131 Data Control jobs in Saudi Arabia

المسمى الوظيفي:
محلل نظم معلومات

المدينه:
الرياض

مده التدريب:
تدريب تمهير 6 شهور

الهدف من التدريب:

اكتساب المهارات العملية في تحليل وتصميم نظم المعلومات، ودعم فرق تقنية المعلومات في تطوير حلول تقنية تلبي احتياجات العمل.

المتطلبات:

• درجة البكالوريوس في نظم المعلومات، علوم الحاسب، أو تخصص ذو صله ( حديث تخرج ) .
• معرفة أساسية بتحليل النظم، قواعد البيانات، وتصميم العمليات.
• مهارات تواصل وتحليل جيدة.
• إجادة استخدام برامج Office وأدوات تحليل البيانات.
• مهارات تواصل وتنظيم قوية بالعربية والإنجليزية.
• غير موظف حاليًا (شرط تمهير).

المهام والمسؤوليات:

• جمع وتحليل متطلبات المستخدمين والجهات المعنية.
• المساهمة في إعداد وثائق تحليل النظام وتصميم العمليات.
• دعم فرق التطوير في فهم المتطلبات وتحويلها إلى حلول تقنية.
• اختبار الأنظمة وتوثيق الملاحظات والمشكلات.
• المشاركة في تحسين العمليات التقنية وتقديم اقتراحات تطوير.
• إعداد تقارير دورية عن التقدم والنت

Overview

Master-Works is seeking a highly skilled Data Quality Expert to join our team and lead the effort to ensure the integrity and reliability of our data assets. In this role, you will be responsible for establishing and enforcing data quality standards, conducting assessments, and driving initiatives that enhance our overall data quality processes. Your expertise will play a critical role in supporting strategic decision-making across the organization.

• Develop and implement comprehensive data quality frameworks and policies that align with business objectives.
• Design and establish metrics to measure data quality and monitor data health across various systems.
• Conduct data profiling and audits to evaluate the accuracy, completeness, and consistency of data.
• Lead root cause analysis of data quality issues and collaborate with cross-functional teams to implement corrective actions.
• Provide training and support on data quality standards and best practices to stakeholders and team members.
• Stay informed on industry trends and emerging technologies related to data quality, and apply relevant findings to improve practices.
• Document data quality processes, guidelines, and best practices for future reference and compliance.

• Strong SQL knowledge and skills
• Telecom domain and associated data assets knowledge (CRM, Billing, CDR, network performance, inventory, . etc)
• Data Quality knowledge and background • DAMA & NDMO standards
• ETL & Data integration basic knowledge • Data Profiling and Analysis basic knowledge
• TM Forum frameworks and standards awareness and background
• Strong analytical and problem-solving skills

Overview

Master-Works is seeking a highly skilled Data Quality Expert to join our team and lead the effort to ensure the integrity and reliability of our data assets. In this role, you will be responsible for establishing and enforcing data quality standards, conducting assessments, and driving initiatives that enhance our overall data quality processes. Your expertise will play a critical role in supporting strategic decision-making across the organization.

• Develop and implement comprehensive data quality frameworks and policies that align with business objectives.
• Design and establish metrics to measure data quality and monitor data health across various systems.
• Conduct data profiling and audits to evaluate the accuracy, completeness, and consistency of data.
• Lead root cause analysis of data quality issues and collaborate with cross-functional teams to implement corrective actions.
• Provide training and support on data quality standards and best practices to stakeholders and team members.
• Stay informed on industry trends and emerging technologies related to data quality, and apply relevant findings to improve practices.
• Document data quality processes, guidelines, and best practices for future reference and compliance.

• Strong SQL knowledge and skills
• Telecom domain and associated data assets knowledge (CRM, Billing, CDR, network performance, inventory, . etc)
• Data Quality knowledge and background • DAMA & NDMO standards
• ETL & Data integration basic knowledge • Data Profiling and Analysis basic knowledge
• TM Forum frameworks and standards awareness and background
• Strong analytical and problem-solving skills

• 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.

