Product Manager, Identity Graph & NGFS - job 11 of 20

The Product Manager for Identity Graph & NGFS at Visa is tasked with managing requirements definition, prioritizing features, and coordinating technology development and integration. They work with diverse stakeholders, including engineering teams and external vendors, to ensure alignment and successful implementation. In addition, they explore emerging graph algorithms and collaborate with fellow product managers to develop business cases and revenue forecasts.

The ideal candidate for the Product Manager role at Visa should possess strong analytical skills and experience working with data, particularly in the realm of identity and fraud detection. A background in technology product management is highly desirable, alongside familiarity with machine learning and artificial intelligence. Excellent communication skills are essential, as the role involves collaboration with various teams across global regions.

The Product Manager plays a crucial role in identity-enabled fraud detection by leveraging Visa’s comprehensive datasets, combining internal and external data to create a 360-degree view of individuals. They collaborate with technical teams to develop product capabilities that enhance fraud detection, ensuring that the tools built can adapt to new threats in a dynamic market.

As a hybrid position, the Product Manager for Identity Graph & NGFS at Visa can expect a flexible work environment that combines both remote and in-office work. The exact expectation for days in the office will be determined by the hiring manager, ensuring a balance that supports collaboration and productivity among team members.

Essential skills for the Product Manager position at Visa include strong analytical and critical thinking abilities, effective communication skills tailored to various audiences, and familiarity with product management methodologies. Additionally, knowledge of graph algorithms, data cleansing, and standardization processes is beneficial for this role.

When discussing your experience with data analysis, be specific about the tools and methodologies you've used. Share examples where your analytical skills contributed to product development or decision-making, demonstrating your ability to leverage data for strategic insights.

To effectively answer this question, discuss your approach to gathering stakeholder input, assessing market needs, and analyzing potential impact versus effort. Highlight your use of frameworks like the MoSCoW method or Value vs. Effort Matrix to illustrate your strategic thinking.

Explain your methods for user research, including surveys, user interviews, and data analytics. Emphasize the importance of empathy and iterative feedback loops in developing insights that inform product features and enhancements.

Discuss your approach to conflict resolution by focusing on open communication and prioritizing the overall product goals. Provide an example from your experience where you successfully aligned stakeholders to reach a consensus.

Share a specific example where you applied machine learning or AI to enhance a product. Discuss the problem you were solving, the outcome achieved, and any challenges you faced during the implementation process.

Provide a comprehensive overview of current challenges in fraud detection, such as the rise of sophisticated fraud techniques and the need for real-time detection. Discuss your thoughts on how technology like AI can mitigate these challenges.

Illustrate your collaborative techniques, emphasizing open communication, regular check-ins, and using collaborative tools to ensure alignment. Share a specific scenario where your collaboration led to successful product outcomes.

Discuss relevant industry trends such as increased regulatory scrutiny, advancements in data analytics, and the growing importance of privacy. Relate these trends back to the work Visa is doing and how you can leverage them in your role.

Explain your approach by breaking down complex topics into simpler analogies and visuals. Provide an example of how you've successfully communicated technical information to a non-technical audience, emphasizing clarity and relevance.

Express your enthusiasm by highlighting your understanding of the potential of identity data in revolutionizing fraud detection and enhancing user experiences. Share your vision for how you could contribute to advancing Visa’s goals in this area.