Data Quality Lead

Position Overview

Data Profiling & Analysis

• Profile datasets across multiple systems to identify and quantify data quality issues such as duplicates, missing values, gaps, and inconsistencies.
• Analyze root causes of data quality problems and propose remediation approaches.
• Provide clear data quality assessments and reports.

Data Quality Rules & Standards

• Design and implement de-duplication, standardisation, validation, and enrichment rules.
• Define and document what constitutes a “clean record” for each data domain.
• Establish and maintain data quality standards and control mechanisms.

Golden Record & Master Data Quality

• Define “Golden Record” criteria for each data domain.
• Support master data management (MDM) processes including matching, merging, and survivorship rules.
• Ensure consistency of master data across systems and business units.

Monitoring & KPIs

• Build and maintain data quality dashboards, scorecards, and KPIs.
• Monitor ongoing data quality performance and highlight trends and risks.
• Report results and recommendations to program leadership.

Stewardship & Quality Assurance

• Guide and support client data stewards in executing data cleansing activities.
• Review outputs of data cleanup processes and ensure adherence to defined standards.
• Provide quality assurance checks and continuous improvement recommendations.

Candidate Profile Experience & Background

• Background in Data Quality, Data Analysis, Data Governance, or similar roles.
• Strong hands-on experience with data profiling, cleansing, or deduplication initiatives.
• Experience working with MDM tools or large-scale data environments is highly desirable.

Technical Skills

• Strong SQL skills and ability to analyze large datasets.
• Practical experience in data profiling and data validation techniques.
• Familiarity with data quality tools, MDM platforms, or data integration systems.
• Ability to design data quality rules and monitoring frameworks.

& Competencies

• Highly detail-oriented with strong analytical thinking.
• Ability to define structured and scalable data quality processes.
• Strong communication skills to work with both technical teams and business stakeholders.
• Ability to guide and review work performed by data stewards.

Language Requirements

• Fluent in English.
• Arabic is highly beneficial for validating and working with Arabic-language records and datasets.
• Ability to commute/relocate:
• Abu Dhabi: Reliably commute or planning to relocate before starting work (Preferred)

Education

• Bachelor's (Preferred)

Experience

• Data Quality Lead: 4 years (Required)

Language

• English (Required)
• Arabic (Required)
• Willingness to travel:
• 75% (Preferred)