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Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Role Purpose</h2>
The Data Management Specialist will be responsible for designing, implementing, and governing enterprise-wide data management practices. The role focuses on ensuring data quality, security, compliance, and effective data utilization aligned with regulatory frameworks such as PDPL and NDMO guidelines.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Define and implement data management and governance frameworks across the organization</li><li>
Establish and enforce data quality standards, policies, and procedures</li><li>
Collaborate with business and technical teams to ensure data accuracy, consistency, and integrity</li><li>
Develop and maintain data dictionaries, metadata management, and data lineage documentation</li><li>
Ensure compliance with data privacy and protection regulations (e.g., PDPL)</li><li>
Align data practices with national-level frameworks such as NDMO (where applicable)</li><li>
Monitor data lifecycle management including data acquisition, storage, archival, and disposal</li><li>
Lead initiatives related to Master Data Management (MDM) and Data Governance tools implementation</li><li>
Conduct data audits, risk assessments, and compliance reporting</li><li>
Provide guidance on data security, access controls, and data classification</li><li>
Work closely with analytics teams to enable data-driven decision making</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Competencies</h2><ul><li>
Strong expertise in Data Management, Data Governance, and Data Quality frameworks</li><li>
Hands-on experience with metadata management and data catalog tools</li><li>
Knowledge of data privacy regulations (PDPL or similar frameworks)</li><li>
Understanding of NDMO or equivalent national data governance frameworks (good to have)</li><li>
Experience with data modeling, ETL processes, and data warehousing concepts</li><li>
Strong analytical and problem-solving skills</li><li>
Ability to work with cross-functional teams and stakeholders</li><li>
Excellent documentation and communication skills</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
CDMP (Certified Data Management Professional) certification &ndash; good to have</li><li>
Certifications in data governance, data privacy, or cloud platforms are a plus</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field</li></ul>
7xaE5ULbPZ</div>

Data Management Specialist

<div><h2 class="jobSectionHeader">Job Title: Data Governance Specialist (NDMO / PDPL)</h2><h3 class="jobSectionHeader">
Experience Required: 8&ndash;10 Years</h3><h3 class="jobSectionHeader">
Location: Riyadh - Onsite</h3><h2 class="jobSectionHeader">
Role Overview</h2>
We are seeking an experienced Data Governance Specialist with strong expertise in NDMO standards and PDPL compliance to drive enterprise-wide data governance initiatives. The ideal candidate will be responsible for establishing data governance frameworks, ensuring regulatory compliance, and improving data quality across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
Data Governance &amp; Framework Implementation</h3><ul><li>
Design and implement enterprise data governance frameworks aligned with NDMO guidelines</li><li>
Define data policies, standards, and procedures for data management</li><li>
Establish data ownership, stewardship, and accountability models</li><li>
Develop and maintain data governance operating models and roadmaps</li></ul><h3 class="jobSectionHeader">
Regulatory Compliance (PDPL)</h3><ul><li>
Ensure organizational compliance with Personal Data Protection Law (PDPL)</li><li>
Define and enforce data privacy, classification, and protection policies</li><li>
Work closely with legal and compliance teams to manage data risks</li><li>
Conduct audits and assessments to ensure adherence to regulatory requirements</li></ul><h3 class="jobSectionHeader">
Data Quality &amp; Management</h3><ul><li>
Define and implement data quality frameworks, metrics, and monitoring processes</li><li>
Identify data quality issues and drive remediation initiatives</li><li>
Collaborate with business and IT teams to improve data accuracy, consistency, and completeness</li></ul><h3 class="jobSectionHeader">
Metadata &amp; Data Management</h3><ul><li>
Manage data cataloging, lineage, and metadata management processes</li><li>
Ensure proper documentation of data assets and flows</li><li>
Support implementation of data governance tools and platforms</li></ul><h3 class="jobSectionHeader">
Stakeholder Collaboration</h3><ul><li>
Engage with business stakeholders to promote data governance best practices</li><li>
Conduct training and awareness sessions on data governance and data privacy</li><li>
Act as a bridge between business, IT, and compliance teams</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field</li><li>
5&ndash;10 years of experience in Data Governance, Data Management, or related roles</li><li>
Strong knowledge of NDMO data governance framework</li><li>
Hands-on experience with PDPL compliance and data privacy regulations</li><li>
CDMP (Certified Data Management Professional) certification is mandatory</li><li>
Experience with data governance tools (e.g., Collibra, Informatica, Alation, etc.)</li><li>
Strong understanding of data quality, metadata, and data lifecycle management</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience in large-scale enterprise or government environments</li><li>
Familiarity with data architecture and data warehousing concepts</li><li>
Knowledge of international data privacy standards (e.g., GDPR)</li><li>
Strong analytical and problem-solving skills</li></ul><h2 class="jobSectionHeader">
Key Competencies</h2><ul><li>
Strong attention to detail and governance mindset</li><li>
Excellent communication and stakeholder management skills</li><li>
Ability to influence and drive change across organizations</li><li>
Strategic thinking with hands-on execution capability</li></ul>
fljyf5FxdU</div>

