61 Data Governance Manager jobs in Riyadh

Arthur Lawrence is urgently looking for a Data Governance & Compliance Manager for a client in Riyadh, KSA. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

• Bachelor’s degree in Information Technology or a related field
• 5-8 years of proven experience in implementing data governance frameworks, including policies, procedures, and standards at both technical & functional levels
• Extensive experience in conducting regular audits to ensure compliance with regulatory requirements
• Proficiency in conducting risk assessments, mitigating data-related risks, and performing compliance audits.

Arthur Lawrence is a management and technology consulting firm providing enterprise-wide business transformation and business applications implementation services. Our in-depth technical knowledge and broad experience of working with world-class companies enable organizations to leverage our capabilities in developing winning strategies and cost-effective solutions.

We are an UN Women Empowerment Principal Signatory and are certified from the National Minority Supplier Development Council.

• Winner of Entrepreneur 360 Award (2019).
• IAOP Award; Ranked in top 100 internationally.
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America.
• Named one of the top ten fastest-growing businesses in Houston in 2016.
• Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017.

We rely on the seven core values that we believe enable us to deliver quality for our consultants and clients: Education, Integrity, Value Creation, Collaboration, Best Client, Best People, and Stewardship.

Through strict adherence to these core values, we have achieved success beyond all documented forecasts and expectations.

• Develop and lead the implementation of enterprise-level data quality standards, policies, and procedures.
• Oversee data quality assessments, audits, and profiling to identify issues, root causes, and improvement opportunities.
• Collaborate with data stewards, data architects, and business stakeholders to establish data quality metrics and KPIs.
• Design and implement robust data cleansing, enrichment, and validation strategies across diverse data sources and platforms.
• Monitor and report on data quality performance, ensuring transparency and accountability throughout the organization.
• Evaluate and integrate data quality tools, technologies, and automation solutions to enhance efficiency and accuracy.
• Provide expert guidance and training to teams on data quality best practices, methodologies, and regulatory compliance.
• Lead cross-functional initiatives to address complex data quality challenges and drive continuous improvement.
• Ensure alignment of data quality efforts with overall data governance and business objectives.
• Stay current with industry trends, emerging technologies, and evolving regulatory requirements to maintain excellence in data quality practices.

• Data Quality Frameworks and Standards: Deep understanding of frameworks for data quality assessment, monitoring, and improvement.
• Data Profiling and Assessment Tools: Proficiency with data profiling, auditing, and lineage tracking tools (e.g., Collibra, Informatica Data Quality).
• Root Cause Analysis: Ability to identify, analyze, and resolve underlying causes of data quality issues.
• Data Cleansing and Enrichment: Expertise in designing and implementing data cleansing, standardization, and enrichment processes.
• SQL and Scripting Languages: Strong command of SQL and possibly Python or R to query, analyze, and transform data.
• Data Governance and Compliance: Familiarity with governance frameworks, regulatory standards (e.g., GDPR, CCPA), and compliance best practices.
• ETL/ELT Processes: Experience with ETL/ELT tools and techniques to integrate and maintain data quality in data pipelines.
• Performance Measurement: Skill in defining and tracking data quality metrics, KPIs, and performance dashboards.
• Communication and Collaboration: Excellent communication and interpersonal skills to work effectively with stakeholders, data stewards, and technical teams.
• Continuous Improvement Mindset: Commitment to staying updated with industry trends, best practices, and emerging technologies to continually enhance data quality initiatives.

Data Quality Tools: Proficiency with industry-standard data quality and profiling tools (e.g., Informatica Data Quality, Talend Data Quality, Collibra).

SQL and Database Querying: Advanced SQL skills to query databases, identify anomalies, and perform complex data transformations.

Scripting and Programming: Familiarity with scripting languages (e.g., Python, R) for data cleansing, enrichment, and automation tasks.

ETL/ELT Tools: Experience with ETL/ELT platforms (e.g., Informatica, Talend, AWS Glue) to implement data quality rules and workflows.

Metadata Management: Ability to leverage metadata repositories and data catalogs to maintain data lineage and track data quality improvements.

Big Data and Cloud Platforms: Knowledge of big data ecosystems (Hadoop, Spark) and cloud environments (AWS, Azure, GCP) for scalable data quality solutions.

Data Governance Technologies: Familiarity with governance platforms and frameworks to ensure alignment of data quality initiatives with organizational standards.

Version Control and CI/CD: Experience using Git, Jenkins, or similar tools to manage code, automate deployments, and streamline data quality integrations.

