- Data Governance is the core component of Data Management, which handles direction and oversight for Data Management.
- Data Architecture is a framework and foundation of Data Strategy. Data Architecture, the blueprint shows how data is acquired, transported, stored, queried, and secured.
- Data Modeling and Design is the process and software engineering to gather, analyze, represent and communicate data requirements in a model form, called Data Model.
- Data Storage and Operations is defined as Designing, Implementation and Support of Data to Maximize its Value.
- Data Security ensures that Data is accessed appropriately and maintained its privacy & confidentiality.
- Data Integration and Interoperability includes policies, procedures and processes related to the Data Movement and Consolidation within and between data stores, applications, and organizations.
- Document and Content Management includes planning, implementation, and control activities used to manage the lifecycle of data and information found in a range of unstructured media, especially documents needed to support legal and regulatory compliance requirements.
- Reference and Master Data includes ongoing maintenance of core critical shared data to enable
consistent use across systems of the most accurate, timely, and relevant version of truth. - Data Warehousing and Business Intelligence includes the Planning, Implementation, and Control Processes to manage decision support data and to enable knowledge workers to get value from data via analysis and reporting.
- Metadata includes planning, implementation, and control activities to enable access to high quality, integrated Metadata, including definitions, models, data flows, and other information critical to understanding data and the systems through which it is created, maintained, and accessed.
- Data Quality includes the planning and implementation of quality management techniques to measure, assess, and improve the fitness of data for use within an organization.
- Data Handling Ethics describes the central role that data ethics plays in making informed, socially responsible decisions about data and its uses. Awareness of the ethics of data collection, analysis, and use should guide all data management professionals.
- Big Data and Data Science describes the technologies and business processes that emerge as our ability to collect and analyze large and diverse data sets increases.
- Data Management Maturity Assessment outlines an approach to evaluating and improving an organization’s data management capabilities.
- Data Management Organization and Role Expectations provide best practices and considerations for organizing data management teams and enabling successful data management practices.
- Data Management and Organizational Change Management describes how to plan for and successfully move through the cultural changes that are necessary to embed effective data management practices within an organization.
Data Management – Key Components and Knowledge Areas
Master’s degree in computer science with Specialization in Software Engineering and Earned PGD in Management Information System. Accumulated 20+ years’ Information Technology, Data Governance, Data Management, and Compliance related consecutive hands-on experience, possess diversified business and technical background across the Aviation, Healthcare, Investment, Education, and Construction sectors.
45+ Online Professional Certifications, which includes:
• CDMP – Certified Data Management Professional
• CDPO – Certified Data Protection Officer
• GDPR – General Data Protection Regulation Practitioner
• EDRP – EC-Council Disaster Recovery Professional
• AWS Certified Cloud Practitioner
• Oracle Enterprise Data Management Professional
• Oracle Database Cloud Certified Professional
• ITIL – Information Technology Infrastructure Library (ITSM – IT)
Experience includes leading data governance and management initiatives, ensuring compliance with NDMO, GDPR and KSA PDPL, and implement/improve data security, privacy, & protection. Expertise spans a wide variety of platforms, tools, technologies, hardware, software, and operating systems.
Served in leadership capacities such as Manager – Data Management, Sr. Team Lead – Database Specialist, Sr. Team Lead Consultant, Sr. Applications DBA, Sr. Resident Consultant, and Manager Systems.