797 Data Quality Management jobs in the United Arab Emirates

The purpose of this role is to lead on the monitoring and improvement of our global Service Line SL Platform data quality consistency and completeness. Supporting and collaborating with markets to manage and analyse SL related master data information such as clients products campaigns and suppliers.
Globally and regionally identifying measuring governing and reporting on data quality that supports our Service Line Operations team to drive actionable improvement in conjunction with Market SL COOs peers and team members cleanse govern and enhance data quality.
Supporting dentsu to build data quality awareness considering consistency completeness accuracy auditability and timeliness of the data quality to highlight a few key metrics.

Job Description:

Key responsibilities:
Is familiar with the overall dentsu strategy transformation roadmap and how Service Line technology advancements enable a new way of working and delivery of Service Line
Understands the onboarding process with respect to clients products intercompany and suppliers and the various parties involved in the endtoend onboarding process
Assists in the development of data definitions and business rules
Implements policies and procedures for the daytoday operational and administrative management of systems and data
Establishes procedures for detection and correction of dataquality issues and collaborate to establish policies procedures and internal controls affecting the quality of data
Offers evaluates and implements recommendations to enhance workflows and increase efficiency
Develops a deep understanding of the Service Line technology landscape including the data flows involving the local Service Line systems D365 other corporate systems and global onboarding solutions to be able to critically assess the operational and business change required to realise the value from our investments
Conducts periodic reviews with our market and functional teams to identify inaccurate or legacy data and take the required actions to deactivate/eliminate/rectify master records so as to avoid financial implications
Works with Global MDM team to share insights/inputs based on the discussions and analysis around master data collected at local/regional level
Supports data entry and input into our Service Line platform to ensure and appropriately QA data quality from the start

Location:

Brand:

Time Type:

Contract Type:

Required Experience:

Manager

The purpose of this role is to lead on the monitoring and improvement of our global Service Line SL Platform data quality consistency and completeness. Supporting and collaborating with markets to manage and analyse SL related master data information such as clients products campaigns and suppliers.
Globally and regionally identifying measuring governing and reporting on data quality that supports our Service Line Operations team to drive actionable improvement in conjunction with Market SL COOs peers and team members cleanse govern and enhance data quality.
Supporting dentsu to build data quality awareness considering consistency completeness accuracy auditability and timeliness of the data quality to highlight a few key metrics.

Job Description:

Key responsibilities:
Is familiar with the overall dentsu strategy transformation roadmap and how Service Line technology advancements enable a new way of working and delivery of Service Line
Understands the onboarding process with respect to clients products intercompany and suppliers and the various parties involved in the endtoend onboarding process
Assists in the development of data definitions and business rules
Implements policies and procedures for the daytoday operational and administrative management of systems and data
Establishes procedures for detection and correction of dataquality issues and collaborate to establish policies procedures and internal controls affecting the quality of data
Offers evaluates and implements recommendations to enhance workflows and increase efficiency
Develops a deep understanding of the Service Line technology landscape including the data flows involving the local Service Line systems D365 other corporate systems and global onboarding solutions to be able to critically assess the operational and business change required to realise the value from our investments
Conducts periodic reviews with our market and functional teams to identify inaccurate or legacy data and take the required actions to deactivate/eliminate/rectify master records so as to avoid financial implications
Works with Global MDM team to share insights/inputs based on the discussions and analysis around master data collected at local/regional level
Supports data entry and input into our Service Line platform to ensure and appropriately QA data quality from the start

Location:

Brand:

Time Type:

Contract Type:

Required Experience:

Manager

We are a purpose-driven organization that harnesses the power of data and technology to drive positive change. Our mission is to empower businesses through cutting-edge solutions and exceptional services.

As leaders in data and technology, we thrive on making meaningful impacts on society. Our collaborative spirit and creative thinking deliver optimal and trustworthy solutions.

Honesty, trust, and empathy form the foundation of our business language. We value teamwork, adaptability, and innovative data solutions to bridge business needs.

The Master Data Management Lead will be responsible for defining dimensional databases, assisting in data standards, and ensuring data integrity. Key responsibilities include experience in ETL processes, advanced SQL skills, requirements gathering, and data modeling concepts.

• Expertise in Master Data Management, including Meta-Data Management, Data Migration, Data Security, and Data Transformation/Conversion
• Experience in ETL processes and advanced SQL skills
• Intermediate Requirements Gathering/Elicitation, Documentation, and Source to Target mapping skills
• Working knowledge of Conceptual, Logical, and Physical Data Modeling concepts as well as Database design concepts
• Practical experience working in an Agile Methodology

Bachelor's or master's degree in computer science, Information Technology, or a related field required. Proven experience in data quality management with at least 8 years of leadership experience.

