Product Manager, Identity Graph & NGFS - job 3 of 20

As a Product Manager, Identity Graph & NGFS at Visa, you will engage with stakeholders from various regions to define product requirements and prioritize features. You will manage technology development and integration with our internal engineering teams and external partners. A crucial part of your role will be exploring emerging graph algorithms and collaborating on algorithms for data cleansing and standardization. You'll also work on business cases and revenue forecasts while keeping an eye on industry trends, competitors, and regulatory requirements affecting the product.

To be successful as a Product Manager, Identity Graph & NGFS at Visa, candidates should possess a strong understanding of data analysis and product development. Experience in working with cross-functional teams, particularly in a tech-driven environment, is crucial. Familiarity with Machine Learning and Artificial Intelligence applications, along with excellent communication and strategic thinking skills, will equip you to effectively manage and present data insights. A background in computer science or a related field is often beneficial for this role.

In the hybrid environment at Visa, a Product Manager, Identity Graph & NGFS, enjoys flexibility while still contributing to collaborative on-site efforts. Expect a balance of remote work and in-office days confirmed by your hiring manager. This model is designed to enhance productivity by allowing you to work comfortably at home while also engaging in key in-person interactions that foster team synergy and innovation.

The Identity Graph initiative at Visa focuses on combining internal datasets with relevant external data to create a comprehensive view of all individuals interacting with the ecosystem. By leveraging advanced data exploration techniques and collaborating closely with technical and business teams, this initiative aims to enhance fraud detection capabilities and improve authorization rates through innovative machine learning solutions.

Essential skills for collaboration as a Product Manager, Identity Graph & NGFS at Visa include strong communication capabilities, both verbal and written, to engage with diverse audiences. Critical thinking and strategic planning are necessary for integrating insights across teams. Additionally, adaptability is important for aligning with different functional teams like engineering and legal, ensuring that everyone is on the same page regarding goals and expectations.

When answering about your experience with data analysis in product management, highlight specific examples where you've used data to drive decisions. Discuss any tools or methodologies you utilized to analyze data trends or user feedback and how it affected product development. Be sure to link this to the role at Visa and showcase your understanding of data-driven strategies.

In your response about prioritizing features for a product roadmap, describe the methods you use, such as impact versus effort analysis or stakeholder input. Make sure to reference how these priorities would specifically pertain to the Identity Graph initiative at Visa, emphasizing understanding user needs and technical feasibility.

When discussing your experience with cross-functional teams, provide a clear example of a project where collaboration was crucial. Focus on the roles you interacted with, the challenges faced, and how you fostered communication and teamwork. Relate this back to working with engineering and design teams at Visa to enhance the Identity Graph product.

Approach to stakeholder management should reflect your philosophy on engagement and communication. Discuss how you identify stakeholders, understand their needs, and keep them informed through the development process. Link this to how it would benefit your role at Visa, particularly in managing various teams across the globe.

When addressing emerging technologies, focus on those pertinent to product management in the data landscape, especially regarding identity and fraud detection. Discuss technologies like machine learning algorithms or graph databases and articulate how these could innovate Visa’s offerings in identity management and fraud prevention.

Highlight a specific instance where you navigated regulatory challenges in a previous role. Discuss how you ensured compliance while achieving product goals. This will show your ability to handle similar challenges within Visa, particularly regarding data regulations affecting the Identity Graph.

When discussing how to develop business cases, outline your process, including market research, competitive analysis, and revenue forecasting. Provide a past example that illustrates your success in crafting a compelling business case, and how that experience aligns with your potential at Visa.

To ensure effective communication with technical teams, discuss approaches like using clear and straightforward language, setting regular check-ins, and employing visual aids to clarify complex concepts. This will indicate your ability to bridge gaps between non-technical stakeholders and engineering teams in your role as Product Manager at Visa.

Discuss various strategies for gathering user feedback, including surveys, user testing, and analytics. Relate how feedback has shaped past products you've managed, and emphasize its importance in continuously improving the Identity Graph and aligning with user needs at Visa.

When answering this question, express your enthusiasm for working at Visa and your passion for identity and fraud prevention in the tech industry. Highlight specific aspects of the Identity Graph initiative that excite you, such as leveraging data insights to create innovative solutions, and how your career goals align with Visa’s mission.