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Senior Manager, Data Science - job 1 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

As a Senior Manager, Data Science at Visa in Atlanta, you will be on the forefront of innovation, leveraging one of the world’s largest data sets to fully support Visa's critical partners and internal teams. Your role is pivotal in driving impactful solutions using our expansive database, which encompasses over 3 billion cards and more than 100 billion transactions annually. In this position, you will lead and mentor a talented team of analysts, focusing on creative problem-solving to address our partners’ strategic questions. You’ll dive deep into data to extract insights that not only aid our clients but also enhance their business strategies. Collaboration is key here; you will work closely with both internal and external stakeholders, ensuring that your team's analytical expertise translates into actionable business strategies. You will have the opportunity to develop custom models and algorithms, creating visualizations that communicate complex analyses simply and effectively. Your leadership will be crucial in identifying new opportunities to craft products from data insights that cater to multiple clients. With your expertise in predictive modeling and data mining techniques, you will unlock the full potential of Visa’s unique dataset while driving enhancements to customer experience and revenue generation. This is a hybrid role, giving you the flexibility to balance your work between home and our vibrant office environment, fostering professional growth and innovative thinking alongside market trends and emerging techniques.

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?

As a Senior Manager, Data Science at Visa, your primary responsibilities include leading a team of analysts, mentoring staff, and overseeing multiple data science projects. You will engage with partners to understand their business needs, utilizing Visa’s vast data sets to derive insights and strategies. You will also be responsible for developing custom data models and visualizations, ensuring that analyses are accessible and impactful, while continuously assessing the efficiency of new data sources and techniques.

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

To qualify for the Senior Manager, Data Science role at Visa, candidates should possess a strong background in data science methodologies, data engineering, and statistical analysis. An advanced degree in a related field is often preferred, along with substantial experience in leading teams and managing data projects. Familiarity with predictive modeling techniques and the ability to communicate complex concepts effectively are also essential for this role.

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How does the hybrid work model work for the Senior Manager, Data Science role at Visa?

In the Senior Manager, Data Science position at Visa, the hybrid work model offers you flexibility in balancing your time between the office and working remotely. Specific expectations regarding in-office days will be confirmed by your hiring manager, allowing for adjustments based on team needs and individual circumstances. This model promotes a work-life balance while still encouraging collaboration and team engagement.

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What skills are essential for a Senior Manager, Data Science at Visa?

A successful Senior Manager, Data Science at Visa should have strong leadership and analytical skills, with a knack for problem-solving. Essential skills include expertise in data mining, predictive modeling, and data visualization. You must also be adept at understanding business challenges and translating them into data-driven solutions, alongside strong communication skills to effectively engage stakeholders.

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What impact can I expect to have as a Senior Manager, Data Science at Visa?

In the role of Senior Manager, Data Science at Visa, you will play a crucial role in driving business decisions through data insights. Your work will directly influence how Visa’s partners leverage data for optimization, revenue generation, and customer engagement. By leading innovative projects and crafting relevant data products, you'll contribute to significant advancements in Visa's strategy and client relationships.

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

When answering this question, focus on specific examples where you successfully managed a team, highlighting your leadership style, the challenges you faced, and the results achieved. Discuss how you foster collaboration and professional growth within your team.

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How do you approach problem-solving when analyzing complex data sets?

In your response, detail your methodology for breaking down complex data challenges. Emphasize your analytical thinking, creativity, and any relevant tools or techniques you employ to extract meaningful insights from data.

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What experience do you have with predictive modeling?

When discussing your predictive modeling experience, provide examples of models you have developed, the data sets used, and the outcomes achieved. Mention any statistical techniques or tools you are familiar with and how they contributed to your success.

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How do you ensure data accuracy in your analyses?

You can answer this by describing the processes you implement to verify data quality, such as validation techniques or the use of specific tools. Highlight the importance of accurate data for deriving actionable business insights.

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Can you give an example of a project where your data insights led to significant business improvements?

Share a specific project where your analysis led to measurable business outcomes. Mention the context, your approach, the data used, and what changes were implemented as a result of your insights.

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How do you communicate complex data findings to non-technical stakeholders?

In your response, emphasize the importance of clear communication and understanding your audience. Discuss your strategies for simplifying complex concepts, such as using visualizations or storytelling techniques that make data relatable.

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What analytical tools are you proficient in, and how have you used them?

You'll want to outline your proficiency in specific analytical tools, such as Python, R, or Tableau. Provide examples of how you've utilized these tools in past projects and the value they brought to your analyses.

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Have you ever faced a setback in a data project? How did you handle it?

Discuss a particular setback you encountered, focusing on your problem-solving and resilience. Highlight what you learned from the experience and how you adapted to overcome the challenge.

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What strategies do you use for mentoring junior analysts?

When answering, consider discussing your approach to mentorship, including how you provide support, feedback, and opportunities for growth. Share any success stories of junior analysts you’ve mentored.

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

Tailor your response to reflect your admiration for Visa’s commitment to innovation and its impactful use of data. Discuss how your skills align with their mission and how you see your role contributing positively to the organization.

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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 3, 2025

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