• Develop and implement data management strategies for Data & AI projects in line with organizational goals• Oversee data governance initiatives, ensuring compliance with data standards, AI ethics and regulations• Collaborate with cross-functional teams to leverage data effectively and enhance data integrity• Conduct regular assessments of data quality and implement corrective measures as needed for enhancing AI training.• Monitor data management processes and recommend improvements to optimize data workflows and train AI Models• Prepare and deliver presentations and reports to stakeholders regarding data management practices and performance• Facilitate training sessions to enhance data management knowledge among team members and stakeholders• Stay abreast of industry trends and advancements in AI , data management technologies.

Data Governance Lead, Managing DATA Data projects in @STCs @Dama

Data Governance & Management consultant at ZainTech, currently responsible for developing and enforcing data governance Subject areas Based on NDMO standards in KSA, fostering data stewardship practices at multiple levels, and formalizing the benefits of improved data within the organization. I working on organizational change management initiatives that proactively communicate to Data Stewards. I apply particular data governance program like strategy, policy, quality, oversight, compliance, issue management, and data evaluation required to successfully manage data as an asset. I have over 14 years of experience in Saudi Arabia applying Data Science and Data governance in Governmental and private sector Projects.

 Collaborate with data Data stewards and other Business areas to augment digital transformation efforts Deployment of data policies and processes and their continued enforcement to include areas such as workflow for data ingestion, data quality, master data and data life cycle management. Ensure that data quality guidance and direction is applied throughout the entire data lifecycle, most importantly upfront, through the vision and roadmaps for solutions that seek to leverage data and data services. Ensure that all data assets which are subject to the governance processes within the Data office are addressed Support the development and maintenance of an end to end data lifecycle management approach Responsible for applying data governance framework including the management of data, operating model, data policies and standards as well as the application of clearly defined data management definitions for use across the Data Office Apply a data governance framework, with a focus on continued improvement of data quality and strict adherence to the agreed Trust and Classification processes.  Follow the guidelines related to data governance and data quality and ensure clear accountability. In addition, he/she will have a key role working with various stakeholders across the organization to achieve the goals defined in the data governance and data management strategies. Operate data remediation plans where data fails to meet required standard: -DAMA certification ,standards and guidelines of NDMO

Lead teams of data scientists to ensure projects are completed on time and within budget.Preparing a detailed project plan to schedule key project milestones, workstreams, and activities.Identifying and mitigating potential risksManaging the relationship and communication with the client and all stakeholders, ensuring the project is delivered to their satisfactionDefining resource requirements and managing resource availability and allocation—both internal and third-party—practices, with proven experience in establishing data governance organizations and/or analytics teams

Analyze and implement analytical infrastructure and tools, analytical workflow processes, and complex data visualizations, and demonstrateFundamental knowledge of mathematical and statistical concepts, algorithm development, feature design, model selection, training, testing, and validation of various models, pipeline generation, and domainExpertise bridges the gap between decision-makers and technical authorities, ensuring that data or modeling solutions meet business requirements.Extract qualitative and quantitative relationships, including patterns and trends, from multiple data sets.Using Tableau, WEKA,WEKA and Python

Computer and control engineer in water service projects. As a site engineer, I was responsible for installing and programming automation systems.studying specifications and preparing a hardware PO.Review the vendor's quotations, prepare a technical quotation evaluation, and recommend the final, technically acceptable vendor.Follow up with all manpower on site and technical draftsmen to confirm work progress; also follow up with inventory stock, required material lists, and POs for work.Ensure that the results of all work done are within contract specifications.Manage suppliers and subcontractors to meet objectives related to cost, delivery performance, schedule, and quality.Responsible for design, specification, selection, and services related to basic process control systems, safety systems, PLCs, and other control systems.Prepare submittals and technical reports.Attend meetings with internal managers and with consultants and owner representatives.Providing diagnostic support for resolution of issues by performing root cause analysis (RCA) and recommending improvements to control system hardware, software, logic, HMI, and procedures