Data Quality / Data Governance specialist - Banking

Job Description

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)