وظائف مدخل بيانات - جدة السعودية

<b>إعلان وظيفي – مدخل بيانات (Data Entry Clerk)</b><br>تعلن شركة عن توفر شاغر وظيفي بمسمى مدخل بيانات للانضمام إلى فريق العمل.<br><br><b>المؤهلات المطلوبة:</b><ul><li>دبلوم أو بكالوريوس في تخصص مناسب</li><li>خبرة لا تقل عن 5 سنوات في أعمال إدخال البيانات والإدارة المكتبية</li><li>خبرة في الإشراف على أعمال الأرشيف والتنسيق الإداري</li><li>إجادة استخدام برامج الحاسب الآلي وMicrosoft Office</li><li>مهارة عالية في تنظيم الملفات وإعداد التقارير والمتابعة الإدارية</li><li>القدرة على العمل تحت الضغط والدقة في إدخال البيانات</li></ul><br><b>المهام الوظيفية:</b><ul><li>إدخال وتحديث البيانات بدقة عالية</li><li>تنظيم وحفظ الملفات والأرشفة الورقية والإلكترونية</li><li>إعداد التقارير والمراسلات الإدارية</li><li>متابعة الأعمال المكتبية والتنسيق بين الإدارات</li><li>المحافظة على سرية المعلومات والبيانات</li></ul><br>مكان العمل: مكة المكرمة

<b>وظيفة مدخل بيانات – قسم الصيانة</b><br>تعلن شركة الإخوة المتحدة في السعودية - جدة عن توفر شاغر وظيفي بمسمى "مدخل بيانات – قسم الصيانة". نبحث عن شخص لديه الخبرة والمهارات اللازمة للانضمام إلى فريقنا.<p></p><p><b>المسؤوليات:</b></p><ul><li>إدخال وتحديث بيانات الصيانة الخاصة بالمعدات الثقيلة بدقة عالية.</li><li>متابعة أوامر الصيانة وإعداد التقارير الدورية (يومي / أسبوعي / شهري).</li><li>تنظيم وأرشفة سجلات الصيانة والإصلاحات وقطع الغيار.</li><li>التنسيق مع فريق الصيانة والمشرفين لضمان تحديث البيانات بشكل مستمر.</li></ul><p><b>المتطلبات:</b></p><ul><li>خبرة لا تقل عن سنة في مجال إدخال البيانات، ويفضل في مجال الصيانة أو المقاولات.</li><li>إجادة استخدام الحاسب الآلي وبرامج Excel و Word بشكل متقدم.</li><li>معرفة أساسية بالمعدات الثقيلة وأعمال الصيانة تُعد ميزة إضافية.</li></ul><p>إذا كنت مؤهلاً ومهتمًا بالانضمام إلينا، يرجى إرسال سيرتك الذاتية.</p>

<p><strong>Data Entry – Remote Working</strong></p><p>We are looking for a <strong>Data Entry / Basic Administrative Staff</strong> who can manage basic administrative tasks using a laptop or computer. The role includes handling Microsoft Excel and Word sheets, organizing files, and performing general data entry tasks.</p><h3>Skills</h3><ul><li>Basic computer skills.</li></ul><h3>Preferred Candidate</h3><ul><li><strong>Years of Experience:</strong> 0 – 2 years</li><li><strong>Degree:</strong> Certification / Diploma</li><li><strong>Career Level:</strong> Student / Internship</li></ul><p>&nbsp;</p><p>&nbsp;</p>

We are looking for a detail-oriented Data Entry Officer to join our HR team. The ideal candidate should be organized, fast in data entry, comfortable using computers, and able to maintain accurate employee records while ensuring confidentiality.<br><br>Responsibilities<br><br>Enter and update employee information in HR systems Maintain accurate and organized employee records Review data for accuracy and completeness Prepare HR reports and spreadsheets Scan, upload, and organize employee documents Support the HR team with administrative tasks Ensure confidentiality of employee information<br><br><br>Requirements<br><br>Diploma or Bachelor's degree in Business Administration, Human Resources, Information Technology, or a related field Minimum 3 months of relevant experience in Data Entry, Administration, or HRStrong computer skills and the ability to work with different systems Proficiency in Microsoft Office, especially Excel and Word Fast and accurate typing skills with strong attention to detail Good organizational and time management skills Ability to work under pressure and meet deadlines Good communication skills in English and Arabic Fresh graduates with internship or practical experience are encouraged to apply

About AmCan International Group®<br>AmCan®is the leading distributor of specialty wellness products across the MENA region, with a network spanning over 18 countries and more than 3,000 points of sale. Headquartered in Dubai, the company represents 15+ global brands in sports nutrition, vitamins, and healthy snacks. With decades of experience in FMCG, a fully integrated ERP system, and robust physical and IT infrastructure, AmCan® enables international brands to scale efficiently across the Middle East.