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Senior Director, Data Science - job 35 of 41

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

As the Senior Director of Data Science at Visa in Atlanta, you'll be at the forefront of ensuring that our payment technology reaches everyone, everywhere. This role is pivotal because our Global Data Science group leverages a treasure trove of data from over 3 billion cards and 100 billion transactions annually, turning this wealth of information into actionable insights for our partners. You’ll lead a talented data science team dedicated to collaborating with key bank and merchant partners, delivering creative solutions that can transform their business strategies. Your responsibilities will include overseeing various projects, from conception through to completion, while managing relationships with offshore teams and data engineering units. In this hybrid position, we’re looking for someone with strong analytical skills who can build and manage a diverse team of data scientists. You will develop compelling predictive models and engage strategically with clients, guiding them through challenges and opportunities with your expertise. Communication is key in this role; you’ll need to convey complex analytical outcomes to diverse stakeholders clearly and effectively. Your executive presence and collaborative capabilities will shine as you foster partnerships across multiple functional areas, driving impactful projects in a matrixed environment. If you’re passionate about using data to make a difference, Visa offers you the right platform to showcase your leadership and innovation.

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

The Senior Director of Data Science at Visa is responsible for leading a team that supports issuers and merchants, overseeing project execution, and managing relationships with offshore vendors and Data Engineering. This role also involves proactive engagement with clients to discuss strategic initiatives while developing predictive models to guide business impact.

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What qualifications are needed to apply for the Senior Director of Data Science position at Visa?

Candidates for the Senior Director of Data Science position at Visa should possess strong analytical skills, experience in managing teams of data scientists, and an ability to synthesize large datasets for impactful business insights. Excellent communication and leadership capabilities in a collaborative environment are also essential.

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How does the Senior Director of Data Science collaborate with other teams at Visa?

Collaboration is a core component of the Senior Director of Data Science's role at Visa. This position works directly with peers across various functional areas, including marketing and analytics, to execute projects effectively, leveraging Visa's extensive resources to drive business results.

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What does the project management aspect involve for the Senior Director of Data Science at Visa?

In this role, project management involves overseeing 5 to 10 projects simultaneously, guiding them from conception to completion, while utilizing a skilled team of data professionals. The Senior Director will be responsible for performance tracking and prioritizing project roadmaps.

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Can you explain the importance of executive presence for the Senior Director of Data Science at Visa?

Executive presence is crucial for the Senior Director of Data Science at Visa as it encompasses the ability to communicate effectively with stakeholders at all levels, presenting complex data insights in an understandable manner. This skill helps in cultivating relationships and promoting strategic initiatives within the organization.

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Common Interview Questions for Senior Director, Data Science
How do you approach leading a data science team in a hybrid working environment?

In a hybrid environment, it's essential to prioritize clear communication, regular check-ins, and establishing solid workflows that embrace both remote and in-office team members. Building a culture of trust and collaboration will ensure projects remain on track and that everyone feels included.

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What data modeling techniques do you prefer for developing predictive models?

I favor using a combination of regression analysis, decision trees, and ensemble methods, as they are versatile and can effectively capture complex relationships in data. Tailoring models to fit the specific business context is also crucial for accuracy and relevance.

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Can you describe a successful project you led that significantly impacted business outcomes?

Sure! I once led a project where we developed a customer segmentation model that enabled targeted offers based on purchasing behavior. This project increased client sales by 20%, showcasing how data-driven insights can lead to strategic and profitable decisions.

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How do you ensure alignment with business stakeholders during a project?

I ensure alignment by involving stakeholders early in the project planning phase, conducting regular updates, and creating feedback loops. This keeps everyone informed and allows for adjustments based on stakeholder input, enhancing project success.

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What strategies do you use for managing offshore teams and ensuring productivity?

Effective communication tools, setting clear expectations, and regular check-ins are vital for managing offshore teams. Additionally, recognizing time zone differences and establishing flexible schedules help ensure productivity and cohesion across teams.

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How do you handle challenges or setbacks in data science projects?

I believe in adopting a solutions-oriented mindset. Analyzing the root causes of setbacks allows us to adapt our approach, whether that involves adjusting our data sources, re-evaluating our methods, or updating our timelines to match realities.

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What role does analytical rigor play in your decision-making process?

Analytical rigor is paramount in my decision-making process. I rely on data-driven insights to evaluate options critically, ensuring that decisions are not only supported by evidence but also consider potential outcomes and impacts.

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How do you stay current with the latest trends and technologies in data science?

I engage in continuous learning through attending industry conferences, participating in webinars, and following leading data science journals and blogs. Networking with peers also provides valuable insights into emerging trends and best practices.

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Describe your experience with creating effective data visualizations for non-technical stakeholders?

I focus on simplifying complex data into intuitive and visually appealing presentations, using tools like Tableau or Power BI. Choosing the right metrics and visual formats that resonate with non-technical stakeholders ensures the insights are both understandable and actionable.

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What do you consider when developing a strategic roadmap for data science projects?

When developing a strategic roadmap, I evaluate business goals, prioritize data needs, assess available resources, and set clear timelines. A well-structured roadmap should be adaptive to changes and reflect continuous stakeholder engagement for feedback.

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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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