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):