
1001 - 5000 employees
Founded 1967
🏦 Banking
💸 Finance
💳 Fintech
Banking • Finance • Fintech
Mashreq is a leading financial institution based in the UAE, offering a wide range of banking services including personal, corporate, and investment banking. The bank focuses on providing innovative financial solutions to its customers and has a strong digital banking presence.
🕒 February 11
Improve your chances of getting an interview by checking your resume score before you apply.

1001 - 5000 employees
Founded 1967
🏦 Banking
💸 Finance
💳 Fintech
Banking • Finance • Fintech
Mashreq is a leading financial institution based in the UAE, offering a wide range of banking services including personal, corporate, and investment banking. The bank focuses on providing innovative financial solutions to its customers and has a strong digital banking presence.
• Define and implement data quality policies, standards, and procedures aligned with the bank’s data governance framework. • Collaborate with business and technology teams to define critical data elements (CDEs) and establish data quality rules. • Drive data quality improvement initiatives across retail, corporate, international, treasury business areas and support and control functions. • Ensure compliance with regulatory requirements and industry best practices for data quality. • Design and implement data quality measurement frameworks, including key data quality metrics (accuracy, completeness, timeliness, consistency, and validity). • Lead the development of data quality dashboards and reports to track data quality trends and issues. • Identify, assess, and remediate data quality issues through root cause analysis and corrective action plans. • Work with technology teams to implement automated data quality controls and monitoring solutions. • Act as a subject matter expert (SME) for data quality across business functions, risk, finance, compliance, and technology teams. • Partner with data stewards, data owners, and data engineers to enforce data quality standards. • Support business teams in embedding data quality requirements into operational processes. • Conduct training and awareness sessions on data quality best practices. • Collaborate with technology teams to integrate data quality tools into the bank’s data architecture. • Leverage AI/ML-driven data quality solutions to enhance data profiling and anomaly detection. • Evaluate and recommend new data quality tools and technologies.
• Bachelor's degree in Computer Science, Information Systems, Finance, or a related field. A Master's degree is preferred. • Minimum of 10 years of experience in data governance & Data quality management within the Banking & Financial services industry with overall experience of 14+ yrs in banking and data. • Strong understanding of banking processes, systems, and regulatory requirements. • Strong knowledge of DAMA DMBOK, BCBS 239, GDPR, and other regulatory requirements related to data quality. • Excellent communication and interpersonal skills, with the ability to effectively communicate complex data concepts to non-technical stakeholders. • Experience in Data quality tools and technologies preferably Informatica Data Engineering Quality (DEQ), Enterprise Data Catalog, AXON etc., • Experience and working knowledge on tools used for Data analytics and dashboard reporting preferably, Power BI, Qlik. • Should have managed successful execution of minimum 2-3 large engagements into production go live with good project oversight and decision-making skills. • Hands on experience analyzing data and solving complex queries using SQL, python. • Proficient in Data Management and Data Governance concepts preferably within Banking industry. • Strong analytical and problem-solving abilities. • Self-starter and should be good at taking initiatives and be able to maintain strong relationships with stake holders.
Apply Now