Key Highlights in 2024:1- Saudi Major Energy Sector Client- Implemented Informatica Axon and EDC to establish a centralized platform for metadata management, governance, and collaboration.- Configured metadata scanners for diverse data sources, automating metadata extraction and ensuring its accuracy and completeness.- Developed a comprehensive business glossary to standardize terminology and enhance data consistency across the organization.- Defined and enforced governance policies and workflows, promoting adherence to data governance best practices.- Provided hands-on training to data stewards and governance teams, enabling effective usage of governance tools and processes.- Conducted system validations and resolved issues to optimize tool performance and user experience.2- Major Saudi Government Entity- Designed and delivered a holistic data strategy aligned with the organization’s vision and compliance with national data regulations like NDMO.- Developed a 3-year data roadmap covering governance frameworks, enabler activities (data quality, metadata, master data management), and utilization through analytics and AI.- Created a data operating model, defining governance roles, processes, and workflows to support sustainable data management practices.- Conducted gap analysis to assess current data capabilities and identify areas for improvement in governance, quality, and analytics.- Established key performance indicators (KPIs) to monitor progress in data management maturity and ensure measurable impact.

- Responsible for the formalization of the bank data strategy and the implementation of the enterprise data governance model.- Define and maintain the rules for feeding governance systems (DWH, Data Lake or any other Data marts) in conjunction with the other data actors in the process of Data Governance framework (Data warehouse Team, Data Owners or Data users).- Analyze core banking system and create sourch-target mapping rules to populate Data Lakehouse and ODS.- Identifying the official sources for the data, in collaboration with the various Data Owners (Golden Source of Data).- Developing the big data platform’s (Enterprise Data Lakehouse) data model using ERWIN Data Modeler.

- Conducted NDMO data management regulations assessments for several clients to assess data maturity across 15 data management domains by conducting stakeholders' interviews, documenting observations, identifying gaps, defining target states, and outlining detailed roadmaps and recommendations for implementation.- Create and ensure that the data warehouse model will provide users with the analytical capabilities and queries they might need by applying dimensional modelling standards (Kimball).- Developing visual reports, dashboards and KPI scorecards on Microsoft Power BI desktop for higher management.