Teams at Mastercard

Manage strategy roadmaps and execution for data science initiatives involving data pipelines, AI tooling, model monitoring, and development stacks. Coordinate data science, engineering, product, and leadership teams; align priorities, dependencies, risks, timelines, and trade-offs; communicate status to stakeholders; facilitate planning and retrospectives; and drive continuous improvement across complex, matrixed programs.

This role involves developing high performance, low latency Java solutions for the Fraud Management Platform, collaborating with a team in an Agile environment, and troubleshooting operational issues.

Supports commercialization and lifecycle management of Business Identity products. Develops pricing recommendations, business cases, financial models, ROI analyses, launch plans, readiness materials, and executive communications. Partners with Product, Engineering, Data Science, Finance, Sales, Marketing, Legal, Risk, and regional teams to support go-to-market execution, monitor post-launch performance, and identify opportunities for enhancements or market expansion.