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.
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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications
•5 or more years of relevant work experience with a Bachelor's Degree or at least 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 advancements in Generative AI.
•Critical Thinking: Exceptional analytical and problem-solving skills, with a knack for making data-driven decisions.
•Hands-on experience in programming languages and software development, deployment, release management, testing, automation.
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
