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.
• Bachelor's degree
• 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.
• Experience in designing complex Data Architecture Design.
• 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.