business analyst

document controller

project manager

data analyst

data scientist

data quality manager

Deloitte

<div>
 
 AI &amp; Data &ndash; Data Management, Manager
 
 
 
 
 About Deloitte
 
 : When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training &amp; Development Excellence Award.
 
 
 
 Our Purpose
 
 
 
 Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most&mdash;for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
 
 
 During your tenure as Data Management Manager, We are expecting the ideal candidate to have those capabilities:
 
 
 
 Technical Capabilities
 
 
 
 <ul>
 <li>
 Lead the design and implementation of enterprise-wide data management solutions (preferably using Informatica IDMC), covering Data Governance, Data Quality Metadata management &amp; Master data management (MDM) in compliance with NDMO, DAMA.
 </li>
 <li>
 Develop and implement data architecture blueprints and data integration models aligned with business needs.
 </li>
 <li>
 Manage large-scale data migration and integration programs, leveraging ETL/ELT tools and cloud-based platforms (e.g., Azure, GCP, AWS).
 </li>
 <li>
 Develop and maintain data quality frameworks (preferably using IDMC) &mdash; defining business rules, scorecards, and automated data remediation processes.
 </li>
 <li>
 Provide expertise in data cataloging tools (e.g., Collibra, Alation, Informatica, Ataccama, etc.).
 </li>
 <li>
 Oversee metadata and lineage management (Preferably leveraging Informatica Data Catalog and Axon), ensuring end-to-end data visibility.
 </li>
 <li>
 Lead master and reference data management implementations, including hierarchy management, survivorship rules, and golden record creation.
 </li>
 <li>
 Collaborate with analytics and reporting teams to ensure data availability, reliability, and single source of truth.
 </li>
 <li>
 Ensure data security, privacy, and compliance with NDMO, PDPL, GDPR and related frameworks.
 </li>
 <li>
 Lead and mentor teams on data governance frameworks, metadata strategies, and stewardship processes.
 
 
 </li>
 </ul>
 
 Functional Capabilities
 
 
 
 <ul>
 <li>
 Define and operationalize data strategies and operating models in alignment with client business objectives.
 </li>
 <li>
 Sound working knowledge of data management frameworks like NDMO, DAMA.
 </li>
 <li>
 Advise senior stakeholders on data governance maturity and roadmap development.
 </li>
 <li>
 Translate business challenges into data-driven solutions, connecting data management to business value.
 </li>
 <li>
 Partner with cross-functional teams (e.g., finance, HR, operations, digital) to embed data ownership and stewardship roles.
 </li>
 <li>
 Support change management and data literacy initiatives to strengthen organizational data culture.
 </li>
 <li>
 Develop proposals, statements of work, and contribute to practice development for data management offerings.
 </li>
 <li>
 Manage client relationships, ensure delivery excellence, and oversee junior team members&rsquo; growth.
 
 
 </li>
 </ul>
 
 Leadership Capabilities
 
 
 
 <ul>
 <li>
 Identifies and embraces our purpose and values and puts these into practice in their professional life
 </li>
 <li>
 Develops self by actively seeking opportunities for growth, shares knowledge and experiences with others, and acts as a strong brand ambassador
 </li>
 <li>
 Seeks opportunities to challenge self; teams with others across businesses and borders to deliver and takes accountability for own and team results
 </li>
 <li>
 Builds relationships and communicates effectively in order to positively influence peers and other stakeholders
 </li>
 <li>
 Understands objectives for clients and Deloitte, aligns own work to objectives and sets personal priorities
 </li>
 <li>
 Excellent communication and people skills, with a strong emphasis on team working
 </li>
 <li>
 Strong administrative and numeracy skills and ability to analyze complex data with good attention to details
 </li>
 <li>
 Demonstrated project management skills, including the ability to plan, prioritize, and execute projects within deadlines.
 </li>
 <li>
 Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
 </li>
 <li>
 Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
 </li>
 <li>
 Strong business acumen, identifying opportunities where data science can drive business value and growth.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 8-10 years of practical experience in Data Management Platform implementations or related roles.
 </li>
 <li>
 Previous experience working on data-intensive projects and delivering data-driven insights to stakeholders.
 </li>
 <li>
 Good command of written and spoken English.
 </li>
 <li>
 Ability to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hours.
 </li>
 <li>
 Willingness to travel across GCC region (50-75% of time)
 
