Key Duties & Responsibilities:

Data Infrastructure & Platform Management

• Manage the bank’s data warehouse, data lakes, and analytics platforms.
• Ensure data systems are reliable, scalable, and secure.
• Oversee integration of core banking, digital channels, CRM, and other systems into centralized data repositories.
• Monitor data pipelines, ETL processes, and system performance.

Analytics Tools & Applications

• Administer BI and analytics tools (e.g., Power BI, Tableau, SAS, SQL-based platforms).
• Provide technical support for dashboards, reports, and advanced analytics models.
• Implement role-based access and ensure secure use of analytics platforms.
• Optimize performance of analytics queries and reporting systems.

Data Governance & Compliance

• Enforce data quality, consistency, and governance policies across IT systems.
• Ensure compliance with Data Protection Act 2019, CBK reporting requirements, and international standards (e.g., GDPR).
• Collaborate with Compliance and Risk teams to ensure regulatory reports are accurate and timely.
• Maintain metadata, data dictionaries, and master data management practices.

Business Support & Collaboration

• Partner with business units (Finance, Risk, Marketing, Operations) to translate business requirements into IT-driven data solutions.
• Support advanced analytics use cases, including fraud detection, risk modeling, and customer segmentation.
• Provide data extracts and reports for audits, compliance, and management decision-making.
• Train business users on the use of analytics tools and self-service reporting.

Innovation & Continuous Improvement

• Explore emerging technologies such as AI, ML, and automation to improve analytics capability.
• Propose enhancements to data architecture to improve efficiency and accuracy.
• Lead projects for data platform upgrades, migrations, or new analytics implementations.

Other Requirements

Qualifications & Experience:

• Bachelor’s degree in Information Technology, Computer Science, Data Engineering, or related field.
• Master’s degree in Data Science, IT Management, or Business Analytics is an added advantage.
• Professional certifications such as Microsoft Data Engineer, CDMP, SAS, or SQL/BI certifications.
• Minimum of 7 years in IT data management, BI, or analytics roles, with at least 3 years in management.
• Experience supporting analytics in a financial services environment.