Director - Global Interchange Compliance
Listed on 2026-01-17
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IT/Tech
Data Science Manager
Company Description
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.
Progress starts with you.
Job DescriptionThis role sits within the Global Interchange organization and serves as the Director of Global Interchange Compliance, responsible for ensuring that proper levels of interchange are paid and received by Visa’s clients worldwide and that Visa’s systems, processes, and controls operate as intended across all regions.
The role oversees global interchange compliance activities, including proactive monitoring, reactive remediation, rebalances, disputes, claims management, and the development of scalable analytical and reporting infrastructure. Projects will range from maintaining and enhancing global compliance processes, evaluating interchange trends, addressing client inquiries, and supporting strategic compliance initiatives across regions.
The ideal candidate brings strong technical and analytical capabilities, deep business acumen, and a passion for using technology and data to improve operational efficiency and compliance outcomes.
Essential Functions
- Lead global work streams related to Visa’s interchange compliance strategy collaborating with regional and functional partners across the organization
- Oversee continuous monitoring of key global drivers of interchange assessment and present insights and trends to senior leadership
- Identify, investigate, and resolve potential interchange processing issues that may result in financial or operational impacts to clients or Visa
- Direct the development and maintenance of global KPIs, dashboards, and analytical tools to support data‑driven decision‑making
- Maintain deep knowledge of Visa’s global interchange programs, industry developments, and client trends to ensure monitoring processes remain effective and aligned with evolving business needs
- Lead and mentor a high‑performing global compliance analytics team, fostering a culture of innovation, collaboration, and operational excellence
- Oversee global compliance monitoring tools, documentation libraries and the development lifecycle of internal systems
- Establish industry‑leading operational practices for anomaly detection, incident management, and end‑to‑end resolution across regions
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
QualificationsBasic Qualifications:
- 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD
- Advanced SQL proficiency with hands‑on experience working with large datasets and building BI tools (e.g., Salesforce Reporting, Power
BI, Tableau) - Strong analytical and problem‑solving skills, with experience in financial or statistical modeling and quantitative analysis
- Demonstrated ability to communicate strategy, influence senior stakeholders, and secure internal investment through consistent execution
- Excellent collaboration and communication skills with strong executive presence
- Self‑motivated, comfortable with ambiguity, and able to influence across multiple levels and global organizations
Preferred Qualifications:
- 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
- Prior people‑management experience leading analytics, compliance, or technical teams
- Proficiency in programming languages such as Python, Java, C++, C#, or similar
- Experience building scalable automated analytical models
- Familiarity with version‑control tools (Git Hub, Bitbucket) and software development lifecycle best practices
- E…
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