IT Data Management and Analytics Manager

Gulf International Bank; Al Khobar; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading financial institution is seeking an IT Data Management and Analytics Manager in Al Khobar. This role involves overseeing the company's data infrastructure, ensuring data quality, and managing analytics capabilities. The ideal candidate will lead a team and align data strategy with business objectives, while keeping up with emerging trends in the data management field.

Qualifications

• Experience managing data infrastructure and teams.
• Strong knowledge of data governance and data quality.
• Proven analytical skills in data visualization and predictive analysis.

Responsibilities

• Oversee data management policies and ensure quality across applications.
• Develop data integration and warehousing strategies aligned with business goals.
• Manage analytics capabilities, including team development and emerging tech integration.

Skills

Data management

Data analysis

Predictive analytics

Data governance

Team management

Machine learning

Job description

Job Purpose

The IT Data Management and Analytics Manager will be responsible for managing and maintaining the company's data infrastructure, including databases, data warehouses, and data lakes, to ensure scalability, flexibility, and resilience. The incumbent will also be responsible for data consumption layers such as analytics as well as ensuring the accuracy, completeness, and reliability of data used in business decision-making processes.

Key Accountabilities

1. Implement and operationalize data management policies and procedures to ensure data consistency, quality, and accuracy across the bank's systems and applications.

2. Collaborate with business units to understand their data needs and provide solutions that meet those needs, while also aligning with the bank's overall data strategy.

3. Manage and oversee the bank’s data analytics capabilities, including data visualization, predictive analytics, and machine learning, to support the bank's business objectives.

4. Implement and operationalize the data quality and data governance processes that promote data consistency, quality, and accuracy across the bank's systems and applications.

5. Develop and implement a data integration and data warehousing strategy that supports the bank's business objectives and enables effective data management and analytics.

6. Develop and maintain the data modelling strategy ensuring alignment with the bank's data strategy and supports the bank's business objectives.

7. Manage and maintain the company's data infrastructure, including databases, data warehouses, and data lakes, to ensure scalability, flexibility, and resilience.

8. Develop and manage a team of data analysts, data scientists, and data engineers to support the bank's data management and analytics capabilities.

9. Stay up to date with emerging technologies and trends in data management and analytics to ensure the bank's data capabilities remain competitive and innovative.