Head of Data Strategy & ArchitectureDate: 7 Jan 2025
Requisition ID: 13328
Employment Type: Permanent
Location: CD Tower, MY
Division: TRANSFORMATION
Job DescriptionDesign structures, business cases, and plans to meet the current and long-term data requirements of the enterprise.
Strategically prepare organizations to quickly evolve their products, services, and data to take advantage of business opportunities inherent in emerging technologies.
Accountable for Data Strategy & Next Gen technologies (Knowledge Graphs, AI, ML, NLP, Cloud, etc.)
related to Data Governance & Management.
Develop and implement data migration strategies and standards to ensure seamless integration of data from various sources.
Collect and organize data in alignment with Data Governance, Quality, Security, People & Culture, Master Data Management, and Data Infrastructure policies and standards.
B.
Data Architecture (Dictionary, Landscape, Metadata, Lineage, Modeling and Design)
Managing movement and consolidation of data within and between applications, processes, and organizations.
Planning, implementation, and control activities to enable access to high-quality and integrated metadata.
Process of discovering, analyzing, and scoping data requirements.
Creates a foundation to successfully complete broad-scoped initiatives (including systems implementation) such as Data Quality & Master Data Management and Data Governance programs (including Data Protection, Data Lifecycle Management, etc.).
Accountable for Data Lifecycle, Integration & Interoperability, Distribution/Sharing, Metadata/Catalog/Lineage, Data Modelling, and Design.
Responsible for Enterprise Data Architecture setup and maintenance – Define Business Goals and Objectives, Assess Current State Data Architecture, Define Data Architecture Framework, Design Data Architecture, Select and Evaluate Technology Stacks, Implement Data Architecture, Data Migration, Testing, Training & Change Management, Maintenance & Continuous Improvement.
Deliver performance monitoring and reporting.
Key Requirements
Bachelor's/Master's in computer science, computer engineering, electrical engineering, systems analysis, or a related field of study.
Total of 10-15 years of working experience, including 8-10 years of relevant experience in Data Strategy and Data Architecture design, setup, maintenance, optimization, and operations.
Including Data Protection (Security & Privacy), Data Quality, Data Strategy & Next Gen technologies, Data Integration & Interoperability, Distribution/Sharing, Metadata/Catalog/Lineage, Data Modelling, and Design.
At least 10 years of experience in data architectures, which include ETL pipelines, data lakes, data warehouses, and monitoring infrastructure.
Requires advanced knowledge of Data analysis and data management tools to recommend and provide industry best practices.
Hands-on knowledge for Design, Build, Maintenance, Monitoring, and Optimization of Enterprise Level Data Governance and Data Management Frameworks.
Experience in data engineering, probability and statistics, machine learning, experimental design, and optimization.
Excellent knowledge in ELT (Extract, Load, Transform) pipelines, SQL, Data Analysis, Data Modelling, Data Warehousing, Data Collection, Data Mining, Data Mapping, and Data Processing for Structured & Unstructured data.#J-18808-Ljbffr