Product Manager, Identity Graph & NGFS

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

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. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications

• 5 years of relevant work experience with a Bachelor's Degree or 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications

• 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
• Agile Methodology: Strong understanding and implementation of Agile frameworks like Scrum or Kanban, experience managing software development projects using Agile methodologies.
• Experience with Graph databases and graph algorithms.
• Coding and Technical Skills: Proficient in writing, testing, and maintaining high-quality code.
• Data Science and API Development: Understand data preprocessing, feature engineering, and handling large-scale datasets. Know the basics of real-time AI applications and designing RESTful APIs.
• AI Compliance & Guardrails: Understand AI compliance frameworks and best practices for ethical AI usage. Be familiar with implementing guardrails to ensure responsible AI deployment.
• Project Management: Experience leading complex projects from inception to completion, with demonstrated ability to drive innovation and continuous improvement across projects with a development team, experience  managing multiple projects and priorities in a fast-paced, dynamic environment.
• Communications Skills: Excellent verbal and written communications skills.
• Innovation: A passion for innovation and a commitment to staying up to date with the latest a