Visa and its subsidiary companies have Identity, Authorization and Fraud data in multiple systems built and acquired over the years. These rich datasets when appropriately mined via Machine Learning/Artificial Intelligence, will provide network-agnostic tools to improve authorization rates for our merchants and partners in the ecosystem. Identity Graph brings these internal datasets & relevant external data together to build a holistic 360-degree view of all the individuals who interact with the ecosystem and empower multiple use cases in the identity-enabled fraud detection space. This role will focus on data exploration and research to drive requirements for Visa’s Identity Graph, working with a globally distributed team to do so.
The Product Manager will work directly with engineering, design and other Visa product teams to understand the data available across the sources. The ideal candidate should be able to quickly come up to speed on the data available within Visa and externally and be able to think critically and strategically about how to bring it together in way that empowers a holistic view of the individuals. They will be required to work directly with technical teams, business teams, and partners, therefore should be comfortable adapting their communication style appropriately for their audience. They will be responsible for working with the technology team to drive product requirements, roadmap planning, and execution of new capabilities for the Identity Graph and Next Gen Fraud Signals.
Responsibilities:
Work with stakeholders across various geographical regions, Visa product teams, and functions (e.g. design, legal) to define requirements and prioritize features
Manage and coordinate technology development and integration with internal engineering teams and external partners/vendors
Explore new emerging technologies for graph algorithms that could be relevant for the product
Explore data cleansing and standardization algorithms partnering with the engineering teams
Collaborate with fellow product managers to develop business case and revenue forecasts for your product
Understand the industry landscape, competitors, regulatory requirements that impact your product
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 3 set days a week (determined by leadership/site), with a general guidepost of being in the office 3 days or more of the time based on business needs.
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Join Visa as a Product Manager in Ashburn, where you'll dive into the exciting world of data and empower the future of fraud detection. In this role, you'll be at the forefront of utilizing Visa's vast Identity, Authorization, and Fraud datasets. With your keen eye for data exploration, you'll lead the charge in driving requirements for Visa’s Identity Graph, a powerful tool designed to create a comprehensive 360-degree view of individuals in our ecosystem. Collaborating with a diverse global team, you’ll engage with various stakeholders to define key product features while coordinating technology development and integration with internal teams and external partners. Your analytical mindset and strategic thinking will help you identify emerging graph algorithms and data cleansing techniques that can further enhance our product. As you work with cross-functional teams, including engineering and legal, you'll prioritize the most impactful features that will drive value for our merchants and partners. This hybrid position provides the unique opportunity to balance remote work and on-site collaboration, ensuring you stay connected while fostering innovation at Visa. If you're passionate about using data to create transformational solutions, we would love to see you thrive in this integral role with us.
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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...
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