<br><br>Data Entry Clerk<br>Key Responsibilities Enter and update sales, inventory, delivery, and operational data accurately in the system and Excel sheets. Prepare and maintain daily and weekly Excel reports. Follow up with drivers regarding deliveries, collection schedules, and required documents. Coordinate and follow up with the warehouse team regarding order preparation, dispatch, delivery status, and stock related updates. Maintain accurate records and ensure all documents are properly filed. Support the Operations and Supply Chain team with general administrative and reporting tasks.<br>Requirements Saudi. Location: Jeddah, Saudi Arabia. Bachelor's degree in Business Administration or a related field.2+ years of experience as a Data Entry Clerk or in a similar role. Experience in the FMCG, trading, retail, or warehouse sector. Experience in Warehouse Management and Operations. Good knowledge of Microsoft Excel, including formulas, sorting, filtering, and data organization. Good communication skills and the ability to follow up on pending tasks.<br>What We Offer:Health insurance. Professional development opportunities. A collaborative and dynamic work environment.

Since 2004, 2P has been at the forefront of Saudi Arabia’s ICT landscape, delivering integrated technology solutions that help organizations accelerate digital transformation and enhance operational efficiency. With a strong foundation in innovation and service excellence, 2P continues to provide end-to-end solutions through its specialized business units and trusted market expertise. We are always looking to connect with talented individuals who are passionate about making an impact and growing within a dynamic, forward-looking environment.<br>We are pleased to announce a Tamheer training opportunity for a Data Entry Supervisor within our Human Resources Department in Riyadh. This opportunity is designed for diploma graduates who are interested in starting their professional careers and gaining practical experience in HR data management, employee records, documentation, and administrative operations. The trainee will work closely with the Human Resources team to maintain accurate employee information, organize HR documents, update internal systems, and support the department’s daily administrative activities. This opportunity is ideal for an organized and detail-oriented graduate who values accuracy, confidentiality, and professionalism.<br>Key Responsibilities• Enter and update employee information accurately in HR systems and databases.• Review data and documents to ensure accuracy and completeness.• Maintain organized and up-to-date employee files and HR records.• Support the preparation, classification, and archiving of HR documents.• Verify entered information and correct any identified errors or inconsistencies.• Assist in preparing HR reports, spreadsheets, and data summaries.• Track missing information and coordinate with relevant team members to complete records.• Maintain confidentiality when handling employee and company information.• Support the HR team with daily administrative and data-related activities.• Organize electronic and physical files in accordance with internal procedures.• Assist in improving the accuracy and quality of HR records.• Complete assigned tasks within the required timelines.• Follow the company’s data-protection and confidentiality procedures.• Collaborate effectively with members of the Human Resources team.<br>Qualifications and Requirements• Diploma qualification.• Must meet the eligibility requirements of the Tamheer Program.• Good knowledge of Microsoft Office applications, particularly Microsoft Excel.• Strong attention to detail and commitment to accuracy.• Good organizational and time-management skills.• Ability to handle confidential information professionally.• Good verbal and written communication skills.• Ability to work effectively independently and as part of a team.• Willingness to learn and develop in a professional Human Resources environment.• Ability to work on-site in Riyadh.<br>Key Skills Data Entry • HR Data Management • Employee Records • Microsoft Excel • Microsoft Office • Documentation • File Management • Data Accuracy • Administrative Support • Attention to Detail • Organization • Time Management • Confidentiality • Teamwork

