Assistant Vice President, Senior Data Architect

About the job Assistant Vice President, Senior Data Architect Job Description • Design and develop modern data and analytics platform • Design and develop Data and Analytics architecture blueprint, Policy, Standards and Procedures for the organization. • Define data management and governance framework. • Design solution architecture across specific business applications or technologies based on enterprise business strategy, capabilities, and requirements. • Collaborate with security and risk teams to develop/update/promote Data Security Policies and Standards which are aligned to Organization's Security Procedure and Practices. • Provide consulting support to Project's business/application/Technology Architects to ensure solution's alignment to overall Data Enterprise Architecture Policy and Standards. • Understands technology trends and its practical application to existing and emerging technologies to enable new and evolving business and operation models. Qualifications and Education Requirements • Minimum of 10 years of data architecture experiences. • Experience in banking industry is preferred Job Requirements • Experience in modern AI, analytics, big data and technologies including cloud platforms, data quality, governance, data strategy and architecture • Experience in design and implementation of modern data warehouse and Data Lake/Big Data Technology including Teradata, Amazon Redshift, Azure Synapse, Google BigQuery, snowflake, databricks, Oracle DW and Cloudera. • Experience in developing Data Governance model for data Profiling, data quality, data catalog, data tagging, data glossary and data lineage • Deep understanding of Modern Data Platform. • Experience in developing Data Enterprise Architecture Policy, Standards and Procedures for global bank. • Deep understanding in Data Management framework with strong focus on Data availability, quality, integrity, usability, security. • A Strong understanding in conceptual, logical, and physical data modelling. Well versed in data modelling techniques (Kimball) in both Entity Relationship data model and dimensional data model • Experience in database technologies such as AWS RDS, MS SQL, DB2, Oracle DB, MySQL, MongoDB/ NoSQL • Experience in Data transformation / integration, BI, Data Analytics, Reporting, Machine Learning toolsets such as, Talend, Alteryx, Business Objects, Informatica, Tableau, PowerBI, etc. • Experience in data streaming technology using, Kafka, Tibco. • Experience in Data Virtualization Technology (Denodo) • Experience with machine learning, NLP and deep learning modelling. • Knowledge in data mesh and data product, and data marketplace • Strong presentation and technical documentation, and project management skills. • Experience in Application Data Integration using Enterprise Service Bus and/or API Management. • Familiar with TOGAF concept with practical experience in full TOGAF cycle implementation. • Familiar with Financial Regulator's Data Governance Policy and MAS TRM. #J-18808-Ljbffr