AI Data Manager-ETL
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AI Data Manager-ETL
Location
Lahore, Pakistan
Experience
Mid
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
Job Title : AI Data ManagerLocation: Bahrain (with frequent travel to GCC)
Experience: 4-6 years
Job Summary
Our client is seeking a highly skilled Data Manager to join the AI & Data team. The ideal candidate will have a deep understanding of data management practices, data architecture, and data governance. This role will oversee data quality, integration, and lifecycle management, ensuring clients can leverage their data assets effectively.
Key Responsibilities
- Design, implement, and manage robust data management frameworks and practices for clients.
- Oversee data quality management, ensuring accuracy, consistency, and reliability of data across systems.
- Develop and implement data governance policies and procedures to ensure compliance with industry standards and regulations.
- Manage data integration processes, including (Extract Transform, Load) ETL development, to support seamless data flow across systems.
- Develop automation scripts for testing and remediating data issues, ensuring continuous monitoring and maintenance of data quality.
- Work with cross-functional teams to align data initiatives with business objectives.
- Provide strategic direction and technical expertise in data architecture and modeling.
- Drive the development and maintenance of data management tools and technologies.
- Conduct data assessments to identify and remediate data issues.
Requirements
- Experience with tools like Informatica, Cognos, etc.
- Knowledge of ETL processes and data integration.
- Experience with data quality management.
- Understanding of data governance frameworks.
- Knowledge of data architecture and modeling.
- Proficiency in SQL and other database management systems.
- Experience with SAS, Cognos, AI, and machine learning concepts.
Key Responsibilities
- Design, implement, and manage robust data management frameworks and practices.
- Oversee data quality management to ensure accuracy, consistency, and reliability.
- Develop and implement data governance policies and procedures for compliance.
- Manage data integration processes including ETL development.
- Develop automation scripts for testing and remediating data issues.
- Work with cross-functional teams to align data initiatives with business objectives.
- Provide strategic direction and technical expertise in data architecture and modeling.
- Drive the development and maintenance of data management tools and technologies.
- Conduct data assessments to identify and remediate data issues.
Skills Required
ETLData IntegrationData Quality ManagementData GovernanceData ArchitectureData ModelingSQLDatabase Management SystemsInformaticaCognosSASMachine LearningStrategic DirectionCross-functional Collaboration
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