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Protection &amp; Privacy Specialist, you will support the organization's data privacy and protection initiatives by assisting in compliance activities, privacy risk assessments, Data Protection Impact Assessments (DPIAs), policy development, and awareness programs. You will collaborate with internal stakeholders to ensure personal data is processed securely and in accordance with applicable regulations. Key Responsibilities Support compliance with applicable data protection and privacy regulations, including the Saudi Personal Data Protection Law (PDPL) and NCA Data Cybersecurity Controls (DCC). Assist in identifying and assessing privacy risks associated with business processes and data processing activities. Support the development, review, and maintenance of privacy policies, procedures, and standards. Contribute to the implementation and continuous improvement of the organization's Data Protection &amp; Privacy Program. Assist in investigating privacy incidents and documenting findings and corrective actions. Support the execution of Data Protection Impact Assessments (DPIAs). Participate in privacy awareness campaigns and employee training programs. Coordinate with business units, Legal, IT, and external stakeholders to support compliance initiatives. Assist in data classification and governance activities. Monitor changes in privacy regulations and recommend improvements where appropriate. Prepare reports and documentation related to privacy compliance and governance activities.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Cybersecurity, Information Security, Computer Engineering, Systems Engineering, Telecommunications Engineering, Information Technology, or a related field. Minimum one year of experience in Cybersecurity, Data Protection, Privacy Compliance, Information Security, or completion of a Tamheer program in Data Protection &amp; Privacy. Understanding of Saudi Personal Data Protection Law (PDPL). Familiarity with NCA Data Cybersecurity Controls (DCC). Knowledge of privacy principles, data classification, and information governance. Understanding of Data Protection Impact Assessments (DPIAs) is preferred. Professional certifications in cybersecurity or data privacy (e.g., CDPSE, CIPM, CIPT, CIPP/E, ISO 27701, Security+) are an advantage. What We're Looking For Strong analytical and critical thinking skills. Excellent attention to detail. Effective communication and stakeholder engagement. Strong organizational and documentation skills. Ability to work collaboratively across departments. Passion for privacy, compliance, and continuous learning.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Role Purpose</strong></p><p>Lead the strategy, operation, and governance of the organization's Data Platform and Data Management functions to deliver a secure, scalable, and robust analytics platform while ensuring compliance with Saudi data regulations, governance standards, KPIs, budgets, and organizational policies.</p><br><p><strong>Key Responsibilities</strong></p><p><strong>Strategic Leadership</strong></p><ul><li><p>Develop vision, strategy, and roadmap for Data Platform &amp; Data Management.</p></li><li><p>Lead enterprise data governance initiatives.</p></li><li><p>Implement Saudi data regulations (SDAIA, NDMO, NCA).</p></li><li><p>Drive innovation and continuous improvement.</p></li><li><p>Align technical teams with business objectives.</p></li><li><p>Plan analytics platform capabilities.</p></li><li><p>Manage PMO for enterprise data governance.</p></li><li><p>Ensure regulatory compliance.</p></li></ul><br><p><strong>Planning &amp; Budget</strong></p><ul><li><p>Develop departmental operational plans.</p></li><li><p>Support annual budgeting.</p></li><li><p>Monitor KPIs and financial performance.</p></li><li><p>Mitigate operational and financial risks.</p></li></ul><p><br><strong>Operational Leadership</strong></p><ul><li><p>Lead Data Engineers, Analytics Developers, Architects, Infrastructure &amp; Network Engineers.</p></li><li><p>Mentor and coach engineering teams.</p></li><li><p>Conduct performance reviews.</p></li><li><p>Build career development plans.</p></li><li><p>Recruit and retain top talent.</p></li><li><p>Manage department productivity and project pipeline.</p></li></ul><br><p><strong>Executive &amp; Stakeholder Management</strong></p><ul><li><p>Present reports to senior leadership.</p></li><li><p>Work closely with C-suite executives.</p></li><li><p>Drive stakeholder engagement.</p></li><li><p>Promote analytics adoption.