Data Quality / Data Governance specialist - Banking

VAM Systems; Manama; On-site; BHD 14,000 - 17,500; Full time

Job summary

A leading IT services provider in Bahrain seeks a Data Quality / Data Governance specialist with at least 5 years of experience in banking and financial services. This role involves ensuring data integrity, developing data quality frameworks, and generating insightful reports using tools like Power BI and Tableau. Ideal candidates should have a solid background in data governance processes and strong project management skills.

Qualifications

• Minimum of 5-year experience in banking or financial services.
• Expertise in data governance processes, including Master Data Management (MDM).
• Advanced skills in quantitative data analysis and data profiling.

Responsibilities

• Performed data profiling and quality assessments across different systems.
• Defined and documented Critical Data Elements (CDEs) ensuring regulatory compliance.
• Built dynamic Power BI dashboards for presenting data quality scores.

Skills

Data Governance & Management

Data Quality & Risk Mitigation

Data Quality Frameworks

Quantitative Data Analysis

Banking & Financial Data

Project Management

Organizational & Communication Skills

Cloud services: AWS

Education

Minimum bachelor’s degree in engineering, MSC in Data & Analytics, or relevant discipline

Tools

Power BI

Tableau

SQL

SAS

Oracle SQL

Job description

Overview

We are currently looking for Data Quality / Data Governance specialist for our Bahrain operations with the following skillsets & terms and conditions:

Education

• Minimum bachelor’s degree in engineering, MSC in Data & Analytics, or relevant discipline.

Experience

• Minimum of 5-year experience in banking or financial services.

Skills

• Data Governance & Management: Expertise in data governance processes, including Master Data Management (MDM), Reference Data Management, Data Profiling, and Data Quality (DQ) rules, with over 4 years of experience.
• Data Quality & Risk Mitigation: Proficient in identifying, assessing, monitoring, and mitigating Data Quality issues and risks.
• Data Quality Frameworks: Extensive experience in defining and implementing Data Quality Management Frameworks, processes, policies, and standards within business organizations.
• Quantitative Data Analysis: Advanced skills in quantitative data analysis, drawing insights from data quality reports, dashboards in Power BI and Tableau, and raw data sets using SQL, SAS, Oracle SQL.
• Banking & Financial Data: In-depth understanding of Banking and Financial products, associated data, and regulatory reporting requirements.
• Project Management: Very good understanding of project management imperatives and adherence to the processes.
• Organizational & Communication Skills: Simplifying complex information and effectively communicating it to both IT and business users.
• Cloud services: AWS services including Amazon Glue, Glue catalogue, Aws Step function, AWS Athena, and S3.

Responsibilities

• Performed data profiling and quality assessments across different departments and systems to uncover data inconsistencies, duplication, and integrity issues.
• Defined and documented Critical Data Elements (CDEs) in collaboration with business, compliance, risk, IT teams, etc. ensuring alignment with business needs and regulatory requirements.
• Partnered with stakeholders from IT, Operations, and Compliance to conduct root cause analysis of identified data quality (DQ) issues, define DQ rules, and support scalable remediation strategies.
• Contributed to the implementation of MDM and RDM solutions to ensure consistent and unified customer and financial reference data across business lines.
• Built dynamic Power BI dashboards for senior management, presenting data quality scores, issue trends, and remediation progress by business unit, with drilldowns for recurring root causes.
• Contributed to bulk data cleansing initiatives using authoritative external government datasets to validate and enrich customer and account data, enhancing quality for both regulatory and business reporting.
• Authored comprehensive Business Requirement Documents (BRDs) for data quality remediation projects.
• Initiated data cataloguing practices in Microsoft Purview, enabling improved metadata management.

Terms and conditions

• Joining time frame: 15 - 30 days