Key Responsibilities:

• Develop Data Quality Strategy: Establish and maintain enterprise-wide DQ frameworks, rules, and KPIs.
• Define and Govern CDEs:
• Identify, document, and classify Critical Data Elements (CDEs) in collaboration with business and technical stakeholders.
• Ensure CDEs are aligned with business processes, regulatory requirements, and strategic goals.
• Monitor and report on CDE-specific DQ KPIs to ensure they meet required standards.
• Design & Implement DQ Rules: Create validation rules and profiling checks for both general datasets and CDEs.
• DQ Monitoring & Reporting: Develop DQ dashboards and scorecards to track quality dimensions (accuracy, completeness, timeliness, consistency, uniqueness, validity).
• Root Cause Analysis: Investigate data quality issues impacting CDEs and recommend technical or process-oriented remediation actions.
• Metadata & Lineage: Ensure CDEs are linked to metadata repositories and data lineage tools for full traceability.
• Collaboration: Work with data owners, data stewards, and governance committees to prioritize DQ initiatives around CDEs.
• Compliance Support: Ensure CDEs comply with regulatory frameworks (e.g., PDPL, GDPR, HIPAA, ISO standards).
• Tool Expertise: Administer and leverage Data Quality and Governance platforms (Informatica Axon, Collibra, Talend DQ, etc.) to manage DQ rules and CDE repositories.

Requirements

Qualifications & Experience

• Bachelor's degree in computer science, Data Management, or related fields.
• 3–7 years of experience in Data Quality, Data Governance, or Master Data Management.
• Proven experience in:
• Identifying, defining, and governing CDEs.
• Establishing DQ metrics for CDEs.
• Profiling, cleansing, and validating datasets with a focus on CDEs.
• Knowledge of Data Governance frameworks (DAMA-DMBOK) and regulatory standards (PDPL, GDPR, etc.).
• Familiarity with enterprise data platforms, metadata repositories, and lineage tools.

Key Accountabilities

• Enterprise Data Quality Framework established and adopted across all business units.

• Achievement of 95%+ data quality scores for critical data elements.

• Reduction in data-related incidents and issues through proactive monitoring.

• Automated Data Quality monitoring dashboards deployed for real-time visibility.

Delivery of Data Quality scorecards and KPIs aligned with business objectives.

• Successful remediation of at least 80% of identified data quality issues.

• Clear documentation of data quality standards, processes, and governance playbooks.

Key Responsibilities

• Define and implement an Enterprise Data Quality Strategy and Framework aligned with business objectives.

• Develop comprehensive Data Quality KPIs and Scorecards (completeness, timeliness, accuracy, uniqueness, integrity, consistency).

• Design and implement automated Data Quality rules, validations, and monitoring processes.

• Establish data profiling practices to identify quality issues and anomalies proactively.

• Create and maintain a Data Quality dashboard for real-time monitoring and alerting.

• Collaborate with business stakeholders and data stewards to define data standards and acceptance criteria.

• Design and implement data quality issue management workflows and remediation processes.

• Establish root cause analysis procedures for recurring data quality problems.

• Ensure compliance with PDPL and NDMO requirements for data quality and governance.

• Implement data quality controls at source systems and throughout data pipelines.

• Define and enforce data quality checkpoints across the data lifecycle.

• Document data quality processes, standards, playbooks, and stewardship guidelines.

• Lead data quality assessment initiatives and maturity evaluations.

• Provide training and awareness sessions for internal teams on data quality best practices.

• Work closely with Enterprise Data Architect to ensure quality standards are embedded in data architecture.

• Collaborate with Data Scientists and Analytics teams to ensure high-quality data feeds.

• Support the establishment of a Data Stewardship program and community of practice.

• Drive continuous improvement in data quality metrics and processes.

• Evaluate and recommend Data Quality tools and technologies.

Knowledge and Experience

• 7+ years of proven experience in data quality, data governance, or master data management.

• Strong understanding of Data Quality dimensions, metrics, and best practices.

• Hands-on experience with Data Quality tools (Informatica DQ, Talend, Ataccama, Collibra, dataplux, or cloud-native solutions).

• Experience with data profiling, cleansing, and standardization techniques.

• Expertise in SQL and data analysis for quality assessment.

• Experience with metadata management, data lineage, and stewardship processes.

• Knowledge of regulatory requirements in Saudi Arabia (PDPL, NDMO).

• Strong understanding of data governance frameworks and standards.