Data Visualization: Skill in creating dashboards and visualizations (e.g., Tableau, Power BI) to communicate data quality metrics and trends.

APIs and Integration Technologies: Ability to use APIs, RESTful services, or messaging systems (e.g., Kafka) for seamless data integration and quality checks.

Job Description

• Develop and lead the implementation of enterprise-level data quality standards, policies, and procedures.
• Oversee data quality assessments, audits, and profiling to identify issues, root causes, and improvement opportunities.
• Collaborate with data stewards, data architects, and business stakeholders to establish data quality metrics and KPIs.
• Design and implement robust data cleansing, enrichment, and validation strategies across diverse data sources and platforms.
• Monitor and report on data quality performance, ensuring transparency and accountability throughout the organization.
• Evaluate and integrate data quality tools, technologies, and automation solutions to enhance efficiency and accuracy.
• Provide expert guidance and training to teams on data quality best practices, methodologies, and regulatory compliance.
• Lead cross-functional initiatives to address complex data quality challenges and drive continuous improvement.
• Ensure alignment of data quality efforts with overall data governance and business objectives.
• Stay current with industry trends, emerging technologies, and evolving regulatory requirements to maintain excellence in data quality practices.

Personal Skills

• Data Quality Frameworks and Standards: Deep understanding of frameworks for data quality assessment, monitoring, and improvement.
• Data Profiling and Assessment Tools: Proficiency with data profiling, auditing, and lineage tracking tools (e.g., Collibra, Informatica Data Quality).
• Root Cause Analysis: Ability to identify, analyze, and resolve underlying causes of data quality issues.
• Data Cleansing and Enrichment: Expertise in designing and implementing data cleansing, standardization, and enrichment processes.
• SQL and Scripting Languages: Strong command of SQL and possibly Python or R to query, analyze, and transform data.
• Data Governance and Compliance: Familiarity with governance frameworks, regulatory standards (e.g., GDPR, CCPA), and compliance best practices.
• ETL/ELT Processes: Experience with ETL/ELT tools and techniques to integrate and maintain data quality in data pipelines.
• Performance Measurement: Skill in defining and tracking data quality metrics, KPIs, and performance dashboards.
• Communication and Collaboration: Excellent communication and interpersonal skills to work effectively with stakeholders, data stewards, and technical teams.
• Continuous Improvement Mindset: Commitment to staying updated with industry trends, best practices, and emerging technologies to continually enhance data quality initiatives.

Technical Skills

• Data Quality Tools: Proficiency with industry-standard data quality and profiling tools (e.g., Informatica Data Quality, Talend Data Quality, Collibra).
• SQL and Database Querying: Advanced SQL skills to query databases, identify anomalies, and perform complex data transformations.
• Scripting and Programming: Familiarity with scripting languages (e.g., Python, R) for data cleansing, enrichment, and automation tasks.
• ETL/ELT Tools: Experience with ETL/ELT platforms (e.g., Informatica, Talend, AWS Glue) to implement data quality rules and workflows.
• Metadata Management: Ability to leverage metadata repositories and data catalogs to maintain data lineage and track data quality improvements.
• Big Data and Cloud Platforms: Knowledge of big data ecosystems (Hadoop, Spark) and cloud environments (AWS, Azure, GCP) for scalable data quality solutions.
• Data Governance Technologies: Familiarity with governance platforms and frameworks to ensure alignment of data quality initiatives with organizational standards.
• Version Control and CI/CD: Experience using Git, Jenkins, or similar tools to manage code, automate deployments, and streamline data quality integrations.
• Data Visualization: Skill in creating dashboards and visualizations (e.g., Tableau, Power BI) to communicate data quality metrics and trends.
• APIs and Integration Technologies: Ability to use APIs, RESTful services, or messaging systems (e.g., Kafka) for seamless data integration and quality checks.

Job Purpose :

• The Senior Expert of Data Quality & Monitoring is responsible for ensuring the accuracy and reliability of data across the Insurance Authority’s systems. This role establishes robust data quality validation frameworks, monitors data integrity in real time, and leads the development of reference data and metadata systems. The position plays a critical role in regulatory compliance, business continuity, and the operational effectiveness of the Insurance Data Hub.

Key Responsibilities and Activities

Operations Management :

• Implement the policies, regulations, procedures, and controls so that all relevant procedural/ legislative requirements are met while delivering high-quality and cost-effective results.

