Job Description

ResponsibilitiesA. Data Strategy (Data Strategy, Integration & Migration, Data Lifecycle, Value Creation)

• Design 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 a 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 10 -15 years of working experience consist of 8-10 years 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 warehouse and monitoring infrastructure
• Requires advanced knowledge of Data analysis and data management tools to be able to recommend and provide industry best practices.
• Hands-on knowledge for Design, Build, Maintenance, Monitoring, Optimization of Enterprise Level of 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, Data Processing for Structured & Unstructured data

We are now ONE! Celcom and Digi have merged with the aim of bringing you the best of both networks, products and services, customer experience and innovation, to meet all your connectivity needs now and in the future.We believe that connectivity improves everyone\xe2\x80\x99s lives. Our aim is to serve the growing digital needs of our customers by leveraging the newly combined widest network footprint, distribution touchpoints, innovative range of digital products and services, and superior customer experience.Being customer-obsessed, we are driven to perform relentlessly and build a responsible and caring brand as we are now stronger together.

CelcomDigi