Data Governance Specialist (NDMO / PDPL)

PulseMediaNL (MENA REGION)

<div>
 Position Overview
 
 
 We are seeking a highly organized, dependable, and detail-oriented Data Entry Specialist to join our growing remote operations team. This role is essential in maintaining accurate, structured, and reliable data across internal systems that support business operations and decision-making.
 
 
 This is an excellent opportunity for individuals looking to build a strong foundation in data entry, administrative support, remote data management, and workflow accuracy. The role is ideal for candidates who thrive in structured environments, enjoy working with data, value precision, and take pride in maintaining clean and organized systems.
 
 
 As a Remote Data Entry Specialist, you will contribute to the efficiency of day-to-day operations by updating records, maintaining databases, monitoring data quality, and ensuring information is complete, consistent, and accessible.
 
 
 No extensive prior professional experience is required. This is a true entry-level opportunity with structured guidance and training. Success in this role depends on attention to detail, consistency, accountability, and the ability to follow processes accurately.
 
 
 Key Responsibilities
 
 
 Data Entry &amp; Data Management
 
 
 You will play a central role in maintaining accurate and well-structured datasets that support internal operations.
 
 
 
 Your Responsibilities Will Include:
 
 
 
 <ul>
 <li>
 Entering, updating, and maintaining data in spreadsheets and internal systems using Google Sheets or Microsoft Excel
 </li>
 <li>
 Reviewing data for accuracy, completeness, and formatting consistency
 </li>
 <li>
 Standardizing entries (names, contact details, formats, and internal notes)
 </li>
 <li>
 Identifying duplicates, errors, inconsistencies, and missing information
 </li>
 <li>
 Flagging unclear or incomplete data for follow-up
 </li>
 <li>
 Maintaining organized digital files and structured naming conventions
 </li>
 <li>
 Supporting reporting by ensuring datasets are clean and reliable
 </li>
 <li>
 Keeping logs of updates, corrections, and changes made
 
 
 </li>
 </ul>
 This role requires strong attention to detail, consistency, and data accuracy.
 
 
 Task &amp; Workflow Support
 
 
 You will help ensure data-related tasks are completed efficiently and on time.
 
 
 
 Responsibilities Include:
 
 
 
 <ul>
 <li>
 Reviewing incoming data-related requests and organizing them accordingly
 </li>
 <li>
 Prioritizing and tracking assigned tasks through completion
 </li>
 <li>
 Following up on incomplete or delayed items
 </li>
 <li>
 Maintaining clear documentation of task progress
 </li>
 <li>
 Communicating when clarification or additional information is needed
 
 
 </li>
 </ul>
 Your ability to stay organized and manage structured workflows will support operational efficiency.
 
 
 Tracking, Logs &amp; Reporting
 
 
 Accurate tracking ensures visibility and accountability across operations.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Updating trackers for completed, pending, and in-progress work
 </li>
 <li>
 Logging daily activities, including updates, corrections, and identified issues
 </li>
 <li>
 Preparing simple progress summaries when required
 </li>
 <li>
 Monitoring recurring data issues or inconsistencies
 </li>
 <li>
 Escalating patterns that indicate process gaps or inefficiencies
 </li>
 <li>
 Supporting internal reporting with accurate, up-to-date data
 
 
 </li>
 </ul>
 Quality Control &amp; Data Accuracy
 
 
 Maintaining high-quality data is central to this role.
 
