Director, Internal AI & Data Science - job 32 of 39

The Director of Internal AI & Data Science at Visa will have a range of responsibilities, including overseeing the design and development of data science systems, leading a team of data scientists, and driving innovations that enhance the use of data across the organization. This role also involves developing flexible data models for integrating external and internal data sources and transforming these into valuable insights to drive business impact.

To qualify for the Director of Internal AI & Data Science role at Visa, candidates should have extensive experience in managing data science teams, a strong grasp of programming languages like Python and R, and expertise in AI and machine learning techniques. A background in developing data strategies that align with business objectives, along with excellent communication skills to relay complex data concepts to stakeholders, is also crucial.

The Director of Internal AI & Data Science contributes to Visa's growth by harnessing the power of data to drive informed business decisions. By developing advanced data science capabilities and models, this role will help in understanding how Visa technologies are used in transactions, ultimately enriching the customer experience and identifying new market opportunities.

The work environment for a Director of Internal AI & Data Science at Visa is hybrid, requiring a balance of in-office collaboration and remote work. This setting fosters a culture of innovation and collaboration, allowing you to engage with cross-functional teams while also adapting to the demands of a fast-paced tech landscape.

The Director of Internal AI & Data Science at Visa will lead a diverse team of talented data scientists, encouraging them to experiment and innovate. This leadership role involves mentoring and providing guidance to ensure high-quality deliverables, while fostering a culture of continuous learning and collaboration within the team.

When answering this question, focus on your previous leadership roles, the size and diversity of the teams you've managed, and specific projects that highlight your ability to drive innovation and collaboration. Emphasize your approach to mentoring and how you've helped team members grow their skills.

Outline a specific project that demonstrates your skills in project management, technical leadership, and strategic alignment with business goals. Discuss the problem, your approach, the technologies used, and the positive impact the project had on the organization.

Explain your commitment to ongoing education, such as participating in workshops, attending conferences, or following industry publications. Highlight any specific resources or networks you rely on to stay informed about advancements in AI and data technologies.

Discuss the frameworks and validation techniques you use to manage data quality. Mention specific tools or methodologies you've implemented in previous roles to ensure that the data collected is accurate, relevant, and reliable.

Outline a structured approach to integrating external data, including assessment of data relevance, compatibility, and sourcing logistics. Emphasize collaboration with cross-functional teams to ensure seamless integration and alignment with business objectives.

Share your strategic outlook by discussing potential advancements in data science and AI technologies, and how you envision these developments enhancing Visa’s business operations and customer experience.

Empathize with the challenges non-technical stakeholders face and explain your methods for simplifying complex concepts. Use examples of successful presentations or reports that effectively communicated insights and influenced decision-making.

Describe specific initiatives or programs you've implemented to encourage creativity and experimentation among team members. Highlight the importance of a supportive environment that allows for trial and error in exploring new ideas.

List out the programming languages you are proficient in, such as Python, R, and frameworks like TensorFlow or PyTorch. Discuss how you’ve leveraged these tools effectively in your past projects to achieve impactful outcomes.

Articulate the importance of this role in leveraging data to inform business strategies, improve operational efficiency, and enhance customer experiences. Highlight your belief in data as a crucial asset for driving Visa’s future growth and positioning the company as a leader in the industry.