AI Data Manager-ETL

leading-edge; Lahore; On-site; PKR 16,616,000 - 24,924,000; Full time

Job summary

leading-edge is seeking a skilled AI Data Manager to join the AI & Data team in Bahrain with frequent travel to GCC. The role focuses on data management, governance, quality, and lifecycle management to enable clients to leverage data assets.

The ideal candidate will design and implement data frameworks, oversee data quality, and drive data integration across systems using ETL and automation.

Qualifications

• Experience in designing and implementing data management frameworks.
• Strong knowledge of data governance policies and regulatory compliance.
• Proficiency in data architecture and modeling for enterprise data platforms.
• Hands-on experience with SQL and database management systems.

Responsibilities

• Design, implement, and manage robust data management frameworks across client environments.
• Oversee data quality management ensuring accuracy and reliability across systems.
• Develop and implement data governance policies and procedures to ensure compliance.
• Manage data integration processes including ETL development for seamless data flow.
• Create automation scripts for testing and remediation of data issues to maintain quality.

Skills

Data management

Data governance

Data architecture

Data modeling

SQL

ETL processes

AI concepts

Machine learning concepts

Tools

Informatica

Cognos

SAS

ETL development

Job description

Job Title : AI Data Manager
Location: 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.