 
 
 Responsibilities Include:
 
 
 
 <ul>
 <li>
 Reviewing all entries before submission to ensure accuracy and consistency
 </li>
 <li>
 Following established data standards and formatting guidelines
 </li>
 <li>
 Ensuring all records are complete, clear, and properly structured
 </li>
 <li>
 Supporting improvements to data processes and workflows
 </li>
 <li>
 Maintaining organized, accessible, and well-documented systems
 
 
 </li>
 </ul>
 Strong quality control habits are essential for success.
 
 
 Performance Expectations
 
 
 
 Successful Candidates Will Demonstrate:
 
 
 
 <ul>
 <li>
 High accuracy with minimal data-entry errors
 </li>
 <li>
 Strong attention to detail in repetitive tasks
 </li>
 <li>
 Consistent and reliable daily output
 </li>
 <li>
 Clear communication when issues arise
 </li>
 <li>
 Proactive follow-up on missing or unclear data
 </li>
 <li>
 Strong organizational and file management skills
 </li>
 <li>
 Ability to follow structured processes and guidelines
 </li>
 <li>
 Accountability in a remote work environment
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Comfortable working with Google Sheets or Microsoft Excel
 </li>
 <li>
 Strong written communication skills
 </li>
 <li>
 Ability to follow detailed instructions accurately
 </li>
 <li>
 Detail-oriented mindset with strong organizational habits
 </li>
 <li>
 Ability to perform repetitive tasks with consistency and focus
 </li>
 <li>
 Comfortable working independently in a remote environment
 </li>
 <li>
 Reliable internet connection and suitable computer setup
 
 
 </li>
 </ul>
 Entry-level candidates are welcome &mdash; training and onboarding support will be provided.
 
 
 Work Details
 
 
 <ul>
 <li>
 Location: Fully Remote / Work From Home
 </li>
 <li>
 Schedule: Flexible with consistent availability required
 </li>
 <li>
 Hours: Full-time or part-time depending on workload
 </li>
 <li>
 Compensation: Based on experience and engagement level
 
 
 </li>
 </ul>
 Ideal Candidate Profile
 
 
 
 This Position Is Ideal For Individuals Who:
 
 
 
 <ul>
 <li>
 Are starting a career in data entry or administrative support
 </li>
 <li>
 Prefer structured, process-driven work environments
 </li>
 <li>
 Take pride in accuracy and clean data organization
 </li>
 <li>
 Enjoy repetitive tasks that require precision
 </li>
 <li>
 Thrive in consistent and predictable workflows
 </li>
 <li>
 Are looking for a stable, long-term remote role
 
 
 </li>
 </ul>
 Growth &amp; Career Development
 
 
 
 This Role Provides Hands-on Experience In:
 
 
 
 <ul>
 <li>
 Data management systems
 </li>
 <li>
 Administrative operations
 </li>
 <li>
 Workflow tracking and reporting
 </li>
 <li>
 Process standardization
 
 
 </li>
 </ul>
 
 Strong Performance May Lead To Opportunities Such As:
 
 
 
 <ul>
 <li>
 Senior Data Entry Specialist
 </li>
 <li>
 Administrative Assistant
 </li>
 <li>
 Operations Coordinator
 </li>
 <li>
 Quality Assurance Specialist
 </li>
 <li>
 Data Analyst (entry-level progression)
 
 
 </li>
 </ul>
 We support internal growth and development for reliable, high-performing team members.
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 100% remote opportunity
 </li>
 <li>
 Entry-level friendly with training provided
 </li>
 <li>
 Clear expectations and structured workflows
 </li>
 <li>
 Supportive and organized work environment
 </li>
 <li>
 Opportunities for long-term career growth
 
 
 </li>
 </ul>
 If you are detail-oriented, organized, and looking for a stable remote opportunity with growth potential, we encourage you to apply.
</div>

Data Entry Specialist (Remote)

Confidential Government

<div>
 
 
 Job Summary
 
 
 