 
 </li>
 </ul>
 
 Additional Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Big Four or Global System Integrators is a plus.
 </li>
 <li>
 Arabic language is a plus.
 </li>
 <li>
 Professional Certification in any of the data management tools (preferably Informatica IDMC) or platforms will be a plus.
 </li>
 </ul>
</div>

Manager | AI & Data | Data Management

Jaarvis Technologies

Key Responsibilities <ul><li>Implement and align data practices with DAMA-DMBOK framework</li><li>Define and manage data governance, data quality, and data standards</li><li>Collaborate with business and technical teams to improve data management processes</li><li>Support data strategy, policies, and compliance initiatives</li><li>Conduct data assessments and maturity evaluations</li><li>Ensure proper data documentation, lineage, and stewardship practices</li><li>Work closely with stakeholders to drive data-driven decision-making</li></ul>Required Skills &amp; Qualifications<ul><li>4&ndash;8 years of experience in data management / data governance / DAMA frameworks</li><li>Strong understanding of DAMA-DMBOK, data governance, and data quality frameworks</li><li>Experience with data tools, metadata management, and data cataloging</li><li>Excellent communication and stakeholder management skills</li><li>Ability to work on-site in a client-facing role</li></ul>Mandatory Requirements<ul><li>Arabic language proficiency (spoken &amp; professional communication)</li><li>Strong interpersonal and client-facing communication skills</li><li>Willingness to work on-site full-time</li></ul>Preferred Criteria<ul><li>DAMA certification (CDMP) is a plus</li><li>Experience in enterprise environments / consulting roles</li></ul>Pay: From ﷼150,000.00 per monthApplication Question(s):<ul><li>Are you proficient in Arabic (spoken and professional communication)?</li><li>Do you hold a DAMA certification (CDMP or equivalent)?</li><li>Are you willing to work on-site in Saudi Arabia full-time?</li><li>Do you have 4&ndash;8 years of experience in data governance, data management, or DAMA frameworks?</li><li>Do you have hands-on experience implementing DAMA-DMBOK principles in an enterprise environment?</li><li>Have you worked in consulting or client-facing roles?</li><li>Briefly describe your experience with data governance, data quality, and data standards:</li><li>Which data tools or platforms have you worked with (e.g., data cataloging, metadata tools)?</li></ul>Work Location: In person

DAMA Consultant

Master Works

<div>
 As a Data Management Consultant, you will be responsible for designing and implementing data management strategies, including data governance, data quality, and data lifecycle practices to ensure data integrity, security, and business value across the organization.
 
 
 <ul>
 <li>
 Assess current data governance practices and define a clear roadmap for improvements
 </li>
 <li>
 Establish and enforce data governance frameworks, policies, and standards to enhance data quality and accessibility
 </li>
 <li>
 Collaborate with data owners and stakeholders to identify data stewardship roles and responsibilities
 </li>
 <li>
 Conduct training and workshops to promote awareness of data governance principles and best practices
 </li>
 <li>
 Monitor compliance with data governance policies and report on the effectiveness of governance initiatives
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 7+ years of experience in data governance or related roles
 </li>
 <li>
 Strong understanding of Experience in conducting data quality assessments data governance frameworks and data privacy regulations
 </li>
 <li>
 Excellent analytical and problem-solving skills
 </li>
 <li>
 Strong communication and presentation skills
 </li>
 <li>
 Preferred certifications in data governance (CDMP, DGI-P)
 </li>
 <li>
 Familiarity with data governance tools and technologies
 </li>
 <li>
 Bachelor's degree in Information Management, Computer Science, or related field
 </li>
 <li>
 Excellent leadership and team development skills
 </li>
 <li>
 Arabic: Native
 </li>
 <li>
 English: Fluent
 </li>
 </ul>
</div>

