shape customer experiences across multiple touchpoints.

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What is the work culture like for a Senior Manager, Data Science at Visa?

The work culture at Visa for a Senior Manager in Data Science is collaborative and innovative. You’ll be part of a diverse team that thrives on problem-solving and sharing creative ideas. Visa values mentorship and encourages ongoing professional development, allowing you to connect with various groups within the organization and leading projects that drive both personal growth and business outcomes.

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What types of projects can a Senior Manager, Data Science expect to lead at Visa?

As a Senior Manager in Data Science at Visa, you will lead projects that range from developing custom data models to analyzing business strategies and optimizing marketing techniques. You may work on initiatives such as creating new product offerings based on insights derived from customer data, as well as leading efforts that leverage big data analytics to solve complex business challenges for Visa’s partners.

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Common Interview Questions for Senior Manager, Data Science
Can you explain your approach to leading a data science team as a Senior Manager?

When leading a data science team, I prioritize fostering an environment of collaboration and open communication. I believe in mentoring my team members to enhance their skills and encouraging innovative problem-solving. Establishing clear goals for data projects and providing the necessary resources makes a significant difference in efficiency. I also value regular check-ins to assess progress and offer support where needed.

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What techniques do you use to ensure data accuracy and model performance?

To ensure data accuracy and model performance, I employ a combination of rigorous data validation techniques, regular audits, and performance metrics tracking. This involves using statistical methods to check data integrity before analysis and implementing workflows that allow for continuous monitoring of models to identify any anomalies quickly. Documenting processes also plays a pivotal role in ensuring repeatability and transparency.

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How do you handle project scoping and design in Data Science?

When scoping and designing a project in Data Science, I begin by collaborating closely with stakeholders to thoroughly understand the problem at hand. I focus on defining the objectives, determining the data requirements, and establishing a timeline. I strive to involve the data scientists in brainstorming sessions to leverage diverse insights, which helps in crafting a robust project framework.

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Describe your experience with predictive modeling.

I have extensive experience with predictive modeling, using it for various business applications ranging from customer segmentation to demand forecasting. I utilize techniques such as regression analysis, decision trees, and ensemble methods to build models that provide actionable insights. I focus on ensuring these models are interpretable for stakeholders so they can understand the implications and use the findings effectively.

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What role does visualization play in your data analysis process?

Visualization is a critical aspect of my data analysis process. It allows me to translate complex data insights into accessible formats for different audiences. I often use tools like Tableau or Power BI to create dashboards that present key metrics, trends, and recommendations clearly. Effective visualization encourages engagement and helps drive impactful decision-making by making data easier to understand.

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Can you provide an example of a successful project you led?

One successful project I led involved optimizing marketing strategies for a client by analyzing customer behavior data. I coordinated a cross-functional team to extract insights from past transactions and created a model predicting which customers were likely to engage with new products. The insights we gained increased the campaign's response rate by over 30%, showcasing the power of data-driven decision-making.

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How do you stay updated with emerging data science techniques?

I stay updated with emerging data science techniques through continuous learning and professional networking. I regularly participate in online courses and webinars, attend conferences, and read industry publications. I also find value in engaging with professional communities where practitioners share their experiences and insights about new tools and techniques in the field.

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What challenges do you foresee in the role of Senior Manager, Data Science, and how would you address them?

One potential challenge is navigating the complexities of data privacy and compliance while making innovative data-driven decisions. To address this, I would proactively ensure that my team is well-versed in best practices for data governance. Furthermore, promoting a culture of ethical data usage across the team is crucial to minimizing risks associated with emerging regulations.

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How do you approach mentoring junior data scientists?

I approach mentoring junior data scientists by creating an environment where they feel supported and encouraged to explore their potential. This includes offering regular feedback, sharing resources, and guiding them through challenging projects. I believe that mentorship is about fostering independence while providing a safety net for them to learn and grow in their roles.

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Why do you want to work as a Senior Manager in Data Science at Visa?

I am excited about the opportunity to work at Visa as a Senior Manager in Data Science because of Visa's commitment to leveraging data for meaningful business impact. I admire the innovative projects Visa undertakes and the culture of collaboration that promotes professional growth. Contributing to solutions that enhance payment technology access aligns perfectly with my passion for creating value through data.

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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 2, 2025

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