Data Quality Governance and Policy Integration Data Quality efforts should be supported by and should support data governance policies. For example, governance policies can authorize periodic quality audits and mandate …
Master’s degree in computer science with Specialization in Software Engineering and Earned PGD in Management Information System, in addition to 45+ Online Professional Certifications.
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.
Engaged in Applied Research with a focus on Big Data Governance, Privacy, Security, and Compliance, resulting in the publication of numerous articles and research manuscripts in prestigious international journals, including the Journal of Sensor Networks and Data Communications, the Journal of Electrical Electronics Engineering, and the Innovative Journal of Applied Science. These works contribute practical insights and solutions to address industry challenges effectively.
Experience includes leading data governance and management initiatives, ensuring compliance with NDMO, GDPR and KSA PDPL, and implementing/improving data security, privacy, & protection.
Served in leadership capacities such as Manager – Data Management, Adjunct Faculty Member, Sr. Team Lead – Database Specialist, Sr. Team Lead Consultant, Sr. Applications DBA, Sr. Resident Consultant, and Manager Systems.
Possesses extensive expertise spanning a diverse range of platforms, tools, technologies, hardware, software, and operating systems, effectively leveraging this knowledge to address complex challenges in Data governance, security, privacy and compliance.
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)
For further detail
Data Quality – As a Part of Data Governance
Data Quality as an Essential Part of Data Governance Data Quality Management A Data Quality program is more effective when part of a data governance program. Often data quality issues …
Data Quality Program – Readiness Assessment / Risk Assessment
Importance of Readiness Assessments in Data Governance Findings from a readiness assessment will help determine where to start and how quickly to proceed. Findings can also provide the basis for …
Data Quality Program – Implementation Guidelines
Data Quality Implementation Guidelines Typically, a hybrid approach to executing data quality initiatives works best – top-down for sponsorship, consistency, and resources, but bottom-up to discover what is actually broken …
Data Quality – Audit Code Module and Metrics
Data Quality Checks and Audit Code Modules Create shareable, linkable, and re-usable code modules that execute repeated data quality checks and audit processes that developers can get from a library. …
Data Quality – Preventive and Corrective Actions
Data Quality Improvement: Preventive Actions How Does Metadata Improve Data-Quality The best way to create high quality data is to prevent poor Q.D from entering an organization. Preventive actions stop …
Data Quality – Tools
Data Quality Tools in Enterprise Planning Tools should be selected and tool architectures should be set in the.planning phase of the enterprise Data Quality program. Tools provide a.partial rule set …
Data Quality – Incident Tracking System
Data Quality Incident Tracking System Overview The incident tracking system will collect performance data relating to issue resolution, work assignments, volume of issues, frequency of occurrence, as well as the …
Data Quality – SLA – Service Level Agreements
What is Data Quality Service Level Agreement? A data quality Service Level Agreement (SLA) specifies an organization’s expectations for response and remediation for data quality issues in each system. Data …
Data Quality Reporting
How Data Quality Reporting Works? The work of assessing the quality of data and managing data issues will not benefit the organization unless the information is shared through reporting so …