Product Manager
Product Manager
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Salary Not Disclosed
1 Vacancy
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 networkagnostic 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 360degree view of all the individuals who interact with the ecosystem and empower multiple use cases in the identityenabled fraud detection space. This role will focus on data exploration and research to drive requirements for Visas 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.
Qualifications :
Basic Qualifications
- 5 years of relevant work experience with a Bachelors 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 Bachelors 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 highquality code.
- Data Science and API Development: Understand data preprocessing feature engineering and handling largescale datasets. Know the basics of realtime 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 fastpaced 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 problemsolving skills with a knack for making datadriven decisions.
- Handson experience in programming languages and software development deployment release management testing automation.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 510% 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 124700 to 180650.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated 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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
