Job Description

Job Title IT Software

Experience

School Degree

Description


REPORTS DIRECTLY TO: Senior Manager System Architecture
JOB PURPOSE:

• Develop and evolve the enterprise-wide data strategy to support the delivery of organizational objectives
• Building Data solution aligned with Target Data Architecture and implementation data architecture principles and standards within the bank.
• Architecting Customer Event Streaming , data contextualization and real-time analytics platform
• Be a key stakeholder and advisor in all the new strategic data initiatives and ensure alignment to the enterprise-wide data strategy

KEY RESPONSIBILITIES:

• Ability to build and contribute to data streaming platform
• Championing a Data-as-an-Asset mindset across the group; training the team
• Provide technical oversight to solution delivery in creating business-driven solutions adhering to the enterprise architecture and data governance standards
• Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards
• Define and design - Information infrastructure, information life cycle associated to EMI
• Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture
• Build a framework of principles to ensure data quality, integrity across the business (including but not limited to Core, Payments, Digital Banking, Customer 360, BI, Data warehouse, external interfaces, etc.)
• Ensure that the Data Architecture strategy and roadmap are aligned to the business and technology strategies.
• Exploring data sources to understand whether they can add value to products
• Design platform that will improve data quality, metadata management, data governance and ensure driven by data principles
• Defining best practices and patterns for data ingestion and transformation
• Working with the data engineers to ingest, transform, and provision new data and contribute data architecture for digital analytics, real-time event sourcing, data contextualization, and running AI models.

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