Director, Internal AI & Data Science - job 3 of 39

The Director, Internal AI & Data Science at Visa leads a team of data scientists responsible for developing AI-driven products and services. Key responsibilities include designing and implementing large-scale data science systems, integrating structured and unstructured data, and fostering a culture of collaboration and continuous learning. They leverage advanced data science techniques to understand payment technologies better, ensuring that Visa remains at the forefront of innovation.

Candidates for the Director, Internal AI & Data Science role at Visa should possess extensive experience in data science and AI/ML practices, as well as proficiency in programming languages like Python and R. A strong understanding of data integration techniques and advanced modeling methods is essential. Leadership experience and the ability to mentor others are also important, as this role involves managing teams and driving strategic initiatives.

Collaboration is a cornerstone of the Director, Internal AI & Data Science role at Visa. This position requires working closely with cross-functional teams to integrate data science capabilities into ongoing business strategies. Effective communication of complex technical concepts to stakeholders is vital, as it influences decision-making and enhances understanding across various departments within Visa.

At Visa, the Director, Internal AI & Data Science will spearhead projects that focus on creating and enriching internal data sets using AI and machine learning techniques. They will lead initiatives that involve transforming diverse data into actionable insights and intelligent tags, making significant contributions to Visa’s overall data capabilities and ensuring that they align with business objectives.

The working environment for the Director, Internal AI & Data Science at Visa in Atlanta is designed to promote collaboration and innovation while allowing for hybrid flexibility. This role expects some in-office presence, which fosters teamwork and engagement among peers, while still accommodating remote work preferences. It’s a dynamic space where data-driven insights shape the future of payment technology.

When answering this question, focus on your specific hands-on experiences with various AI and ML projects. Discuss the technologies you have used, such as TensorFlow or PyTorch, and how you've applied them to real-world problems. Relate your experience back to how these skills can help Visa innovate in their data science capabilities.

Show the interviewer your dedication by discussing conferences you attend, journals you read, or online communities you engage with. Mention specific resources that keep you informed on advancements in AI and data science tools. Linking this knowledge to how it can benefit Visa's objectives will demonstrate your proactive approach.

Detail your management style, focusing on fostering an environment of collaboration and continuous learning. Discuss techniques for mentoring team members, such as regular feedback and opportunities for peer learning. Highlight how this approach can improve the quality of deliverables and team morale at Visa.

Prepare a concise but compelling story that explains the challenge, the approach taken, and the results achieved. Ensure that your example highlights your technical skills and your ability to drive business impact through intelligent data utilization—crucial aspects for the Director role at Visa.

Discuss your plan for data integration clearly, focusing on how to merge structured and unstructured data. Highlight methodologies and tools you'll use, establishing your solid understanding of these processes. Also, emphasize how enhancing data strategies aligns with Visa's business goals.

Your response should reflect a vision that includes advancements in AI, real-time data processing, and enhanced security measures. Discuss the potential impact of these developments on customer experience and corporate strategies. This shows your forward-thinking mindset crucial for the Director position at Visa.

Share specific instances where cross-functional collaboration was essential to the success of a data science project you've led. Emphasize how you communicated technical concepts to non-technical stakeholders and the resultant impact on the project's outcomes, which is particularly relevant for the role at Visa.

Describe your organizational strategies, such as using project management tools or frameworks (like Agile) that help in scheduling and prioritization. Stress the importance of aligning tasks with business goals, which is vital for maintaining focus in the role of Director at Visa.

Relate this to a specific scenario where your insights led to significant changes at your organization. Emphasize the data analysis process, how you presented your findings effectively, and the positive outcome for the business, showcasing your ability as a leader at Visa who can drive data-driven decisions.

Use this question to highlight not just your technical skills but also your leadership style, problem-solving abilities, and your passion for data science. Discuss how these qualities specifically align with and can advance Visa’s goals and culture, making you the ideal candidate for the position.