Product Manager, Identity Graph & NGFS

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.

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.

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 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.

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 0.00 to per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.