- Lead, develop, and strengthen high‑impact stakeholder relationships across internal teams and Visa clients.
- Build and deploy advanced analytical and AI/ML models across Visa and VCA clients (issuers, acquirers, merchants), following AI‑First principles.
- Work with large‑scale, complex datasets, extracting, cleansing, transforming, and manipulating data using tools such as Hadoop ecosystem, PySpark, SAS, Presto, SQL, and related technologies.
- Oversee robust data‑wrangling processes, ensuring high‑quality datasets suited for predictive modeling and analytical insights.
- Develop, evaluate, and validate advanced data mining techniques, machine learning algorithms, and automated analytical capabilities to solve strategic business challenges.
- Leverage Visa’s data, AI infrastructure, and analytic assets to design, standardize, and implement scalable consulting solutions.
- Identify relevant market and industry trends, generating insights that inform strategic decisions in the payments ecosystem.
- Engage and influence internal and external stakeholders to shape analysis scope, methodologies, and solution direction.
- Continuously propose innovative ideas that improve analytical strategies, operational efficiency, and client value—promoting an AI‑First and experimentation culture.
- Conduct client‑specific analyses using proprietary portfolio data, including demographics, behavioral patterns, spend, fraud, credit risk, and financial performance.
- Communicate complex analytical concepts and model results clearly and effectively to executive and non‑technical audiences.
- Support technical knowledge transfer and ensure smooth implementation of delivered solutions.
- Document analytical processes, methodologies, and best practices, contributing to continuous improvement across the organization.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.