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Senior Director, Data Science - job 43 of 43

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

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.

Qualifications

Basic Qualifications:

  • 12 or more years of work experience with a Bachelor’s Degree or at least 10 years of work experience with an Advanced degree (e.g. Masters/MBA /JD/MD), or a minimum of 5 years of work experience with a PhD


Preferred Qualifications:

  • 15 or more years of experience with a Bachelor’s Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience
  • 4+ years of experience applying data science to solve problems for issuers, acquirers, processors, or merchants
  • 3+ years of experience leading 3+ data scientists in machine learning projects
  • Recent experience working with and presenting to clients, such as issuers, acquirers, processors, or merchants
  • Recent experience coordinating offshore relationships and Data Engineering activities
  • Expertise with modern distributed systems, including both Hadoop/SQL and Apache Spark
  • Expertise with one or more data analytics/programming tools such as R/Python
  • Expertise in the application of predictive modeling and machine learning techniques
  • 5+ years of working in payments industry (bank, credit union, Fintech) or management-consulting firm
  • Demonstrated knowledge of software development, MLOps or data product development
  • Excellent communication, storytelling, and presentation skills

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 182,900.00 to 265,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Average salary estimate

$224200 / YEARLY (est.)
min
max
$182900K
$265500K

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 Director, Data Science, Visa

Join Visa as a Senior Director of Data Science in Atlanta, GA, where you will be at the forefront of financial innovation! At Visa, we believe in the power of data to drive meaningful solutions for our partners and clients. In this pivotal role, you'll lead a talented team of data scientists as we tackle complex challenges using Visa's wealth of payment data. Your main responsibility will be overseeing projects that span from conception to execution while mentoring your team and supporting their professional growth. With your strong analytical skills, you'll do more than just analyze data; you'll develop predictive models that offer insights and tangible business impact. As you manage several critical projects simultaneously, collaboration will be key—partnering with other departments such as marketing, analytics, and risk is essential to our mission. You'll also engage directly with clients to strategize and cultivate exciting opportunities for innovation. If you have the leadership and communication skills to thrive in a matrixed organization, coupled with over a decade of experience in data science, particularly in the payments industry, this is the role for you. With the freedom to work in a hybrid environment, you can shape an impactful career while enjoying the flexibility you need. Ready to make a difference? Join Visa and be a part of our vision to uplift everyone, everywhere through the best way to pay and be paid.

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

As a Senior Director, Data Science at Visa, your responsibilities will include leading a team of data scientists, managing multiple projects simultaneously, and developing predictive models that generate business impact. You'll also engage with clients, manage offshore vendor relations, and collaborate with various internal teams to execute projects effectively. Your role will be crucial in leveraging Visa's vast data resources to provide innovative solutions.

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

To qualify for the Senior Director, Data Science role at Visa, candidates should have 12 or more years of experience with a Bachelor's Degree, or 10 years with an advanced degree, and a minimum of 5 years with a PhD. Preferred qualifications include over 15 years of experience, leadership in data science projects, and expertise with predictive modeling techniques within the payments industry.

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What experience is preferred for a Senior Director, Data Science at Visa?

Preferred candidates for the Senior Director, Data Science role at Visa will have extensive experience applying data science in the financial sector, especially with issuers, acquirers, and merchants. You'll need to demonstrate strong leadership in managing data science teams and showcase your ability to communicate analytical insights effectively to clients and stakeholders.

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

Collaboration is key for the Senior Director, Data Science at Visa. You'll work alongside teams in marketing, analytics, risk, and innovation, ensuring that data-driven solutions address the most significant business challenges. This role requires excellent communication skills to bridge the gap between technical insights and business needs.

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

The working environment for a Senior Director, Data Science at Visa is hybrid, allowing for flexibility in where you work. You'll find yourself in a collaborative office setting, engaging with team members and stakeholders, while having the autonomy to manage your workload efficiently. Travel may be required occasionally, providing opportunities to connect with clients and partners.

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Common Interview Questions for Senior Director, Data Science
What motivates you to lead a data science team at Visa?

In leading a data science team at Visa, I'm motivated by the opportunity to use data to create meaningful solutions that drive business impact. I thrive in mentoring team members and fostering a collaborative environment to achieve innovative outcomes.

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Can you describe a successful data science project you've managed?

Absolutely! One project involved developing a predictive model that increased client engagement for a key partner. By leveraging large datasets and utilizing machine learning techniques, we achieved a significant uplift in performance metrics, demonstrating the power of data-driven decisions.

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How do you prioritize multiple data science projects?

I prioritize projects through effective communication and collaboration with stakeholders to understand business needs better. I utilize project management frameworks and consider potential impact to establish a robust prioritization strategy.

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What methods do you use to ensure effective collaboration with non-technical teams?

To foster collaboration with non-technical teams, I emphasize clear communication and storytelling. I find it essential to translate complex data insights into actionable recommendations that align with organizational goals, helping bridge the gap between data science and business objectives.

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How do you approach building predictive models?

Building predictive models starts with understanding the business question at hand. I leverage data exploration, apply appropriate machine learning techniques, and continuously validate the models to ensure accuracy and relevance to the business context.

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What is your experience with programming languages like Python or R in data science?

I have extensive experience using R and Python for data analysis and model development. I prefer to choose the language that best fits the context and complexity of the analysis needed, ensuring I'm utilizing the most effective tools for the job.

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How do you keep up to date with the latest trends in data science?

I stay updated with the latest trends in data science by attending industry conferences, participating in webinars, and engaging in online forums. Continuous learning is vital in this field, and I actively seek out resources to enhance my skills.

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Can you give an example of how you've used data to influence business decisions?

Certainly! In a previous role, I analyzed user behavior data to identify patterns that led to increased churn rates. My findings helped the leadership team develop targeted retention strategies that resulted in a significant decrease in churn, showcasing the power of data in strategic planning.

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How would you handle a disagreement within your team about a project direction?

Handling disagreements constructively is crucial. I encourage open dialogue, promote a culture of respect, and seek consensus by focusing on data-driven arguments. If needed, I may involve an impartial party to facilitate discussions.

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What do you believe are the key traits of a successful data science leader?

A successful data science leader should possess a blend of technical expertise, strong analytical skills, and effective interpersonal abilities. It's essential to inspire and motivate the team while effectively communicating complex ideas to stakeholders across 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 11, 2025

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