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Senior Manager, Data Science - job 4 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

$140000 / YEARLY (est.)
min
max
$120000K
$160000K

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

If you're passionate about turning data into action and love to lead innovative teams, then the Senior Manager, Data Science position at Visa in Atlanta might be just what you’re looking for! At Visa, we are committed to ensuring that our payment technology is accessible to everyone, and our Global Data Science group plays a crucial role in this mission. With a wealth of data representing over 3 billion cards and 100 billion transactions annually, you’ll harness this unique resource to solve complex business challenges for our bank and merchant partners. As a Senior Manager, you'll lead a talented team of analysts, overseeing projects while mentoring and guiding their professional growth. Communication will be key as you work closely with both internal and external partners to address critical business questions. Your creativity will shine as you brainstorm innovative ways to leverage Visa's data to provide insights and solutions. You'll also have the chance to dive deep into data, develop custom algorithms, and create impactful visualizations that make complex analyses accessible to any audience. This is a hybrid role, making it ideal for those who appreciate flexibility while engaging in pivotal data-driven projects. If you're ready to lead and influence with data at one of the most recognizable brands in the world, Visa is the place to be!

Frequently Asked Questions (FAQs) for Senior Manager, Data Science Role at Visa
What responsibilities does a Senior Manager, Data Science at Visa have?

The Senior Manager, Data Science at Visa is responsible for leading a team of analysts to oversee various projects and ensure the efficient use of Visa's expansive data resources. This includes mentoring team members, working with partners to understand their business needs, and creatively applying data analysis to solve specific challenges. The role also involves developing custom data models, overseeing data quality, and driving strategic insights through effective visualizations.

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

To be a successful Senior Manager, Data Science at Visa, candidates typically need a strong educational background in data science, statistics, or a related field, along with significant experience in data analytics, team leadership, and project management. Familiarity with big data techniques, predictive modeling, and the ability to communicate complex data ideas effectively to a broad audience are also essential qualifications.

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

Essential skills for a Senior Manager, Data Science at Visa include strong analytical and problem-solving abilities, expertise in data mining and statistical techniques, and proficiency in developing visual data representations. Additionally, effective communication and interpersonal skills are vital for collaborating with diverse teams and addressing client challenges.

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How does the Senior Manager, Data Science at Visa contribute to client success?

The Senior Manager, Data Science contributes to client success by identifying and addressing their strategic business questions using deep insights derived from Visa's data. Through innovative analyses and custom solutions, they help clients optimize their operations, improve customer experiences, and ultimately drive revenue growth.

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What opportunities exist for career growth for a Senior Manager, Data Science at Visa?

As a Senior Manager, Data Science at Visa, numerous opportunities exist for career advancement due to the company's emphasis on professional development and mentorship. You would be able to gain exposure to various business functions within Visa, participate in innovative projects, and potentially move into higher leadership roles within the Global Data Science group.

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

When answering this question, provide specific examples of your team management experience, emphasizing successful projects and team growth. Highlight your leadership style, how you mentor team members, and how you foster a collaborative environment.

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What data mining techniques are you most comfortable with?

Discuss the data mining techniques you’ve used most frequently, such as clustering, classification, or regression. Prepare to share specific outcomes achieved through these techniques and how they benefited previous projects.

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How do you prioritize projects when managing a data science team?

Explain your approach to project prioritization based on business impact, urgency, and team capacity. Mention any tools or methods you use to help keep the team organized and focused on high-value tasks.

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Describe a time you used data to solve a significant problem.

Provide a detailed example of a problem you faced, how you approached it using data analysis, and the measurable results. This showcases your critical thinking and analytical skills in a practical situation.

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What strategies do you use to communicate complex data insights to non-technical stakeholders?

Share methods you have employed to translate complex data into clear visualizations or simple explanations, ensuring that stakeholders understand the implications of the data. Highlight your ability to tailor your communication style to your audience.

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How do you keep your team updated with the latest data science trends and tools?

Discuss your dedication to continuous learning and professional development, referencing resources you encourage your team to use, such as webinars, conferences, or online courses, ensuring they stay current in a rapidly evolving field.

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What experience do you have with predictive modeling?

Describe your hands-on experience with predictive modeling, such as types of models you’ve built, tools you’ve used, and how predictive insights influenced strategic decisions. Providing concrete outcomes is essential.

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How do you assess the accuracy of your data sources?

Illustrate your methodology for evaluating data accuracy, including techniques you’ve employed to validate data quality. This highlights your attention to detail and commitment to precision in data analysis.

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Can you share an example of a creative solution you developed using data?

Provide a specific example of a unique solution that resulted from innovative thinking in data application. Discuss the challenge, your creative approach, and the successful results achieved.

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What role does mentorship play in your leadership style?

Describe your philosophy on mentorship, emphasizing how you support team growth and development, facilitate learning opportunities, and empower your team to reach their potential.

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As a Senior Associate at American Express, you will lead innovative data strategies in a collaborative environment that directly impacts global payment solutions.

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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