The role of Product Data Management Onboarding Specialist is pivotal in ensuring the integrity and accuracy of product master data within the organisation. This includes creating and maintaining product records in alignment with company standards, classifying products using customs/HS codes, preparing and analysing data for quality assurance, and offering processoriented advice to colleagues across various business units.

As a key bridge between operational teams and master data, the specialist must have a keen eye for detail and a strong understanding of data processes and compliance. Additionally, the role involves evaluating current workflows, identifying areas for improvement, and proposing enhancements to optimise data management processes.

With an analytical mindset, the specialist will act as a critical bridge between operational teams and master data, ensuring that any new data adheres to quality and consistency standards. Collaboration is also key, as the role requires regular engagement with internal stakeholders to support their data needs while working independently to meet deadlines and priorities effectively.

Key Responsibilities

• Create and maintain product master data in alignment with company standards.
• Evaluate current processes and identify areas for improvement.
• Perform taskrelated duties including but not limited to:
• Managing product items across all segments including customs/HS code classification and product knowledge.
• Preparing and analysing product data to ensure quality and consistency.
• Supporting and consulting with business units and teams regarding master data processes.

Qualifications

• Bachelors degree (preferred in Business Administration Supply Chain Management or related field).
• Proven experience in administrative or backoffice roles.
• Strong analytical and problemsolving skills.
• Excellent written and verbal communication skills.
• Processoriented mindset with high attention to detail.
• Adaptability to shifting priorities and deadlines.
• Organizational skills with the ability to prioritise tasks effectively.
• Proficiency in Microsoft Office particularly Excel and Outlook.
• Ability to work independently with minimal supervision and collaboratively within a team.

Benefits

• Competitive salary fitting your experience along with discretionary annual performancebased bonus.
• Company sponsored visa along with health insurance.
• Leave benefits as per UAE labour law.
• Annual return air ticket to your home country.
• Opportunity for professional growth and development.
• Dynamic and collaborative work environment.
• Being part of a leading International trading company with global presence.

Remote Work

No

Employment Type

Fulltime

Senior Data Quality Analyst – Capgemini

About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology, and engineering services. With a presence in over 50 countries and a strong heritage of innovation, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Our collaborative approach and a people-centric work culture have made us a partner of choice for clients across industries.

Role Overview

We are seeking a highly skilled Senior Data Quality Analyst with a robust background in designing, implementing, and maintaining data quality frameworks leveraging Python or Collibra. The ideal candidate will be adept at ensuring data accuracy, consistency, completeness, and reliability across large-scale cloud-based platforms, especially within Azure Databricks environments. This role requires expertise in automated data quality assurance, a deep understanding of data governance, and hands-on experience integrating quality controls into modern data pipelines.

The Senior Data Quality Analyst will be embedded within an agile squad dedicated to a specific business mission while contributing to a broader program comprising 4 to 8 interconnected squads. Collaboration, technical leadership, and a continuous improvement mindset are essential as you work cross-functionally to elevate the organization's data quality standards.

Key Responsibilities

1. Development & Integration

• Design, develop, and implement automated data quality checks using Python scripts and libraries or Collibra Data Quality components.
• Integrate data quality validation logic within existing ETL/ELT pipelines operating on Azure Databricks, ensuring quality gates are consistently enforced across all data flows.
• Develop and maintain reusable Python modules that perform anomaly detection, schema validation, and rule-based data quality checks to enable rapid scaling of quality coverage.
• Collaborate with data engineering teams to embed continuous quality controls throughout the data ingestion, transformation, and consumption lifecycle.
• Support the deployment and management of Collibra-based data quality solutions to automate governance workflows and stewardship activities.

2. Data Quality Management

• Define, measure, and rigorously enforce data quality metrics, thresholds, and Service Level Agreements (SLAs) tailored to business-critical datasets.
• Utilize Collibra to manage and operationalize data governance workflows, maintain business glossaries, and delineate stewardship responsibilities.
• Monitor the integrity of data pipelines for completeness, accuracy, timeliness, and consistency across distributed and cloud-native environments.
• Conduct detailed root cause analyses for complex data quality issues, collaborating with engineers and domain experts to drive permanent remediation and prevention strategies.
• Implement and continuously refine monitoring frameworks, utilizing dashboards and alerting systems (built using Python and Collibra integrations) for real-time visibility into key data quality indicators.

