Data Quality Officer job at Standard Bank

Job Overview

Business Segment: Personal & Private Banking

Location: UG, Central Region, Kampala, Nakasero Road

Job Type: Full-time

Job Ref ID: 80368881A-0001

Date Posted: 1/5/2026

Job Description

To ensure integrity, accuracy, and compliance of organizational data by implementing robust data governance frameworks, monitoring data quality, and driving remediation initiatives. Provide support in ensuring that the data quality and reporting strategy is executed, providing an accurate depiction of the data quality landscape while driving a data driven culture.

Qualification:

Degree in; Information Technology/Computer Science/Business Statistics.

Experience Required, 2 - 4 years;

In information Lifecycle Management - Basic data management experience with knowledge of data quality. Basic knowledge of systems and processes in a financial services environment.

Exposure to Data tools i.e; Power BI, SQL, and Python for data analysis, visualization, and Power Automate or similar tools for workflow automation.

Exposure to AI concepts and LLMs is an added advantage.

Additional Information

Behavioural Competencies:

• Excellent communication and presentation skills for training and stakeholder engagement.
• Examining Information
• Exploring Possibilities/Creative
• Interpreting Data
• Upholding Standards

Technical Competencies:

• Data Architecture Principles
• Data Integrity Concepts
• Data Management (Administration)
• Strong understanding of data governance frameworks, data quality dimensions, and regulatory compliance in financial services.
• Proficiency in Data tools i.e; Power BI, SQL, Python for data analysis, visualization, and Power Automate or similar tools for workflow automation

• Ensure integrity, accuracy, and compliance of organizational data by implementing robust data governance frameworks, monitoring data quality, and driving remediation initiatives.
• Provide support in ensuring that the data quality and reporting strategy is executed, providing an accurate depiction of the data quality landscape while driving a data driven culture.

• Excellent communication and presentation skills for training and stakeholder engagement.
• Examining Information
• Exploring Possibilities/Creative
• Interpreting Data
• Upholding Standards
• Data Architecture Pinciples
• Data Integrity Concepts
• Data Management (Administration)
• Strong understanding of data governance frameworks, data quality dimensions, and regulatory compliance in financial services.
• Proficiency in Data tools i.e; Power BI, SQL, Python for data analysis, visualization, and Power Automate or similar tools for workflow automation

• Degree in; Information Technology/Computer Science/Business Statistics.
• In information Lifecycle Management - Basic data management experience with knowledge of data quality.
• Basic knowledge of systems and processes in a financial services environment.
• Exposure to Data tools i.e; Power BI, SQL, and Python for data analysis, visualization, and Power Automate or similar tools for workflow automation.
• Exposure to AI concepts and LLMs is an added advantage.