Data Management Consultant

MASTER-WORKS

<div>As a Data Management Consultant, you will be responsible for designing and implementing data management strategies, including data governance, data quality, and data lifecycle practices to ensure data integrity, security, and business value across the organization.<ul><li>
Assess current data governance practices and define a clear roadmap for improvements.</li><li>
Establish and enforce data governance frameworks, policies, and standards to enhance data quality and accessibility.</li><li>
Collaborate with data owners and stakeholders to identify data stewardship roles and responsibilities.</li><li>
Conduct training and workshops to promote awareness of data governance principles and best practices.</li><li>
Monitor compliance with data governance policies and report on the effectiveness of governance initiatives.</li></ul> 

Requirements 
<ul><li>
7+ years of experience in data governance or related roles</li><li>
Strong understanding of Experience in conducting data quality assessments data governance frameworks and data privacy regulations</li><li>
Excellent analytical and problem-solving skills</li><li>
Strong communication and presentation skills</li><li>
Preferred certifications in data governance (CDMP, DGI-P)</li></ul><ul><li>
Familiarity with data governance tools and technologies</li><li>
Bachelor's degree in Information Management, Computer Science, or related field</li><li>
Excellent leadership and team development skills.</li><li>
Arabic: Native</li><li>
English: Fluent</li></ul></div>

Saudi Credit Information Company - SIMAH

<div>
 
 
 JOB PURPOSE / ROLE:
 
 
 
 To fully and effectively direct the Data Quality Unit within the Data Management Department within SIMAH. The purpose of this role is to direct various areas related to data Quality such as data acquisition, analysis, accuracy, integrity, conformity, completeness, uniqueness, timeliness and consistency.
 
 
 
 
 
 
 RESPONSIBILITY:
 
 
 
 
 Strategic
 
 
 <ul>
 <li>
 Directing to the development of SIMAH&rsquo;s Data Management strategic and leadership.
 </li>
 </ul>
 
 
 
 
 
 Policies, Processes &amp; Procedures
 
 
 <ul>
 <li>
 Follows all relevant departmental policies, processes, standard operating procedures, and instructions so that work on carried out in a controlled and consistent manner.
 </li>
 </ul>
 
 
 
 
 
 Budget
 
 
 <ul>
 <li>
 Direct the Recommends of the inputs for the Data Management budget under the supervision of Chief Data Officer
 </li>
 <li>
 Directs and oversees yearly budgeting of Data Management in coordination with Chief Data Officer
 </li>
 <li>
 Directs the Work with business stakeholders as Data steward.
 </li>
 </ul>
 
 
 
 
 
 Day- to-day operations
 
 
 <ul>
 <li>
 Directs the day-to-day operations related to own job to ensure continuity of work.
 </li>
 </ul>
 
 
 
 
 
 People Management
 
 
 <ul>
 <li>
 Ensures subordinates have clear objectives, regular performance feedback sessions, formal annual appraisals, and individual development plans, with particular emphasis on the development of talented Saudi national staff.
 </li>
 </ul>
 
 
 
 
 
 Continuous Improvement
 
 
 <ul>
 <li>
 Direct the Oversee the overall Data Management activities within SIMAH and continuing the progress within the department.
 </li>
 <li>
 Direct periodically the Subordinates relation processes and ensure the completion.
 </li>
 </ul>
 
 
 
 
 
 Reporting
 
 
 <ul>
 <li>
 Direct in the preparation of timely and accurate reports of SIMAH to meet company and department requirements, policies, and standards.
 </li>
 </ul>
 
 
 
 
 
 Safety, Quality &amp; Environment
 
 
 <ul>
 <li>
 Complies with all relevant safety, quality and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.
 </li>
 </ul>
 
 
 
 
 
 Related Assignments
 
 
 <ul>
 <li>
 Performs other related duties or assignments as directed.
 </li>
 </ul>
 
 
 
 
 
