Head of Data Management

Bank ABC seeks to recruit a Head of Data Management in the Group Information Technology Department based in our Head Office, in Bahrain.

The Head of Data Management will be responsible for managing the strategic, governance, and technical aspects of data management within the Bank. This role involves overseeing data integration, data quality, and data management to ensure data integrity, security, and availability.

The job holder is responsible for defining, managing, and controlling master data and metadata management policies, controls, and standards. The Head of Data Management will work closely with the GCITO and other stakeholders to support the wider technology strategy and support the respective data needs (e.g., analytics, data science, and data monetization) of the business and support functions.

Areas of Knowledge, Qualification and Experience

• 14+ years of technology, digital or data experience
• 5+ years in data management roles
• At least 5 years in a managerial and leadership role
• Bachelor's degree or advanced degree in Data Analytics, Data Science, Information Management, or related field.
• Professional certifications in data management, data governance (e.g., Certified Data Management Professional (CDMP), Certified Data Governance Professional (DGSP)) will be highly desirable
• Proven track record of developing and implementing data management strategies.
• Extensive experience in data management, data governance, data architecture, and data integration.
• Strong experience with data governance frameworks (e.g., DAMA-DMBOK), DCAM) and the ability to establish data governance policies and procedures.
• Mastery in data modeling techniques, including conceptual, logical and physical data models
• Proficiency in data quality frameworks (e.g., Six Sigma, Total Data Quality Management (TDQM)) and the ability to develop and enforce data quality standards and procedures.
• Strong experience in data integration, ETL processes, and data management platforms and tools.
• Strong knowledge of cloud computing technologies and implementing cloud-based solutions and services for data management.
• Knowledge of Data WareHousing, Data Lake, Data LakeHouse , and Data Mesh architectures and techniques
• Strong knowledge of data lake architectures and experience in managing and integrating data lakes using platforms like AWS and Azure.
• Knowledge of API management and integration, facilitating data exchange between internal systems and external data sources.
• Knowledge of data visualization and reporting tools (e.g., Power BI).
• Understanding of machine learning an