</p></li><li><p>Manage executive expectations.</p></li><li><p>Secure business buy-in for analytics initiatives.</p></li></ul><br><p><strong>Analytics Solution Management</strong></p><ul><li><p>Lead analytics product development.</p></li><li><p>Guide software engineering teams.</p></li><li><p>Develop analytics solution roadmaps.</p></li><li><p>Ensure scalable and reliable analytics platforms.</p></li><li><p>Measure business value of analytics initiatives.</p></li><li><p>Identify new analytics opportunities.</p></li></ul><br><p><strong>Engineering Management</strong></p><ul><li><p>Define enterprise Data Platform architecture.</p></li><li><p>Implement Agile methodologies.</p></li><li><p>Lead DevOps and CI/CD adoption.</p></li><li><p>Establish engineering standards.</p></li><li><p>Manage technical debt.</p></li><li><p>Improve system performance and scalability.</p></li><li><p>Conduct architecture and code reviews.</p></li><li><p>Monitor project risks and delivery.</p></li></ul><br><p><strong>Innovation &amp; Continuous Improvement</strong></p><ul><li><p>Evaluate emerging technologies.</p></li><li><p>Pilot new tools and platforms.</p></li><li><p>Promote knowledge sharing.</p></li><li><p>Organize innovation sessions.</p></li><li><p>Support certifications and technical training.</p></li></ul><br><p><strong>People Management</strong></p><ul><li><p>Lead and mentor direct reports.</p></li><li><p>Support recruitment activities.</p></li><li><p>Foster a high-performance culture.</p></li><li><p>Ensure compliance with company policies.</p></li></ul><br><p><strong>Required Experience</strong></p><ul><li><p>Minimum 9 years in technology.</p></li><li><p>Minimum 4 years in a managerial role.</p></li><li><p>Experience managing Data Engineering or Data Platform teams.</p></li><li><p>Experience delivering enterprise Data Platform projects.</p></li><li><p>Hands-on experience with cloud platforms (AWS, Azure, or GCP).</p></li><li><p>Strong experience with Agile, DevOps, CI/CD, Git, and Jira/Azure DevOps.</p></li><li><p>Knowledge of data modeling, data warehousing, big data technologies, and cloud computing.</p></li></ul><br><p><strong>Education</strong></p><ul><li><p>Bachelor's Degree in:</p></li></ul><p>o Computer Science</p><p>o Computer Engineering</p><p>o Information Technology</p><p>o Cybersecurity</p><p>o Or equivalent.</p><br><p><strong>Preferred Candidate Profile</strong></p><ul><li><p>Senior Data Platform or Data Engineering Manager.</p></li><li><p>Experience leading enterprise analytics platforms.</p></li><li><p>Strong cloud-native architecture expertise.</p></li><li><p>Experience implementing data governance frameworks.</p></li><li><p>Proven leadership of cross-functional engineering teams.</p></li><li><p>Strong communication and C-suite stakeholder management skills.</p></li><li><p>Experience with enterprise-scale analytics and data modernization initiatives.</p></li><li><p>Knowledge of Saudi government data compliance frameworks (SDAIA, NDMO, NCA).</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>.</p><p></p></section>

<p>The Data Analytics & Reporting Manager is responsible for developing and managing data analytics, business intelligence, and reporting solutions to support organizational decision-making and performance management. The role will lead the transformation of existing Excel-based trackers and manual reporting processes into automated dashboards and analytics solutions using Power Bl and SAP Analytics Cloud (SAC), providing management with accurate, real-time insights and performance visibility. • Lead the development, implementation, and maintenance of Power Bl and SAP Analytics Cloud (SAC) dashboards and reporting solutions. • Transform existing Excel-based trackers, reports, and manual data processes into automated and scalable business intelligence solutions. • Design and maintain data models, KPls, scorecards, and executive dashboards to support strategic and operational decision-making. • Integrate data from multiple sources, including ERP systems, project controls systems, SharePoint, Excel databases, and other business applications. • Ensure data accuracy, consistency, integrity, and governance across reporting platforms. • Develop automated reporting processes to reduce manual effort and improve reporting efficiency. • Analyze business and project performance data and provide actionable insights and recommendations to management. • Support portfolio, project, financial, commercial, and operational reporting requirements. • Work closely with business stakeholders to identify reporting needs and translate them into effective analytics solutions. • Establish reporting standards, templates, and data visualization best practices across the organization. • Provide training and support to users on Power Bl, SAC, and reporting tools. • Continuously identify opportunities to enhance reporting capabilities and leverage advanced analytics techniques.