Product Manager, Identity Graph & NGFS - job 14 of 20

The Product Manager, Identity Graph & NGFS at Visa is responsible for defining product requirements and prioritizing features by collaborating with diverse stakeholders, including Visa's product teams and external partners. This involves exploring new technologies relevant to graph algorithms, managing technical development, driving roadmap planning, and developing business cases for the Identity Graph and Next Gen Fraud Signals. The role requires a strategic mindset to synthesize complex datasets into actionable insights.

To be considered for the Product Manager, Identity Graph & NGFS position at Visa, candidates should ideally have a strong background in product management, experience with machine learning or artificial intelligence, and a solid understanding of data analysis. Proficiency in engaging with technical teams, possessing excellent communication skills, and an ability to navigate regulatory landscapes are also essential qualifications.

The Product Manager in the Identity Graph & NGFS team significantly enhances fraud detection by leveraging extensive datasets through machine learning and AI. By creating a holistic view of individual interactions within Visa's ecosystem, the Product Manager enables the development of innovative tools that help identify fraudulent activities effectively and improve authorization rates for partners and merchants.

At Visa, the Product Manager, Identity Graph & NGFS will engage in a diverse and collaborative team environment. The role involves working closely with globally distributed engineering teams, design professionals, and other product managers, allowing for a blend of various perspectives. This team-oriented culture fosters innovation and provides ample opportunities for professional growth and knowledge sharing.

A typical day for a Product Manager in the Identity Graph & NGFS team at Visa involves meetings with stakeholders to gather and define product requirements, reviewing the progress with engineering teams on current projects, exploring emerging technologies through research, and collaborating on strategic planning for the product roadmap. The role requires adaptability, as the Product Manager will also need to engage with various teams and adjust communication styles as necessary.

In answering this question, highlight specific examples of how you've used data analysis to drive product decisions. Discuss tools or methodologies you've employed to glean insights, and how these insights influenced features or enhancements in your previous roles.

Leverage your experience to provide a structured approach towards prioritization. Explain how you gather input from stakeholders, assess market needs, and utilize frameworks for prioritizing features that align with business objectives.

Demonstrate your commitment to continuous learning by discussing specific sources you follow, conferences you attend, or networks you're part of. Emphasize how staying informed has benefitted your product management practices.

Discuss your approach to conflict resolution, emphasizing active listening, finding common ground, and focusing on data to guide decisions. Providing an example of a past situation can illustrate your adeptness in managing disagreements.

Reflect on any projects where you've integrated machine learning or AI components. Discuss how you collaborated with technical teams and the impact these technologies had on the product outcomes, illustrating your familiarity with these concepts.

Share a narrative that outlines your role in a product launch, from inception to completion. Focus on the challenges encountered, your strategies for overcoming them, and the successful metrics achieved post-launch.

Explain your process for staying informed about regulatory changes relevant to your product. Mention collaborations with legal teams and how you incorporate compliance checks into the product development lifecycle.

Discuss specific tools, whether they be project management software, data analytics platforms, or user research methodologies. Highlight how these tools have streamlined your workflows and improved communication within teams.

Describe various techniques you've employed for customer engagement, such as surveys, beta testing, or user interviews. Stress the importance of incorporating customer feedback into product iterations.

Offer insights based on your knowledge and observations about the evolving landscape of identity graph technology. Share your thoughts on upcoming trends, potential challenges, and how you envision products adapting to meet future needs.