• Experience in designing and implementing data quality monitoring and reporting.

• Excellent stakeholder engagement and communication skills.

• Ability to translate technical data quality issues into business impact.

• Insurance or financial services domain knowledge with understanding of critical data domains.

• Experience integrating Data Quality frameworks into cloud platforms (BigQuery, Databricks, Snowflake).

• Knowledge of data catalog solutions, business glossaries, and metadata management tools.

• Experience with API data quality and real-time data validation.

• Familiarity with machine learning for anomaly detection and data quality prediction.

• Understanding of MDM (Master Data Management) concepts and implementation.

• Experience with data observability and DataOps practices.

• Knowledge of data quality in unstructured and semi-structured data contexts.

• Previous experience with SAMA/IA regulatory compliance in Saudi Arabia.

• Leadership skills to mentor analysts, data stewards, and technical teams.

• Change management experience for driving data quality culture transformation.

• Certification in Six Sigma or quality management methodologies.

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Data Quality Expert for one of our partner organizations in KSA on a 1-year contract, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

• Define and implement an Enterprise Data Quality Strategy and Framework aligned with business goals.
• Develop and maintain Data Quality KPIs and Scorecards (completeness, accuracy, timeliness, consistency, uniqueness, integrity).
• Design and implement automated data quality rules, validations, and monitoring processes.
• Establish data profiling practices to proactively identify and resolve quality issues.
• Create and maintain Data Quality dashboards for real-time monitoring and alerts.
• Collaborate with business stakeholders and data stewards to define data standards and acceptance criteria.
• Develop data issue management workflows and remediation procedures.
• Conduct root cause analysis for recurring data quality problems and ensure corrective actions.
• Ensure compliance with Saudi data regulations (PDPL, NDMO) in all data processes.
• Implement data quality controls across data pipelines and source systems.
• Define and enforce data quality checkpoints throughout the data lifecycle.
• Document data quality standards, processes, and governance playbooks.
• Lead data quality assessments, audits, and maturity evaluations.
• Provide training and awareness programs on data quality best practices.
• Collaborate with Enterprise Data Architects to embed quality standards in architecture and data models.
• Support Data Scientists and Analytics teams by ensuring access to clean and reliable data.
• Participate in establishing a Data Stewardship program and community of practice.
• Drive continuous improvement initiatives in data quality processes and performance metrics.
• Evaluate, select, and recommend data quality tools and technologies.

Education:

• Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field (required).
• Master's degree in Data Management, Information Quality, or Business Analytics (preferred).
• Professional certifications such as DAMA CDMP, DGSP, Informatica Data Quality, or ISO 8000 are a plus.

Experience & Knowledge:

• Minimum 7+ years of experience in data quality, data governance, or master data management.
• Strong understanding of data quality dimensions, metrics, and best practices.
• Hands-on experience with Data Quality tools (e.g., Informatica DQ, Talend, Ataccama, Collibra, Dataplex).
• Proficiency in SQL and data analysis techniques for quality assessment.
• Experience with data profiling, cleansing, and standardization.
• Knowledge of metadata management, data lineage, and stewardship frameworks.
• Familiarity with regulatory requirements in Saudi Arabia (PDPL, NDMO).
• Experience integrating data quality frameworks into cloud platforms (e.g., BigQuery, Databricks, Snowflake).
• Knowledge of data catalog solutions, business glossaries, and metadata tools.
• Familiarity with real-time data validation, API quality checks, and machine learning for anomaly detection.
• Understanding of MDM concepts, data observability, and DataOps practices.
• Experience with insurance or financial services data domains is preferred.
• Strong communication, leadership, and stakeholder management skills.
• Ability to mentor analysts, data stewards, and technical teams.
• Certification in Six Sigma or Quality Management is an advantage.

About Octopus By RTG
Octopus by RTG is the tech hiring and outsourcing arm of
Robusta Technology Group
, dedicated to connecting exceptional tech talent with top-tier organizations across the
MENA, GCC, Europe, the US, and Canada
. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to
empower growth, innovation, and excellence
by matching the right talent with the right opportunities.