 Information Security/Cyber Security / BCM/Privacy
 
 
 <ul>
 <li>
 Implementation of and compliance with the cybersecurity/privacy/ Business Continuity requirements as per SIMAH&rsquo;s policies and procedures.
 </li>
 <li>
 Ensure that standards, processes and procedures of your department reflect Security/privacy/ Business Continuity requirements (if applicable).
 </li>
 <li>
 Ensure that individuals within your department accept and comply with the Cyber Security/Privacy/ Business Continuity policy, supporting standards and procedures when they are issued and updated.
 </li>
 <li>
 Coordinate with Risk Department to identify and report cyber security and privacy risks and vulnerabilities, availability and continuity risks in IT systems
 </li>
 <li>
 Immediately report cyber security and privacy incidents to Risk Department (Information Security unit).
 </li>
 <li>
 Coordinate with Risk Department to effectively and efficiency implement agreed on security, privacy and availability controls
 </li>
 <li>
 Coordinate with Risk Department to review cyber security, privacy and Continuity controls of third-party service providers for your department
 </li>
 <li>
 Ensure continuity of critical activities and systems that is related to your department.
 </li>
 <li>
 Ensure that all subordinate employees are communicated and aware about the Information and Cyber Security Policies/Privacy Policy/ Business Continuity policy distributed based on &ldquo;Need to Know and/or Need to do basis&rdquo;.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS &amp; EXPERIENCE:
 
 
 
 
 
 
 
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in IT, IS, MIS, Electronic Business, Data Analytics or any in other relevant discipline.
 </li>
 <li>
 8 - 12 years of relevant experience
 </li>
 </ul>
 
 
 
 
 
 Language:
 
 
 <ul>
 <li>
 English: Advanced
 </li>
 </ul>
 
 
 
 
 
 Soft skills &amp; Technical Knowledge areas:
 
 
 <ul>
 <li>
 Achieving Results
 </li>
 <li>
 Adaptability &amp; Improvement
 </li>
 <li>
 Commitment &amp; Motivation
 </li>
 <li>
 Technical Excellence
 </li>
 </ul>
 
