Data Architect

SCOPE & AUTHORITY

Data Architecture :

• Execute Enterprise data initiatives / programs to establish a governed, curated, and agile data ecosystem that enables business to make data-driven decisions.
• Translate strategic requirements into a usable Enterprise information architecture (e.g. enterprise data model, associated metamodel, common business vocabulary, and naming taxonomy, etc.).
• Develop and maintain architecture artifacts, frameworks, and patterns as references for the development teams across the Group.
• Deliver tangible Data & AI solutions, Choosing the right technology, evaluating architecture evolution as well as being capable of creating and maintaining architecture using leading Data & AI technology frameworks
• Participate in key transformational project design reviews as part of the methodology process to ensure application designs adhere to enterprise information architecture guidelines.
• Monitor regulatory guidelines such as consumer privacy laws, data retention policies, outsourced data, and specific industry guidelines to determine impact on the enterprise information architecture.
• Provide capability assessment tool on Data Management & Governance in all Dimensions of Data Management adhering to DMBOK V2.
• Establish and monitor the operations of the data governance organization across the Group.
• Drive the implementation of corrective measures to ensure data governance policies and procedures are followed.
• Publish data reference architecture, data architecture principles, best practices, and design patterns to enable data engineering teams to build scalable and resilient platforms.
• Exploring new technology trends and leveraging on it in order to simplify our data eco-system (e.g. development of architectures, strategies, and policies around data governance, including master data management, metadata management, data quality and data profiling).

Data Management (Regulatory & Compliance) :

Requirements

Academic Qualification :

Skills Required :