</p><p>• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Engineering, Business Administration, or a related field. • 5-10 years of experience in data analytics, business intelligence, reporting, or performance management. • Advanced proficiency in Power Bl, including DAX, Power Query, data modeling, and dashboard development. • Hands-on experience with SAP Analytics Cloud (SAC) and enterprise reporting platforms. • Strong experience in data integration, ETL processes, and database management. • Advanced Excel and data analysis skills. • Experience supporting project controls, PMO, finance, development, or portfolio management functions is preferred. • Strong analytical, problem-solving, and stakeholder management skills. • Reduction in manual reporting and Excel-based tracking activities. • Increased automation and standardization of management reporting. • Improved data quality and reporting accuracy. • Timely delivery of executive dashboards and performance reports. • Enhanced visibility of organizational KPls, project performance, and business metrics.</p>

<p>The Data Analytics & Reporting Manager is responsible for developing and managing data analytics, business intelligence, and reporting solutions to support organizational decision-making and performance management. The role will lead the transformation of existing Excel-based trackers and manual reporting processes into automated dashboards and analytics solutions using Power Bl and SAP Analytics Cloud (SAC), providing management with accurate, real-time insights and performance visibility. • Lead the development, implementation, and maintenance of Power Bl and SAP Analytics Cloud (SAC) dashboards and reporting solutions. • Transform existing Excel-based trackers, reports, and manual data processes into automated and scalable business intelligence solutions. • Design and maintain data models, KPls, scorecards, and executive dashboards to support strategic and operational decision-making. • Integrate data from multiple sources, including ERP systems, project controls systems, SharePoint, Excel databases, and other business applications. • Ensure data accuracy, consistency, integrity, and governance across reporting platforms. • Develop automated reporting processes to reduce manual effort and improve reporting efficiency. • Analyze business and project performance data and provide actionable insights and recommendations to management. • Support portfolio, project, financial, commercial, and operational reporting requirements. • Work closely with business stakeholders to identify reporting needs and translate them into effective analytics solutions. • Establish reporting standards, templates, and data visualization best practices across the organization. • Provide training and support to users on Power Bl, SAC, and reporting tools. • Continuously identify opportunities to enhance reporting capabilities and leverage advanced analytics techniques.</p><p>• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Engineering, Business Administration, or a related field. • 5-10 years of experience in data analytics, business intelligence, reporting, or performance management. • Advanced proficiency in Power Bl, including DAX, Power Query, data modeling, and dashboard development. • Hands-on experience with SAP Analytics Cloud (SAC) and enterprise reporting platforms. • Strong experience in data integration, ETL processes, and database management. • Advanced Excel and data analysis skills. • Experience supporting project controls, PMO, finance, development, or portfolio management functions is preferred. • Strong analytical, problem-solving, and stakeholder management skills. • Reduction in manual reporting and Excel-based tracking activities. • Increased automation and standardization of management reporting. • Improved data quality and reporting accuracy. • Timely delivery of executive dashboards and performance reports. • Enhanced visibility of organizational KPls, project performance, and business metrics.</p>