 
</div>

Head of Data Quality

MA'ADEN

<div><div><div><div><div>Role Purpose:
The Data Science &amp; Analytics Manager is responsible for overseeing the end-to-end execution of data science and advanced analytics initiatives that support Maaden&rsquo;s operational and business objectives. The role ensures that data science projects are delivered with high quality, reliability, and measurable impact by managing workflows, coordinating cross-functional stakeholders, and maintaining strong alignment with enterprise data, AI, and governance standards.
As an operational leader, the Manager translates business needs into actionable analytical work, supervises the development of models, analytical products, and data pipelines, and ensures their successful deployment and adoption across functions. This role plays a critical part in embedding data-driven decision-making within production, maintenance, supply chain, engineering, and other business units by enabling teams to access trusted insights, robust analytical tools, and fit-for-purpose ML/AI solutions.
Through effective project management, quality oversight, and close collaboration with technical experts and business partners, the Data Science &amp; Analytics Manager helps accelerate Maaden&rsquo;s transition to a technology-enabled, AI-informed mining enterprise. 
1. Manage End‑to‑End Data Science Delivery
<ul><li>Oversee the development, implementation, and maintenance of databases and data collection systems.
</li><li>Manage the lifecycle of ML/AI initiatives&mdash;supporting problem framing, data exploration, feature engineering, model development, validation, and preparation for MLOps deployment.
</li><li>Ensure delivery of scalable, production‑ready models in alignment with enterprise data governance and AI standards.
</li><li>Conduct statistical analysis to interpret data insights and support decision‑making.
</li><li>Apply data mining techniques to uncover patterns, trends, and relationships in large datasets.
</li><li>Develop predictive models and machine learning algorithms to forecast future outcomes as required.
</li><li>Create clear data visualizations, dashboards, and reports to effectively communicate findings to business stakeholders.
</li><li>Collaborate with cross‑functional teams to understand business needs and translate them into data‑driven solutions.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins.
</li><li>Stay updated on emerging techniques, tools, and technologies in data science and analytics.
</li><li>Promote experimentation, model versioning, automated retraining, and continuous improvement processes.
</li><li>Recommend enhancements to existing models and analytics workflows for greater efficiency and impact. 
</li></ul></div></div> 
<div><div>2. Data Operations
<ul><li>Partner with data engineering to design, operate, and maintain reliable data pipelines and analytical models, ensuring data accuracy, timeliness, and trustworthiness.
</li><li>Monitor data quality, resolve data issues, and enforce data best practices across teams.
</li><li>Support compliance with data security standards and relevant regulations
</li><li>Supervise the development and deployment of advanced ML models, predictive analytics, GenAI, and optimization solutions, consistent with responsibilities of analytics leadership roles.
</li><li>Ensure technical rigor across the end‑to‑end ML lifecycle: scoping data engineering modeling validation MLOps monitoring.
</li><li>Oversee production reliability, model drift management, and continuous improvement. 
</li></ul></div></div> 
<div><div>3. Team Leadership &amp; Capability Building
<ul><li>Manage and grow a multi‑disciplinary team (Lead Specialists, Senior Specialists, Data Scientists). Roles under this manager are explicitly listed in the org structure.
</li><li>Build technical excellence through coaching on ML, GenAI, statistics, feature engineering, and experimentation.
</li><li>Foster a culture of innovation, peer review, and reusable modeling frameworks. 
</li></ul></div></div> 
<div><div>4. AI Governance, Quality &amp; Standards
<ul><li>Steward high standards in model explainability, auditability, lineage, and risk management.
</li><li>Drive compliance with enterprise data governance, PDPL, and model‑risk principles referenced in internal DS/AI qualification guidance.
</li><li>Ensure adherence to Responsible AI requirements applicable to DS/AI roles (skills and qualifications guidance).
</li><li>Enforce data quality standards, lineage, and reproducibility across the team&rsquo;s projects.
</li><li>Support alignment with enterprise governance frameworks, including PDPL compliance.
</li></ul></div></div> 
</div></div>Minimum Qualifications, Experience and Competencies
Minimum Qualifications:
Bachelor&rsquo;s degree in computer science, Engineering, Data Science, Mathematics, Applied Mathematics, or Physics.
Minimum Experience:
<ul><li>10 &ndash; 12+ years&rsquo; experience in advanced analytics, ML/AI engineering, and industrial data science.
</li><li>Including at least 4 years leading or mentoring analytics professionals.
</li><li>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Proven record of enabling cross-functional business impact through scalable, production-grade data science solutions.
</li></ul>Maaden High-Performance Competencies:
Core Competencies
<ul><li>Value realization from ML/analytics initiatives (impact delivered vs. target).
</li><li>On‑time delivery of analytics roadmap.
</li><li>Adoption rate and integration of solutions into business workflows.
</li><li>Model performance stability (drift incidents, uptime).
</li><li>Team capability maturity and talent development indicators. 
</li></ul>Skills:
<ul><li>Machine Learning &amp; AI Leadership
</li><li>Programming Expertise
</li><li>Generative AI Proficiency
</li><li>Strong Analytical &amp; Statistical Skills
</li><li>Business Strategy &amp; Product Thinking
</li><li>Ethics, Governance &amp; Responsible AI
</li><li>Leadership &amp; People Management</li></ul></div>

