Data Governance, Data Quality, Data Management- Banking

VAM Systems
Doha
Workplace: OnsiteFull timeFunction: Quality & Regulatory (Non-Software)Experience: 8-12 yearsEducation: bachelorsSkills: ["Stakeholder engagement","Accountability","Cross-functional collaboration","Governance awareness","Issue resolution"]

Own enterprise data quality and governance for banking operations by developing frameworks, standards, controls, KPIs/KRIs, and reporting. Define and monitor data quality rules for critical data elements, run issue management with root-cause analysis and remediation tracking, and oversee controls for regulatory and risk reporting. Partner across Data Owners, IT, Risk, Finance, Compliance, and AI governance teams to improve data quality maturity across the Group.

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VAM Systems
VAM Systems
3 days ago

Data Governance, Data Quality, Data Management- Banking

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Job Summary

Own enterprise data quality and governance for banking operations by developing frameworks, standards, controls, KPIs/KRIs, and reporting. Define and monitor data quality rules for critical data elements, run issue management with root-cause analysis and remediation tracking, and oversee controls for regulatory and risk reporting. Partner across Data Owners, IT, Risk, Finance, Compliance, and AI governance teams to improve data quality maturity across the Group.
Location: Doha
Workplace: Onsite
Employment Type: Full time
Job Function: Quality & Regulatory (Non-Software)
Seniority: Sr. Manager level

Key Responsibilities

  • •Develop, maintain, and enhance data quality frameworks, standards, procedures, methodologies, and the operating model.
  • •Define and oversee data quality rules (accuracy, completeness, consistency, validity, timeliness, uniqueness, integrity) and monitor critical data elements performance.
  • •Lead enterprise data quality issue management, including identification, impact assessment, root-cause analysis, remediation tracking, and closure validation.
  • •Oversee data quality controls supporting regulatory, financial, risk, compliance, and management reporting, including coordination across Risk, Finance, Compliance, and Business units.
  • •Ensure data used in AI and advanced analytics meets approved quality standards and collaborate with AI governance teams to manage data quality risks.

Key Requirements

  • •Bachelor’s degree in Information Management, Computer Science, Data Analytics, Business Administration, or a related field.
  • •8-12 years of experience in data governance, data quality, data management, risk data management, regulatory reporting, or related domains.
  • •Experience in banking, financial services, or other highly regulated industries.
  • •Strong knowledge of data quality management, data governance, data lineage, metadata management, reference data, and master data management.
  • •Experience with data governance and data quality platforms such as Informatica, Collibra, Microsoft Purview, ABACUS, or equivalent solutions.
Experience:8-12 yearsBankingFinancial servicesData governanceData qualityRegulated industries
Education:Bachelor's in Information Management, Computer Science, Data Analytics, Business Administration
Skills:Stakeholder engagementAccountabilityCross-functional collaborationGovernance awarenessIssue resolution
Languages:English
Tech Stack:InformaticaCollibraMicrosoft PurviewABACUSDashboardsScorecardsKPIsKRIs

Company Brief

VAM Systems
Provides product engineering and software development services across embedded systems, IoT, cloud, AI, and digital transformation for enterprises in automotive, healthcare, industrial, and consumer electronics sectors.
Industry: Professional Services
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