To provide accurate and timely administration, data management, and operational support across Portfolio Management, Business Development, Procurement, and SAP processes. The role is responsible for maintaining business-critical data, ensuring system accuracy, supporting project tracking and launches, and enabling efficient cross-functional operations in alignment with STADA's values of Entrepreneurship, Agility, Integrity, and ONE STADA collaboration. Key Responsibilities Portfolio & Business Development Administration Maintain and update Portfolio and Business Development information across all relevant platforms, including 1P!, Smartsheet, LDS, NLs, Share Point, SAP, and other business systems. Ensure timely and accurate entry, tracking, and reporting of project information, milestones, launch plans, and portfolio status updates. Manage and maintain launch trackers, project dashboards, and portfolio reporting tools. Support the administration and tracking of licensing opportunities, business development projects, contracts, and partner databases. Coordinate documentation, data collection, and administrative activities related to evaluations, due diligence, launches, and commercialization projects. Ensure data integrity, consistency, and compliance across all portfolio and business development systems. SAP & Master Data Management Support SAP material creation, extension, and maintenance activities in coordination with cross-functional stakeholders. Act as SAP Purchase Order (PO) Administrator across STADA KSA+ entities. Coordinate vendor creation and master data management processes to ensure timely onboarding and compliance with company requirements. Provide system support and coordination for Purchase-to-Pay (P2P) processes. Maintain accurate records and ensure adherence to internal controls and governance requirements. Compliance & Operational Excellence Support compliance with procurement policies, including tendering and RFQ processes for suppliers outside approved vendor lists. Coordinate with Medical, Finance, and Procurement teams to ensure supplier compliance regarding contracts, payment terms, and payment processes. Monitor data quality and process adherence across all assigned systems and workflows. Identify opportunities for process improvement, automation, and standardization to enhance operational efficiency. Reporting & Analytics Prepare regular reports, dashboards, and performance trackers related to portfolio activities, launches, procurement, and business development projects. Monitor project timelines and key milestones, escalating delays or risks when required. Support management with accurate data and insights to facilitate decision-making. Cross-Functional Coordination Collaborate with Commercial, Supply Chain, Finance, Regulatory, Medical, Quality, and Procurement teams to ensure smooth execution of business activities. Provide administrative and operational support for strategic projects and cross-functional initiatives. Support continuous improvement initiatives that strengthen collaboration and operational effectiveness across STADA KSA+. Qualifications & Experience Bachelor's degree in Business Administration, Information Systems, Supply Chain, Finance, Pharmacy, or a related field.1–3 years of experience in data administration, project coordination, portfolio management support, procurement operations, or SAP administration. Experience working with ERP systems, preferably SAP. Strong proficiency in Microsoft Excel, Power Point, Share Point, and data management tools. Experience with project tracking platforms such as Smartsheet is an advantage. Competencies Strong attention to detail and data accuracy. Analytical and problem-solving mindset. Effective planning and organizational skills. Ability to manage multiple priorities and deadlines. Strong communication and stakeholder coordination skills. Continuous improvement and process optimization mindset. High level of integrity and compliance awareness. Collaborative approach aligned with ONE STADA culture.