Data Quality & Monitoring :

Data Quality Assurance & Validation

• Develop and implement automated data validation processes to identify and prevent data errors, inconsistencies, and missing records.
• Define and monitor data quality metrics, thresholds, and KPIs through dashboards and reports.
• Collaborate with Data Engineering & Storage teams to resolve data integrity issues at the storage level.
• Escalate persistent or high-risk data quality issues to Governance, Risk, and Compliance (GRC) and relevant business units, particularly where regulatory reporting is impacted.
• Establish real-time monitoring systems to detect data anomalies, unauthorized changes, and discrepancies.
• Implement alerting mechanisms for critical data quality breaches requiring immediate response.
• Coordinate with IT and analytics functions to ensure clean, verified datasets are available for operational and strategic use.
• Contribute to crisis management efforts by validating datasets and facilitating rollbacks to trusted data sources when needed.
• Identify and document root causes of recurring data quality issues affecting reporting or supervisory accuracy.

Compliance & Governance Alignment

• Align data quality policies and practices with frameworks defined by the Data Governance Office.
• Support audit readiness and regulatory compliance by maintaining validated datasets and documentation.
• Maintain up-to-date documentation of data validation rules, historical issues, quality thresholds, and resolution actions.

Reference & Master Data (RMD) Management

• Lead the development and implementation of a strategic approach to reference and master data management.
• Define and maintain standards, governance policies, and lifecycle procedures for key data domains.
• Ensure the integration of reference and master data across systems, including the Insurance Data Hub.
• Collaborate with internal stakeholders to harmonize and institutionalize RMD practices.

Metadata and Data Cataloging

• Design and execute metadata frameworks to document, organize, and classify data assets within the Insurance Data Hub.
• Build and maintain a comprehensive data catalog that improves data discoverability, transparency, and reuse.
• Work with technical and business teams to ensure metadata remains up-to-date and aligned with evolving data assets and systems.
• Perform other activities as and when required.
• Data Quality Assurance & Issue Resolution
• Metadata Management & Cataloging
• Reference & Master Data Governance
• Compliance & Regulatory Awareness
• Analytical & Problem-Solving Skills
• Cross-functional Collaboration
• Data Governance Policy Alignment

Qualifications and Requirements

Knowledge and Experience :

• 6+ years or more of relevant experience in data quality management, metadata, or any relevant field.
• Previous experience in in data pipeline tools (e.g., Apache Airflow, Talend), storage platforms (e.g., Hadoop, cloud data lakes), and integration technologies (e.g., APIs, ETL frameworks).
• Strong understanding of reference/master data, data cataloging tools, and data quality automation frameworks.
• Experience with regulatory or audit environments, particularly in public or financial sectors.
• Hands-on knowledge of data monitoring tools, metadata repositories, and data quality metrics.

Education and Certifications :

• Bachelor’s degree in Data Management, Information Systems, Computer Science, or a related field.
• Relevant certification is preferred

• Seniority level Associate

• Employment type Full-time

• Job function Quality Assurance
• Industries Insurance

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4 weeks ago Be among the first 25 applicants

As a Data Quality Consultant at Müller's Solutions, you will be responsible for ensuring the accuracy, consistency, and completeness of data across the organization. Your role will involve assessing data quality issues, designing and implementing data quality improvement initiatives, and providing guidance to stakeholders on best practices for data management. In this position, having experience with Informatica, a leading data integration and quality tool, will be highly beneficial.

Responsibilities:

• Assess data quality issues and identify root causes
• Design and implement data quality improvement strategies
• Create and enforce data quality standards and procedures
• Develop data quality metrics and KPIs
• Implement data profiling and cleansing processes
• Collaborate with cross-functional teams to resolve data quality issues
• Provide guidance and support to stakeholders on data quality best practices
• Monitor and report on data quality performance
• Stay updated with the latest trends and advancements in data quality management
  
  

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven experience as a Data Quality Consultant or in a similar role
• Strong understanding of data quality principles and methodologies
• Experience with Informatica
• Proficiency in data profiling and cleansing techniques
• Excellent analytical and problem-solving skills
• Strong communication and collaboration skills
• Ability to work effectively with cross-functional teams
• Knowledge of data governance principles is a plus
  
  

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Information Technology
• Industries IT Services and IT Consulting

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Master-Works is looking for a highly skilled Data Management Expert to join our team and lead initiatives aimed at optimizing our data management practices. This role is critical for ensuring that data across the organization is well-governed, effectively utilized, and aligned with business objectives. The ideal candidate will possess extensive experience in data management and a deep understanding of data governance principles.