 The Data Analyst Specialist is responsible for collecting, analyzing, and interpreting complex data sets to support business decision-making. The role focuses on transforming data into actionable insights that enhance operational efficiency, drive strategy, and improve overall business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Analyze large datasets to identify trends, patterns, and insights relevant to business objectives
 </li>
 <li>
 Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or similar
 </li>
 <li>
 Collaborate with business stakeholders to understand data needs and translate them into analytical solutions
 </li>
 <li>
 Ensure data accuracy, integrity, and consistency across multiple data sources
 </li>
 <li>
 Perform data cleansing, validation, and transformation processes
 </li>
 <li>
 Support forecasting, budgeting, and performance analysis activities
 </li>
 <li>
 Automate reporting processes to improve efficiency
 </li>
 <li>
 Provide recommendations based on data analysis to support strategic decisions
 </li>
 <li>
 Monitor KPIs and business performance metrics
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong proficiency in SQL and data querying
 </li>
 <li>
 Experience with data visualization tools (Power BI, Tableau, etc.)
 </li>
 <li>
 Advanced knowledge of Excel (Pivot Tables, Power Query, etc.)
 </li>
 <li>
 Understanding of statistical analysis and data modeling techniques
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Ability to communicate complex data insights to non-technical stakeholders
 </li>
 <li>
 Attention to detail and data accuracy
 </li>
 <li>
 Knowledge of Python or R is a plus
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or related field
 </li>
 <li>
 3&ndash;5 years of experience in data analysis or similar role
 </li>
 <li>
 Preferably with experience in the
 
 real estate sector
 
 </li>
 </ul>
 
 
</div>

Data Analyst Specialist - Outsource Sales Sector

<div><div>We help the world run better 
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</div> 
What you&rsquo;ll build: 
<ul><li>
Design and deliver governed data products, pipelines, semantic models, and analytics assets using SAP Business Data Cloud and SAP Datasphere.</li><li>
Translate business data and analytics requirements into scalable, governed data solutions.</li><li>
Integrate data from SAP systems (S/4HANA, BW, HANA) into unified enterprise data products, following SAP architecture principles and clean-core standards.</li><li>
Build dashboards, reports, and Insight Apps using SAP Analytics Cloud, connecting to semantic models and working with stakeholders to create trusted analytics solutions.</li><li>
Develop and optimize pipelines for analytical workloads (including OLAP) to support reporting, analytics, and AI.</li><li>
Maintain data governance (lineage, metadata, data quality) for production readiness, collaborating with AI architects and developers to align data for AI delivery.</li></ul> 
What you bring 
<ul><li>
Experience:<ul><li>
3&ndash;5 years in data engineering, analytics engineering, enterprise BI development, or enterprise data platform implementation.</li><li>
Proven track record delivering data solutions for production analytics environments.</li></ul></li><li>
SAP Data Platforms:<ul><li>
Hands-on experience with SAP Datasphere or SAP BW.</li><li>
Exposure to SAP Business Data Cloud and SAP Analytics Cloud.</li></ul></li><li>
Data Engineering &amp; Analytics:<ul><li>
Experience building data pipelines, semantic models, datasets, and governed data products.</li><li>
Strong SQL skills and analytical workload design (OLAP).</li></ul></li><li>
Programming &amp; Data Tools:<ul><li>
Familiarity with scripting tools for data engineering; exposure to Python data libraries (e.g., pandas) is a plus.</li></ul></li><li>
Data Governance:<ul><li>
Understanding of data lineage, metadata management, and data quality practices.</li></ul></li></ul> 
Where you belong 
<ul><li>
Governed data products built in SAP Datasphere are actively used by analytics and AI teams.</li><li>
SAP Analytics Cloud dashboards and reports are trusted and widely reused across teams.</li><li>
Data pipelines reliably support enterprise analytics and AI workloads.</li><li>
Semantic models and data products are reused rather than rebuilt on new projects.</li><li>
Business stakeholders quickly move from questions to trusted insights.</li></ul><div> 
Bring out your best 
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
We win with inclusion 
SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. 
 
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. 
 
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. 
 
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. 
 
Successful candidates might be required to undergo a background verification with an external vendor.</div><div></div><div> 
AI Usage in the Recruitment Process</div><div>
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
</div>Please note that any violation of these guidelines may result in disqualification from the hiring process. 
 
