Teams at Mastercard

Supports strategy and transformation consulting engagements for global clients across industries. Responsibilities include analyzing business problems, developing strategies and programs, preparing presentations, identifying insights, leading meetings, managing workstreams, collaborating with clients and internal teams, and delivering recommendations using data and technology. The role also contributes to project management, intellectual capital, and client relationships.

Leads the technical direction, architecture, delivery, and modernization of Mastercard’s Java and C++ Sanctions Service platform. Manages a seven-person software engineering team, balancing technical leadership with coaching, hiring, performance management, and roadmap execution. Drives scalable, secure, highly available systems, incident response, operational improvement, cloud readiness, and adoption of AI-assisted and agentic engineering practices within appropriate governance and compliance controls.

Leads data engineering for AI and machine learning fraud-detection products. Responsibilities include integrating disparate data sources, building scalable and automated pipelines, supporting modeling workflows, deploying production artifacts, creating documented data products, improving reusable processes, collaborating cross-functionally, leading projects, and mentoring junior engineers. Required technologies include Python, PySpark, Airflow, Hadoop, SQL, Databricks, Linux/Bash, CI/CD, and JIRA.