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Senior Director, Data Science - job 35 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

$175000 / YEARLY (est.)
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$150000K
$200000K

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

Are you ready to take on a pivotal role as the Senior Director of Data Science at Visa in Atlanta? In this dynamic position, you'll be at the forefront of utilizing Visa’s comprehensive data, which encompasses over 3 billion cards and more than 100 billion transactions annually. The Global Data Science group is committed to ensuring our bank and merchant partners thrive, and we need your expertise to lead a passionate team in crafting innovative solutions that drive substantial business results. Your primary responsibilities will include managing a talented group of data scientists as they collaborate with various teams across Visa. With a strong focus on building predictive models and engaging with clients, you'll have the opportunity to make significant impacts. Your leadership will be essential in overseeing multiple projects, guiding your team through the intricacies of data engineering, and managing influential relationships both offshore and within the organization. Communication is key, and your ability to effectively convey complex ideas will resonate across all levels at Visa. If you’re excited about leveraging data to solve important business challenges and cultivating partnerships that help shape the future of payments, then this Senior Director position at Visa is the perfect match for you. Join us in creating opportunities for everyone, everywhere!

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

The Senior Director, Data Science at Visa is responsible for leading a data science team dedicated to supporting issuers or merchants. You'll oversee project management, coach team members, and handle vendor relationships. Additionally, you will manage multiple projects from conception to completion, develop predictive models, and engage with clients to foster strategic discussions, ensuring that Visa's data solutions effectively address business challenges.

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

To be a successful candidate for the Senior Director, Data Science role at Visa, you should have extensive experience managing teams of data scientists, strong analytical skills, and the ability to work with large datasets. Excellent communication skills are crucial, along with demonstrated leadership capabilities and experience in project management. A background in data engineering and the ability to engage with clients at strategic levels will also be beneficial.

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How does the Senior Director, Data Science role at Visa contribute to business impact?

In the Senior Director, Data Science position at Visa, you will develop and implement predictive models that drive measurable business impact. By identifying key opportunities and challenges using Visa's rich dataset, your role ensures that solutions are tailored to meet the needs of clients, ultimately enhancing their performance and the overall efficiency of Visa’s operations.

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

A Senior Director, Data Science at Visa will manage 5 to 10 projects simultaneously, focusing on diverse areas such as propensity modeling, segmentation analysis, and client engagement strategies. Each project aims to leverage data insights for real-world applications that support Visa's partners, enhancing their capabilities and driving revenue.

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

Visa offers a hybrid working environment for the Senior Director, Data Science position, allowing flexibility in working from home and collaborating in the office. This structure supports a collaborative culture while enabling you to manage your responsibilities effectively. The specifics regarding office attendance will be confirmed by your Hiring Manager.

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Common Interview Questions for Senior Director, Data Science
Can you describe your experience managing teams of data scientists?

In your response, highlight any leadership roles you've held, the size of the teams you've managed, and the projects you've overseen. Discuss how you foster collaboration, develop talent within your team, and monitor performance, ensuring that your answers reflect your ability to cultivate a productive team environment.

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How do you approach developing predictive models?

Share your step-by-step process for building predictive models, including the methodologies and tools you prefer. Emphasize your experience with different types of data, your analysis techniques, and how you validate and implement these models to meet business needs.

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What strategies do you use to engage with clients?

Discuss your approach to client engagement, emphasizing how you build relationships, assess client needs, and provide data-driven insights. Mention any specific communication techniques or tools you use that contribute to effective collaboration and understanding.

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How do you ensure your projects align with business objectives?

Explain your methods for aligning data science projects with broader business goals. This might include regular strategy meetings with stakeholders, setting KPIs for success, and adapting project scopes based on ongoing feedback from leadership and client teams.

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Can you give an example of a project that had a significant business impact?

Prepare a case study that illustrates your role in a specific project, the challenges you faced, how you overcame them, and the ultimate results. Focus on quantifiable outcomes that showcase your ability to deliver impactful solutions.

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What experience do you have with data engineering?

Discuss any relevant experience you have in data engineering, including working with data pipelines, ETL processes, and collaboration with data engineering teams. Your answer should reflect your understanding of the importance of clean, accessible data in driving successful analytics.

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How do you manage project timelines and budgets?

Describe your approach to project management, including how you prioritize tasks, allocate resources effectively, and monitor project budgets. Provide examples of tools you use to track progress and ensure on-time and on-budget delivery.

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What is your understanding of Visa's data ecosystem?

Familiarize yourself with Visa's data landscape before the interview. Discuss your knowledge about the scale of Visa's data, its various applications, and how it can be leveraged for strategic decision-making by clients. Highlight any relevant experience in working with similar scales of data.

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How do you develop and maintain relationships with offshore partners?

Explain your strategies for managing remote teams or offshore partners. Discuss the importance of clear communication, establishing shared goals, and leveraging technology to maintain collaboration and efficiency.

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What role does communication play in data science leadership?

Emphasize the critical role of effective communication in leading a data science team. Discuss how clear communication fosters understanding of complex data solutions among non-technical stakeholders and aligns team efforts with organizational objectives.

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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 12, 2025

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