
1. Core Engineering & Data Architecture - Leading the development of scalable data platforms, pipelines and the overall engineering backbone that supports enterprise data capabilities.
2. Business Partnership - Collaborating closely with senior business stakeholders to enable effective data consumption, advanced analytics and data-driven decision making across key functions.
3. Enterprise Data Ecosystem - Driving enterprise data architecture including data lakes, ingestion frameworks and consumption layers along with integrating core banking systems with data lakes and data marts.
4. Data Analytics & EDW Leadership - Leading enterprise data warehousing and analytics initiatives, building high-performing teams and enabling scalable insights and AI/ML driven decision-making.
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