Data Governance and Quality Lead

Linnk Group; Doha; On-site; QAR 240,000 - 360,000; Full time

Job summary

Linnk Group in Doha, Qatar seeks an experienced Data Quality Lead to establish and oversee the enterprise-wide Data Quality Management Framework, ensuring data accuracy, completeness, consistency, timeliness, and fitness for purpose across regulatory, risk, finance, analytics, and AI functions.

The role requires 8–12 years in Data Governance or related areas, with banking/financial services exposure; proficiency with data governance platforms such as Informatica, Collibra, Microsoft Purview;

Qualifications

• 8–12 years of experience in Data Governance, Data Quality, Data Management, Risk Data Management, Regulatory Reporting, or related areas.
• Mandatory experience in Banking, Financial Services, or another highly regulated industry.
• Strong knowledge of Data Quality Management, Data Governance, Data Lineage, Metadata Management, Reference Data, and Master Data Management (MDM).
• Experience with Informatica, Collibra, Microsoft Purview, ABACUS, or equivalent Data Governance/Data Quality platforms.
• Strong stakeholder management, analytical, problem-solving, and communication skills.
• Exposure to regulatory reporting, risk data, audits, and AI/ML data quality is preferred

Responsibilities

• Develop and maintain the Data Quality Framework, standards, procedures, controls, KPIs, KRIs, and scorecards.
• Define and monitor data quality rules covering accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity.
• Establish data quality standards for Critical Data Elements (CDEs) and provide dashboards and management reporting.
• Lead Data Quality Issue Management, including impact assessment, root cause analysis, remediation tracking, validation, and escalation.
• Oversee data quality for regulatory, financial, risk, compliance, and management reporting, including audit and regulatory reviews.
• Ensure data used for AI, ML, and advanced analytics meets required quality standards.
• Collaborate with Data Owners, Data Stewards, IT, Risk, Compliance, Finance, Operations, and Business teams.
• Ensure alignment with Data Governance, Data Management policies,

Skills

Stakeholder management

Analytical skills

Problem-solving

Communication skills

Education

Bachelor’s degree in related field

Tools

Informatica

Collibra

Microsoft Purview

ABACUS

Job description

We are seeking an experienced Data Quality Lead to establish and oversee the enterprise-wide Data Quality Management Framework, ensuring data is accurate, complete, consistent, timely, and fit for purpose across business, regulatory, risk, finance, analytics, and AI functions.

Job Title: Data Quality Lead

Contract: Yearly Renewable

Key Responsibilities

• Develop and maintain the Data Quality Framework, standards, procedures, controls, KPIs, KRIs, and scorecards.
• Define and monitor data quality rules covering accuracy, completeness, consistency, validity, timeliness, uniqueness, and integrity.
• Establish data quality standards for Critical Data Elements (CDEs) and provide dashboards and management reporting.
• Lead Data Quality Issue Management, including impact assessment, root cause analysis, remediation tracking, validation, and escalation.
• Oversee data quality for regulatory, financial, risk, compliance, and management reporting, including audit and regulatory reviews.
• Ensure data used for AI, ML, and advanced analytics meets required quality standards.
• Collaborate with Data Owners, Data Stewards, IT, Risk, Compliance, Finance, Operations, and Business teams.
• Ensure alignment with Data Governance, Data Management policies,

Qualifications & Experience

• Bachelor’s degree in computer science, Data Analytics, Information Management, Business Administration, or related field.
• 8–12 years of experience in Data Governance, Data Quality, Data Management, Risk Data Management, Regulatory Reporting, or related areas.
• Mandatory experience in Banking, Financial Services, or another highly regulated industry.
• Strong knowledge of Data Quality Management, Data Governance, Data Lineage, Metadata Management, Reference Data, and Master Data Management (MDM).
• Experience with Informatica, Collibra, Microsoft Purview, ABACUS, or equivalent Data Governance/Data Quality platforms.
• Strong stakeholder management, analytical, problem-solving, and communication skills.
• Exposure to regulatory reporting, risk data, audits, and AI/ML data quality is preferred