3. Support & Operations

• Act as a Level 2/3 escalation point for data quality incidents, troubleshooting issues and coordinating with other agile squads and technical teams for rapid resolution.
• Work closely with product owners, business analysts, and key stakeholders to understand evolving data requirements and ensure quality expectations are aligned and met.
• Maintain and optimize operational dashboards for ongoing data quality monitoring, leveraging both Python-based and Collibra-integrated solutions.
• Participate actively in agile ceremonies, including sprint planning, daily standups, reviews, and retrospectives, contributing to squad goals and continuous delivery improvements.

4. Governance & Best Practices

• Establish, document, and evangelize data quality standards, validation frameworks, and best practices across squads and the broader data organization.
• Maintain comprehensive documentation on validation rules, automated test cases, and quality assurance procedures, ensuring transparency and repeatability.
• Mentor, coach, and upskill junior data engineers and analysts in data quality concepts, tools, and processes to foster a quality-first culture.
• Ensure strict compliance with data governance, privacy, and security policies by leveraging Collibra's governance and stewardship frameworks.
• Continuously assess emerging technologies, tools, and methodologies for potential enhancement of the data quality ecosystem.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Management, Information Systems, or a closely related field.
• Years of progressive experience in data quality engineering, data management, or related data roles within complex technology environments.
• Demonstrable expertise in Python, including the development of reusable data quality and validation libraries.
• Extensive hands-on experience with Azure Databricks, including cloud-native data processing, ETL/ELT orchestration, and distributed computing concepts.
• Proficiency with Collibra Data Quality platform or equivalent data governance and stewardship tools.
• Strong track record working in agile environments, participating in cross-functional teams, and adapting to rapidly evolving project requirements.
• Excellent analytical, problem-solving, and communication skills, with the ability to convey complex technical topics to both technical and non-technical audiences.

Preferred Certifications (One or More)

• Databricks Certified Data Engineer Associate or Professional
• Microsoft Certified: Azure Data Engineer Associate
• Python Institute Certifications (PCAP, PCPP)
• Collibra Ranger or Collibra Data Quality Steward Certifications

Key Skills & Competencies

• Deep understanding of data quality frameworks, methodologies, and industry best practices
• Hands-on experience building automated data quality tests using Python, PySpark, or similar open-source libraries
• Expertise in designing quality validation steps within ETL/ELT data pipelines for large volumes of structured and semi-structured data
• Familiarity with cloud data ecosystems, especially Azure and Databricks
• Proven ability to operationalize and scale data governance using Collibra or comparable tools
• Experience with dashboarding, data visualization, and monitoring tools for real-time data quality tracking
• Strong collaboration, leadership, and mentoring abilities within agile squads or matrix teams
• Knowledge of data privacy, security, and regulatory compliance requirements
• Ability to drive innovation and continuous improvement in data quality processes

What We Offer

• Opportunity to work on cutting-edge data platforms and technologies in a global, multicultural environment
• Collaborative and agile work culture with empowering career growth opportunities
• Competitive remuneration, benefits, and professional certification support
• Access to Capgemini's global learning platforms, mentorship programs, and technology communities
• Exposure to high-impact projects with Fortune 500 clients

Job Title: Data Governance Expert

We are seeking a highly skilled professional to lead our data management initiatives.

Key Responsibilities:

• Design and implement robust data governance frameworks.
• Develop and maintain high-quality metadata management systems.
• Collaborate with cross-functional teams to align data strategy with business objectives.
• Provide guidance on data lineage, stewardship practices, and compliance requirements.

Requirements:

• 7-12 years of overall experience in data management.
• 3 years of hands-on experience with Informatica IDMC.
• 5 years in Data Quality and Governance.
• Experience working with data lakes and modern data architectures.

Preferred Qualifications:

• Familiarity with cloud-based data platforms.
• Strong understanding of data security and compliance regulations.
• Ability to work in a fast-paced environment and adapt to changing priorities.

About the Role:

This is an excellent opportunity for a seasoned data management professional to join our team and contribute to shaping our data strategy.

What We Offer:

• A dynamic and collaborative work environment.
• Opportunities for growth and professional development.
• Competitive compensation and benefits package.

Are you a data management expert looking to leverage your technical skills in a dynamic environment?

We are seeking a seasoned Senior Associate Model Implementation professional to join our team and contribute to the development and implementation of risk models and scorecards.

This role is perfect for individuals with strong analytical skills, experience in credit risk modelling, and proficiency in statistical software such as SAS, R, or Python.

Responsibilities will include:

• Developing, validating, and monitoring risk models using advanced quantitative techniques
• Analyzing large and complex data sets to identify trends and patterns
• Collaborating with cross-functional teams to ensure data integrity and accuracy
• Communicating findings and insights effectively to stakeholders

The ideal candidate will have a minimum of 3 years of experience in handling data management projects, data science, machine learning model development within the banking and finance sector. A bachelor's degree in computer science, engineering, information systems, or a related field is required. A master's degree is preferred.

