As VP of Data Engineering & Analytics, I lead multi-region teams of data engineers, data scientists, ML Engineers, TPMs, and software engineers and work closely with other groups such as Data Privacy, Infosec, Product Owners, Customer Experience, and Technology in order to support the development of net new global products and also re-engineer and scale existing products for Mastercard.Strong analytical skills with extensive knowledge in:- Leading high-performing multi-country teams for developing/delivering modern enterprise Data architecture and ML-driven products at scale.- Thoughtful leadership on approaches to democratize data, design data platforms, machine/deep learning, and data governance.- Outstanding expertise in designing and building end-to-end data platforms from data ingestion to data publishing.- End-to-end campaigns - design and execution, performance analysis, and audience selection optimization.- Big expertise in ML/DL models end-to-end cycle in loyalty data, acquisition, activation, and portfolio analysis/optimization.- Expert in understanding/developing use cases, identifying data-related capabilities and infrastructure requirements, proposing solution architecture, and breaking large solutions into smaller ones.- Strong knowledge of big data and open-source capabilities such as Hadoop, Impala/Hive, Python, SQL, Spark, NiFi, Airflow, Elastic Search, Postgres, PCF, etc.- Cloud enablement for migrating on-premises Big Data capabilities and end-to-end products to AWS-Databricks.
Listed skills include Business Intelligence, Segmentation, Data Mining, Analytics, and 36 others.