Currently, we are hiring a
Data Quality Expert
for one of our
partner organizations in KSA
on a
1-year contract
, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

Main Responsibilities

• Define and implement an Enterprise Data Quality Strategy and Framework aligned with business goals
• Develop and maintain Data Quality KPIs and Scorecards (completeness, accuracy, timeliness, consistency, uniqueness, integrity)
• Design and implement automated data quality rules, validations, and monitoring processes
• Establish data profiling practices to proactively identify and resolve quality issues
• Create and maintain Data Quality dashboards for real-time monitoring and alerts
• Collaborate with business stakeholders and data stewards to define data standards and acceptance criteria
• Develop data issue management workflows and remediation procedures
• Conduct root cause analysis for recurring data quality problems and ensure corrective actions
• Ensure compliance with Saudi data regulations (PDPL, NDMO) in all data processes
• Implement data quality controls across data pipelines and source systems
• Define and enforce data quality checkpoints throughout the data lifecycle
• Document data quality standards, processes, and governance playbooks
• Lead data quality assessments, audits, and maturity evaluations
• Provide training and awareness programs on data quality best practices
• Collaborate with Enterprise Data Architects to embed quality standards in architecture and data models
• Support Data Scientists and Analytics teams by ensuring access to clean and reliable data
• Participate in establishing a Data Stewardship program and community of practice
• Drive continuous improvement initiatives in data quality processes and performance metrics
• Evaluate, select, and recommend data quality tools and technologies

Requirements
Education:

• Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field (required)
• Master's degree in Data Management, Information Quality, or Business Analytics (preferred)
• Professional certifications such as DAMA CDMP, DGSP, Informatica Data Quality, or ISO 8000 are a plus

Experience & Knowledge:

• Minimum 7+ years of experience in data quality, data governance, or master data management
• Strong understanding of data quality dimensions, metrics, and best practices
• Hands-on experience with Data Quality tools (e.g., Informatica DQ, Talend, Ataccama, Collibra, Dataplex)
• Proficiency in SQL and data analysis techniques for quality assessment
• Experience with data profiling, cleansing, and standardization
• Knowledge of metadata management, data lineage, and stewardship frameworks
• Familiarity with regulatory requirements in Saudi Arabia (PDPL, NDMO)
• Experience integrating data quality frameworks into cloud platforms (e.g., BigQuery, Databricks, Snowflake)
• Knowledge of data catalog solutions, business glossaries, and metadata tools
• Familiarity with real-time data validation, API quality checks, and machine learning for anomaly detection
• Understanding of MDM concepts, data observability, and DataOps practices
• Experience with insurance or financial services data domains is preferred
• Strong communication, leadership, and stakeholder management skills
• Ability to mentor analysts, data stewards, and technical teams
• Certification in Six Sigma or Quality Management is an advantage

NOZOM is seeking experienced
Data Quality Specialists
to support the operationalization of enterprise data quality management using
Informatica IDMC Cloud Data Quality (CDQ)
and governance processes aligned with
NDMO
standards.

Purpose

To ensure enterprise data assets meet quality, consistency, and compliance requirements by implementing sustainable data quality frameworks, automation, and governance controls.

Key Responsibilities

• Profile and assess priority datasets, establishing baselines and data quality scorecards (completeness, validity, consistency, timeliness, uniqueness).
• Design and implement
  IDMC CDQ rules, parsers, and reference checks
  , and automate remediation and golden-record survivorship in collaboration with data stewards.
• Publish and monitor data quality KPIs in
  CDGC
  , embedding DQ controls within pipelines (CI/CDI jobs) and data contracts.
• Deliver training sessions for data stewards and prepare detailed playbooks and runbooks to ensure operational continuity.

Minimum Qualifications

• Bachelor's degree in
  Computer Science, Information Systems
  , or
  SAS Data Science Certification
  (or equivalent).
• At least
  3 years of hands-on experience
  in data profiling, rule configuration, and workflow automation.
• Strong
  SQL
  expertise and understanding of data quality analysis.

Preferred Qualifications

• Experience with
  Informatica IDMC Cloud Data Quality (CDQ)
  .
• Familiarity with
  reference and master data management
  concepts.
• Arabic and English
  language proficiency (Arabic speaking is required).

Additional Requirements

• Currently residing in Saudi Arabia OR ability and willingness to relocate within the Kingdom of Saudi Arabia.
• Immediate or short-notice availability
  is preferred.