Key Responsibilities:

• Develop and implement comprehensive data management strategies that align with organizational goals and enhance data governance.
• Establish and oversee data quality metrics, ensuring that all data is accurate, complete, and secure.
• Collaborate with cross-functional teams to define data management processes and best practices tailored to our business needs.
• Lead the implementation of data management tools and systems that support data integration, management, and reporting.
• Provide training and support to team members and stakeholders on data management policies and practices.
• Monitor and report on the effectiveness of data management initiatives, making recommendations for continuous improvement.
• Stay informed on industry trends, emerging technologies, and regulatory requirements related to data management and governance.

• Qualifications:

• Fluent in Arabic and English
• Bachelor's degree in computer science or a related field.
• Minimum of 7-9 years of experience in data management, with a focus on data governance and quality management.
• Proven expertise in data management frameworks, data governance policies, and best practices.
• Strong analytical and problem-solving abilities, with a detail-oriented approach.
• Proficiency in data management tools and software (e.g., ETL tools, data warehousing solutions).
• Ability to work independently as well as part of a collaborative team environment.
• Has a good understanding of NDMO requirements.
• Certified CDMP, CPIM (preference)

Master-Works is seeking a knowledgeable and dynamic Data Management Consultant specializing in National Data Management Office (NDMO) to join our consulting team. The successful candidate will collaborate with various stakeholders to develop and implement data management strategies that align with national goals and frameworks.

Key Responsibilities:

1. Design and implement data management frameworks and strategies in accordance with NDMO standards.
2. Assess existing data management practices and provide recommendations for improvements to enhance data quality and security.
3. Work closely with government agencies and private-sector stakeholders to streamline data processes and ensure compliance with regulatory requirements.
4. Facilitate workshops and training sessions to educate stakeholders on data management best practices and tools.
5. Monitor data governance initiatives to ensure alignment with national data policies and objectives.

Qualifications:

1. Bachelor’s degree in Data Management, Information Technology, or a related field.
2. At least 5 years of experience in data management consulting, preferably within a national framework or government setting.
3. Strong understanding of data management principles, NDMO policies, and national data governance frameworks.
4. Experience with data quality assessment, metadata management, and data lifecycle management.
5. Excellent communication and facilitation skills, with an ability to engage and influence a diverse range of stakeholders.
6. Strong analytical skills with attention to detail and the ability to solve complex problems.

4 weeks ago Be among the first 25 applicants

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SWATX is seeking a dedicated and experienced Data Management Consultant to join our team. In this role, you will be responsible for providing strategic guidance and hands-on support in all areas of data management, including data governance, data quality, and data integration. Working closely with clients, you will assess their data needs, develop data management strategies, and implement solutions that drive efficient and effective data operations.

Responsibilities:

• Profound knowledge of data management frameworks, methodologies, and the standards and policies of the National Data Management Office (NDMO), along with their practical implementation
• Provide guidance and consultation on implementing data management frameworks, methodologies, and policies in alignment with NDMO standards and requirements
• Collaborate with internal stakeholders to assess current data management practices and identify areas for improvement
• Develop and implement tailored data strategies and solutions to address data governance, and data privacy challenges
• Strong understanding of privacy principles, policies, and laws governing personal data protection (PDPL)
• Assist in the development of policies, procedures, and guidelines to support compliance with NDMO requirements and enhance data management capabilities
• Work closely with IT teams to evaluate and select data management tools and technologies
• Expertise in data classification and overseeing the end-to-end implementation of data classification processes
• Ability to conduct compliance assessments and generate comprehensive reports
• Extensive experience in conducting and organizing workshops and presentations
  
  

• Degree in Computer Science, Information Technology, or similar degree
• 5+ years of experience in data management, data governance, and data privacy
• Excellent communication skills, both verbal and written, in English and Arabic Preferable Certificates:
• Certified Data Management Professional (CDMP), Certified Information Privacy Manager (CIPM), or Certified Information Privacy Professional (CIPP)

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Consulting
• Industries IT Services and IT Consulting

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Al Dar Al Baida District, Riyadh, Saudi Arabia 1 month ago

Al Dar Al Baida District, Riyadh, Saudi Arabia 1 month ago

Al Dar Al Baida District, Riyadh, Saudi Arabia 1 month ago

Al Dar Al Baida District, Riyadh, Saudi Arabia 1 month ago

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