Director, Product Management - Personalization - job 12 of 20

The Director of Product Management - Personalization at Visa is responsible for leading the development and execution of AI/ML products focused on personalization. This includes collaborating with cross-functional teams to conceive and refine product features, managing the product lifecycle, and driving initiatives that link consumers to tailored products and services in the payments ecosystem. You'll also work closely with the Chief Data Officer and ensure alignment with company-wide data strategies.

To excel as the Director of Product Management - Personalization at Visa, candidates typically need a robust background in product management, especially in AI or machine learning fields. A proven track record of successfully launching AI-driven products, coupled with strong leadership and project management skills, is essential. Additionally, a deep understanding of the payments landscape and a commitment to responsible data use will set you apart.

The Director of Product Management - Personalization role at Visa offers a hybrid work model, which means you’ll spend a mix of time working in the office and remotely. The exact number of days in the office will be confirmed by your hiring manager, allowing for flexibility while maintaining collaborative efforts amongst your team.

Visa is committed to responsible data use as part of its core values and operations. As the Director of Product Management - Personalization, you'll play a key role in this commitment by developing personalized products that respect consumer privacy and preferences. Collaborating with the Chief Privacy Officer and technology teams ensures that all data-related projects adhere to stringent policies and guidelines.

In the role of Director of Product Management - Personalization at Visa, you may face challenges such as aligning product goals with evolving consumer needs, ensuring that personalization efforts are effectively communicated and implemented, and balancing innovation with privacy and ethical considerations. Overcoming these challenges requires a deep understanding of both the technical and human aspects of product development.

When answering this question, focus on any specific projects or products you've managed that involved AI/ML. Highlight your role in the product lifecycle, your understanding of AI technologies, and the impact of your work on customer experience or business outcomes.

Discuss techniques such as regular team check-ins, fostering open communication, and using project management tools. Emphasize the importance of building relationships and understanding the strengths of team members from different departments.

Explain your methods for gathering user feedback, such as surveys, interviews, or analytics. Share examples of how you’ve utilized this feedback to make informed decisions and refine product features.

Select a specific product launch where you can quantify the outcomes, such as increased user engagement, revenue growth, or improved customer satisfaction. Discuss your role in the launch and how you measured its success.

Describe a methodical approach to prioritization, such as using a scoring system based on factors like user needs, business goals, and resource availability. Provide an example if applicable.

Stay informed on current trends and discuss how they influence product development. Emphasize trends like ethical AI use, consumer privacy, and the growing demand for personalized experiences.

Address this by highlighting your communication skills, ability to facilitate discussions, and how you strive to find common ground. Give an example where you successfully managed conflicting priorities.

Discuss your reliance on data analytics to inform product decisions, focusing on how you interpret data to understand user behavior and market trends to inform your strategies.

Outline specific key performance indicators (KPIs) you monitor, such as user retention, satisfaction, and engagement metrics. Discuss how you analyze this data to inform future iterations.

Share your enthusiasm for Visa’s mission and passion for data-driven solutions. Discuss how your background aligns with Visa’s values and how you see yourself contributing to the company's success.