Manager, Data Science & Analytics

Hill International

<div>The Quality Assurance Section Head (E2) is responsible for establishing, implementing, and monitoring project-wide quality assurance systems to ensure full compliance with corporate policies, international standards, and client requirements. The role involves developing quality plans, conducting audits, identifying trends and non-conformities, and driving corrective actions to ensure that all project deliverables meet defined quality standards. With extensive experience, the position also provides leadership in quality management, supports continuous improvement initiatives, and ensures effective reporting, training, and stakeholder coordination across all project phases.</div>
 <div><ul><li>Responsible for monitoring the implementation of the Projects&rsquo; Management System in compliance with the Hill Corporate policies, International Standards and Client's requirements. Develops quality assurance plans by conducting hazard analyses and monitoring procedures.
</li><li>Implementation of the Quality System may require the development or modification of corporate procedures.
</li><li>As per project needs, the development of a Project-specific Quality Plan, as a roadmap of the Project Quality Requirements, is recommended.
</li><li>The Quality Assurance Manager monitors the establishment by the service provider of the quality assurance (QA) programs sufficient for the Project.
</li><li>Monitors and audits the quality-related activities set forth in the Quality Plans to confirm that products or services provided are in accordance with the client's requirements.
</li><li>Periodically conducts detailed audits to assess the level of compliance with the QA systems, procedures, and related quality activities. Regularly interacts with the Project Director and Area Manager, and other staff members to assess on-site activities.
</li><li>Identifies and reports to the Project Director and -as per needs- to the Area Manager and the Area Quality Manager on quality issues or trends based on data from a variety of sources.
</li><li>Supports implementation of appropriate corrective action to quality issues.
</li><li>Validates quality processes by establishing product specifications and quality attributes.
</li><li>Provides input to management on projects performance metrics and process or procedural system improvements.
</li><li>Trains and motivates employees to ensure that quality standards are met.
</li><li>Requires the ability to communicate clearly, and interface effectively with a diverse group of professionals.
</li><li>Prepares quality documentation and reports by collecting, analyzing, and summarizing information and trends.
</li><li>Informs themselves of the relevant Quality, Environmental, Safety and Occupational Health Policies, Manuals and Procedures in place within Hill International, and ensures continued compliance with these requirements while employed by Hill.
</li><li>Perform other duties as assigned by the line manager/supervisor.</li></ul></div>
 <div><ul><li>Bachelor in engineering/management from an accredited university.
</li><li>Minimum 20 years&rsquo; professional experience including as quality manager for large-scale projects.
</li><li>Certified as a Lead Auditor.
</li><li>Broad knowledge of the quality principles/tools and their application to engineering, environmental, procurement, construction, testing, operations, or decommissioning.
</li><li>Knowledge of the application of corrective actions to reconcile nonconforming conditions.
</li><li>Knowledge of regulatory requirements and functions which impact the quality program/plan.
</li><li>Proficiency in verbal and written communications.
</li><li>Proficiency in providing direction and on the job training to assigned personnel.
</li><li>Experience in directing project audit activities</li></ul></div>
 <div><div>Hill International, with more than 4,300+ professionals in over 100 offices worldwide, provides program management, project management, construction management, project management oversight, advisory, facilities management, and other consulting services to clients in a variety of market sectors. Engineering News-Record magazine recently ranked Hill as one of the largest program management firms in the world. For more information on Hill, please visit our website at www.hillintl.com . 
</div><div></div> 
<div>Hill is exclusively a program, project, and construction management provider, meaning we have one focus as a company: protecting client interests. Free of any potential conflicts, our entire business is geared towards helping clients achieve their desired outcomes. We are dedicated to exceeding expectations throughout the entire construction project lifecycle and adapt to the needs of each assignment to develop tailored approaches and solutions to meet those needs. 
</div><div></div> 
<div>Hill is a GISI Consulting Group company, part of the Global Infrastructure Solutions, Inc. (GISI) family of companies. Learn more about GISI Consulting Group at www.gisiconsulting.com . 
</div><div></div> 
Hill International is an Equal Opportunity Employer/Veteran/Disabled
 
 
Note : This job description is intended to provide an indication of the nature and levels of work, knowledge, skills, abilities and other essential functions to be carried out as part of fulfilling the role mentioned in the job title. Various other duties as required.</div>

Quality Assurance Section Head (HQ) - (Saudization)

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1464 data quality manager jobs In Riyadh

Manager | AI & Data | Data Management

DAMA Consultant

Data Management Consultant

Data Management Consultant

Head of Data Quality

Manager, Data Science & Analytics

Quality Assurance Section Head (HQ) - (Saudization)