Additionally, we are looking for someone with expertise in credit risk modelling, risk analytics, and data science machine learning and artificial intelligence techniques. The ability to work independently on multiple tasks and/or projects is essential.

As a member of our team, you will be working in a fast-paced environment where no two days are the same. You will have the opportunity to collaborate with experienced professionals, develop new skills, and take on challenging projects that will help shape the future of our organization.

We offer a competitive compensation package, opportunities for career growth and professional development, and a collaborative work environment.

This is a unique opportunity to join a dynamic team and contribute to the success of our organization. If you are a motivated individual with a passion for data analysis and risk management, we encourage you to apply for this exciting role.

The organization seeks a seasoned professional to spearhead the establishment and upkeep of a Data Governance program focused on data quality. This pivotal role necessitates a candidate with exceptional leadership skills, as they will be responsible for steering the development, implementation, and ongoing evaluation of data management strategies.

This role is focused on leading the strategic direction and development of an organization's data governance program, specifically in relation to data quality.

The successful candidate will be responsible for maintaining a high level of direction and ensuring alignment with business objectives regarding how data is managed across the organization.

• Lead the development of the organizational Data Strategy as well as data management in line with strategic business objectives and company values.
• Manage and support the AVP data governance and data quality in the development and oversight of data governance framework standards, practices, policies, and processes.
• Lead the development of the Data Governance Office as a center of excellence committed to ingraining a data-driven decision-making culture across the organization, teaming with external partners and offering end-to-end data services across business and support groups.
• Lead and provide direction in the monitoring and analysis of the latest strategic technological and regulatory trends within the organization and on a global scale.
• Promote good data quality practices and the management of data as a strategic asset.

• Lead the production of information on performance and quality standards for data within the organization.
• Gather and create inputs for the management and reporting of data SLA and KPIs, including monitoring of data quality dashboards and SLA breaches, ensuring adherence to agreed SLA targets and demonstrating improvement against agreed targets.
• Lead and provide guidance and all necessary support to the AVP data governance and data quality in managing and resolving data quality issues, providing advice and guidance to all business areas.
• Advise on targets and monitoring standards with stakeholders for data entry and data collection undertaken.
• Responsible for leading/directing the development of DQ measurement/reporting/control capabilities.
• Responsible for leading/directing the development and maintenance of data quality rules.
• Responsible for leading/directing the development and maintenance of DQ profiling tools/methodologies.
• Responsible for leading the development and ongoing maintenance of data definitions, standards, lineage, and other data quality artifacts as part of the data catalog.
• Lead the development, maintenance, and management of organizational reference data.
• Provide subject matter expertise on systems/process developments to control and improve data quality.
• Lead the development of Data Quality Monitoring tools and DQ Dashboards and provide direction to subordinates.
• Support and guide the RCA team with analyzing data across applications from a Data Quality standpoint.
• Guide and provide necessary support to different Business units from a DQ point of view.

• The role requires establishing strong working relationships with all business groups and support functions of the organization at various levels to ensure continued buy-in for the Data Governance Model.

• Delivery against planned DQ roadmap activities.
• # Outstanding high criticality data issues.
• Increase in stakeholder opinion of DQ.
• Improvement in DQ for key data elements.
• Feedback from peers, management, and key stakeholders.
• Demonstrate leadership and guide/monitor subordinates on technical activities and deliveries.

Requirements:

• Degree educated with a minimum of 3 to 4 years of direct experience; 5 years overall industry experience.

• Minimum 3 to 4 years of direct experience in data-related programs, ideally in financial services.
• Experience of contributing to regulatory projects would be beneficial.
• Strong Data Governance skills; direct experience of developing Data Governance frameworks and/or performing a Data Governance Management role.
• Good operational knowledge of data quality management processes.
• Experience of collating, designing, and presenting top quality management information to senior leadership stakeholders.
• Excellent track record of delivering on strategic data initiatives.

• Good knowledge of Data Governance and Data Quality programs, frameworks, policies, and procedures.
• Experience working on strategic programs and synthesizing business requirements and priorities with existing organizational capabilities.
• Good knowledge of common DQ and dashboard tooling.
• Technical knowledge of common DQ tools and standards such as Informatica EDQ and Oracle EDQ.
• Good SQL knowledge.

• A reliable and trustworthy person able to anticipate and deal with the varying needs and concerns of numerous stakeholders, adapting personal style accordingly.
• Adaptable and knowledgeable, able to discuss a variety of data management situations with both IT and business stakeholders.

Job Type: Full-time