Product Manager, Identity Graph & NGFS - job 7 of 20

The Product Manager, Identity Graph & NGFS at Visa will have a range of responsibilities including working closely with stakeholders across various regions to define and prioritize product requirements, coordinating technology development with internal teams and external partners, and exploring the latest emerging technologies relevant to the product. Additionally, they will conduct market analysis to understand competitors and regulatory requirements while collaborating with fellow product managers to build strong business cases and revenue forecasts.

Candidates for the Product Manager, Identity Graph & NGFS at Visa should ideally possess a combination of technical knowledge and strong communication skills. A background in data analytics or product management is beneficial, as well as experience with Machine Learning and data integration. Additionally, a critical and strategic thinking ability to understand and leverage both internal and external datasets is essential for the role.

The Product Manager, Identity Graph & NGFS contributes significantly to Visa's fraud detection efforts by analyzing and integrating diverse datasets to generate a comprehensive view of user interactions within the ecosystem. By leveraging Machine Learning and AI, they drive the development of tools that enhance authorization rates and empower the identification of fraudulent activities, ultimately leading to more secure transactions for our partners and customers.

In the role of Product Manager, Identity Graph & NGFS, you will work in a dynamic, globally distributed team environment. Collaboration is key, as you will regularly communicate with design, engineering, and business teams. Adapting your communication style to suit various audiences will be essential, ensuring that everyone involved is aligned on product goals and updates.

The Product Manager, Identity Graph & NGFS position at Visa operates on a hybrid model, allowing for a mix of remote work and in-office days. The exact expectations regarding office presence will be determined by the hiring manager, making flexibility an inherent aspect of the role.

Certainly! In previous roles, I have worked extensively on integrating various data sources, ensuring that all relevant datasets are accurately combined to create meaningful insights. I often collaborated with engineering teams to define the architecture needed for seamless integration, which has been fundamental in driving effective product decisions.

I prioritize features by engaging with stakeholders to gather insights on their needs, aligning them with business objectives, and analyzing market trends. Using frameworks like the MoSCoW method helps categorize features into must-haves, should-haves, could-haves, and won't-haves, enabling a structured approach to prioritize effectively and efficiently.

Effective stakeholder communication involves understanding your audience and tailoring the message accordingly. I focus on clarity and brevity, ensuring I present information that meets the stakeholder's needs. I also make use of visual aids and regular updates to build transparency and maintain engagement throughout product cycles.

To keep up with emerging technologies, I actively follow industry trends through blogs, webinars, and professional networks like LinkedIn. I also make it a point to participate in relevant workshops and conferences, which not only helps me learn but also provides opportunities for networking with other professionals in the field.

Collaboration is pivotal in product management. I heavily rely on the input and expertise of my cross-functional teams, ensuring that each voice is valued and considered in the decision-making process. Regular brainstorming sessions and agile methodologies foster an environment of collaboration that enhances creativity and innovation.

In one challenging project, resource constraints arose unexpectedly, impacting timelines. To handle this, I conducted a thorough analysis of the project scope and discussed with stakeholders to prioritize deliverables. By adjusting timelines and focusing on critical features, we successfully launched the product on a revised schedule while maintaining quality.

When developing a business case, I start with market research to identify the opportunity, followed by analyzing competitive landscapes and potential revenue streams. I work closely with financial analysts to create projections, validating assumptions through user feedback and testing concepts before presenting a comprehensive case to stakeholders.

I have hands-on experience utilizing Machine Learning to enhance product features, notably in predictive analytics and user behavior modeling. I collaborated with data scientists to refine algorithms that could inform product iterations, ensuring that we made data-driven decisions that aligned with user needs and market demands.

Managing risk in product development involves identifying potential risks early and assessing their impact on the project. I implement risk management strategies like contingency planning and continuous monitoring, ensuring that we can adapt as necessary. Communication with stakeholders throughout the process is essential to maintain awareness and alignment.

Post-launch, I focus on analyzing key performance indicators (KPIs) such as user engagement, retention rates, and revenue growth. Gathering user feedback through surveys and interviews is also crucial as it provides qualitative insights. This data drives further iterations and ensures the product continues to meet the evolving needs of its target audience.