Lead design and delivery of Mastercard's on‑prem AI infrastructure: roadmap, procurement (RFI/RFP), architecture for compute, storage, networking and cooling to support large‑scale training and low‑latency inference. Partner with data science, MLOps, enterprise architecture, security, and sourcing to align infrastructure with governance, ROI, and responsible AI requirements.

Design, build, and deploy machine learning models for ad targeting, ranking, and bidding optimization. Develop personalization and recommendation systems at scale. Lead incrementality testing, attribution modeling, and experimentation. Optimize models for production latency and scalability, and collaborate with product, engineering, analytics, and business teams to translate objectives into MLOps-ready solutions for Mastercard's AdTech and commerce media products.

Design, build, validate, and deploy machine learning models; perform EDA and statistical analysis; design and maintain scalable ETL/ELT data pipelines; work with large distributed datasets; run A/B tests; monitor production model performance; partner with product, engineering, and business teams to deliver data-driven solutions and ensure data quality.