Requisition ID: 448416 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 90% | Career Status: Professional | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid</div>

SAP Business Data Cloud Specialist (One-Year Fixed Term contract)

MA'ADEN

<div>Job Purpose
The Principal Specialist, BU Data Domain is the owner of a specific Business Unit data domain, accountable for the semantic integrity, governance, quality, and fitness‑for‑purpose of all data products produced from that domain.
The role ensures that BU data and relevent digital initiative is transformed into trusted, governed, and reusable data products aligned with enterprise standards, while still reflecting the operational and decision‑making realities of the Business Unit. This position acts as the single point of accountability for domain definitions, KPIs, ownership, and data quality outcomes.
The Principal Specialist represents the domain in enterprise data forums, aligns with cross‑domain standards, and ensures the BU&rsquo;s data products integrate cleanly into enterprise reporting, analytics, and control frameworks. 
 Key Accountabilities
<div><ul><li>Act as the domain authority for all data entities, KPIs, and concepts within the assigned mining Business Unit domain.
</li></ul><ul><li>Participate in enterprise design and governance forums to align domain needs with cross‑domain and platform standards.
</li></ul><ul><li>Ensure domain data reflects actual business processes, operational constraints, and regulatory requirements.
</li></ul><ul><li>Work closely with data engineering and platform teams to ensure domain data products are implemented as designed.
</li></ul><ul><li>Act as the primary data representative for the Business Unit, engaging senior stakeholders on data definitions, KPIs, and data‑driven decisions.
</li></ul><ul><li>Translate BU needs into structured domain requirements that can be delivered consistently.
</li></ul><ul><li>Advocate for domain priorities while aligning with enterprise direction.
</li></ul><ul><li>Adapt enterprise standards to BU context without breaking consistency.
</li></ul></div>Minimum Qualification, Experience and Competencies
Minimum Qualification 
<ul><li>Bachelor&rsquo;s degree in Business, Engineering, Information Systems, Data Management, or related discipline
</li><li>Master&rsquo;s degree or equivalent domain experience is an advantage 
</li></ul>Minimum Experience
<ul><li>10+ years of experience within a Business Unit domain, data, analytics, or enterprise information management
</li><li>Demonstrated experience owning domain definitions, KPIs, and data quality outcomes
</li><li>Proven ability to influence senior business and technical stakeholders without direct authority
</li></ul>Skills:
<ul><li>Domain‑driven data ownership and KPI definition
</li><li>Data governance and stewardship operating models
</li><li>Data quality management and remediation leadership
</li><li>Strong business&ndash;technical translation capability
</li><li>Ability to align local domain needs with enterprise standards</li></ul></div>

Principal Specialist, BU Data Domain

MAGNOOS Information Systems

<div>
 
 Job Title
 
 
 
 
 Specialist - Data Governance
 
 
 
 
 Job Scope
 
 
 
 The Specialist - Data Governance is accountable for supporting projects and clients in ensuring that data is being used and managed in a way that is compliant, secure and beneficial to the organization. S/He develops and implements policies and procedures for managing data and ensures that these policies are followed by all stakeholders within the organization
 
 
 
 Main Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Define and implement data governance frameworks and processes for data management such as data quality, data security and data lineage;
 </li>
 <li>
 Collaborate with stakeholders to understand data requirements and design data governance processes accordingly;
 </li>
 <li>
 Define the main subject areas and data domains in the enterprise;
 </li>
 <li>
 Introduce stakeholder driven processes with roles and responsibilities;
 </li>
 <li>
 Identify and document data assets and their associated metadata, data lineage and data quality;
 </li>
 <li>
 Develop, implement and maintain data governance policies and procedures to ensure data is accurate, accessible and compliant with regulations;
 </li>
 <li>
 Identify and document data risks, sensitivity levels and classifications;
 </li>
 <li>
 Educate and train stakeholders on data governance to ensure compliance with related policies and procedures;
 </li>
 <li>
 Create and maintain data governance documentation including data dictionaries, data models and data lineage diagrams;
 </li>
 <li>
 Collaborate with other teams and departments such as compliance, IT and legal to ensure abidance to relevant regulations and laws;
 </li>
 <li>
 Monitor industry developments and regulations to ensure up to date and effective data governance processes.
 
 
 
 </li>
 </ul>
 
 Position Requirements
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Computer Engineering or any other related field
 
 
 
 Experience
 
 
 
 At least 3 to 5 years of relevant experience
 
 
</div>

Specialist - Data Governance

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