Job Description
Key Accountabilities
- Define, refine, divulge, and govern Data Architecture foundations, principles from Abstract to Specific.
- Contribute to the overall Enterprise Architecture in relation of the Data Strategy of the bank and support Architecture Board for evaluating the initiatives and be main responsible and accountable in regards of key cross functions like the Data Governance Engineering Team and Data Science Team as well as Domain Specific Teams for accommodate the Change like Core Banking, Cards, Customer Insights
Other Accountabilities
- Coordinate with the Governance & Engineering, Data Science, and IT Domains teams to identify future needs and requirements
- Able to articulate the information flows and High-Level Design sections around it, indicating the As-is architecture, the TOBE Architecture and the Transitional Architectures required to ensure the Stability of Data Processing, Data Governance, Data Quality platforms, selecting the proper technology for accommodate business requirements.
- Document High-Level Designs (HLD) providing the E2E view for Information Flows, requesting the Low-Level Designs (LLD) are supporting the HLD in order to ensure delivery teams follow the strategy and principles.
Competencies
- Adaptability/Flexibility
- Creativity/Innovation
- Decision-Making/Judgment
- Dependability
- Initiative
- Integrity/Ethics
- Problem Solving/Analysis
Skills
Skills
- Ability to interact with internal and external stakeholders
- Ability to work under pressure
- Accuracy and attention to detail
Education
- Bachelor’s degree in Computer Science or equivalent