About Masdr<br>Masdr provides integrated digital data and business solutions to public and private sector organizations, enabling operational efficiency, enhanced customer experience, data-driven decision-making, and compliance with evolving regulatory requirements through advanced digital technologies and enterprise solutions.<br><br>Job Purpose<br>Lead and govern Masdr’s enterprise data architecture landscape, ensuring the design and implementation of scalable, secure, and governed data platforms that support analytics, data products, AI initiatives, and enterprise data strategy. Drive data architecture standards, integration frameworks, data governance practices, and continuous improvement initiatives to enable reliable, high-quality, and business-driven data capabilities across the organization.<br><br>Key Responsibilities<br>Data Architecture & Governance<br>Define, maintain, and govern enterprise data architecture principles, standards, frameworks, and best practices across the organization. Own enterprise data models, data domains, architecture standards, and reference architectures to strengthen data architecture maturity. Design scalable, observable, secure, and cost-efficient data architecture patterns for data ingestion, storage, processing, and access. Ensure data architecture aligns with enterprise technology strategy, cybersecurity requirements, data governance policies, and regulatory obligations. Lead architecture reviews and provide expert guidance on data initiatives, platform enhancements, integrations, and modernization efforts. Establish and maintain architecture decision logs, reference models, lineage artifacts, and data lifecycle management practices.<br>Data Platforms, Integration & Enablement<br>Define and govern data integration standards, exchange models, and data-as-a-product principles to ensure interoperability across enterprise systems and APIs. Design architecture patterns that embed security, access control, auditability, lineage, and compliance by default. Ensure data platforms effectively support operational, analytical, AI/ML, and business intelligence workloads. Translate analytics, AI, and data monetization requirements into future-state data architecture and platform capabilities. Guide the evolution of the enterprise data platform roadmap with clear technical and business justification. Evaluate emerging technologies and recommend architectural improvements that enhance scalability, innovation, and business value.<br>Operational Excellence & Continuous Improvement<br>Drive continuous improvement initiatives across data architecture, governance, integration, and platform capabilities. Establish architecture governance processes, quality controls, and performance standards to ensure sustainable and reliable data operations. Identify data architecture risks, technical gaps, and optimization opportunities, ensuring timely mitigation and resolution. Promote architecture best practices, standards adoption, and operational efficiency across data teams. Support the implementation of data lifecycle management, observability, and performance optimization practices.<br>Stakeholder Management & Collaboration<br>Collaborate with business leaders, product teams, engineering teams, analytics teams, and technology stakeholders to ensure alignment between business objectives and data architecture strategy. Act as a trusted advisor on enterprise data architecture, data governance, data platforms, and modernization initiatives. Partner closely with Data Engineering, Analytics, AI, and Product teams to deliver scalable and business-focused data solutions. Facilitate alignment between enterprise architecture, cybersecurity, infrastructure, and data management functions. Support cross-functional collaboration to drive data-driven transformation initiatives across the organization.<br>Community Development & Knowledge Sharing<br>Mentor and develop data architects, engineers, and data professionals on architecture principles, governance standards, and best practices. Drive knowledge-sharing initiatives and contribute to the growth of the organization’s data architecture capabilities. Stay informed about emerging trends, technologies, and industry best practices in data architecture, cloud data platforms, analytics, and AI. Perform additional responsibilities as assigned by management.<br><br>Qualifications & Experience<br>Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field. Minimum 5–6 years of experience in Data Architecture and Data Engineering, with strong expertise in scalable data platform design, data modeling, data integration, and data governance frameworks. Strong understanding of enterprise data architecture principles, data governance frameworks, and data management best practices. Experience designing and implementing modern data platforms, data lakes, data warehouses, and data integration solutions. Knowledge of cloud data technologies, analytics platforms, AI/ML data requirements, and enterprise data ecosystems. Experience establishing data standards, architecture governance processes, and data lifecycle management practices. Familiarity with cybersecurity principles, regulatory compliance requirements, metadata management, and data lineage concepts. Experience working with technology vendors, cloud providers, and data platform partners. Strong analytical, problem-solving, stakeholder management, communication, and leadership capabilities.

Job Description – Data Architect Job Title: Data Architect<br>Experience: 8–10 Years / 12–18 Years<br>Employment Type: Full-Time<br>Location: Riyadh, Saudi Arabia (Preferred) / Egypt / Jordan / Pakistan / India Role Overview We are seeking an experienced Data Architect to design, implement, and govern enterprise-scale data architecture solutions that support business transformation and analytics initiatives. The ideal candidate will define enterprise data standards, architecture frameworks, and governance practices while collaborating with business and technology stakeholders to deliver scalable, secure, and high-quality data solutions. Key Responsibilities Design and maintain enterprise data architecture, data models, and data integration frameworks Define and implement data architecture standards, best practices, and governance principles Collaborate with business and technical stakeholders to translate business requirements into scalable data solutions Lead data modeling, data integration, and information management initiatives across the enterprise Ensure data quality, consistency, security, and compliance across enterprise data platforms Provide architectural guidance for cloud data platforms, analytics, and modernization programs Develop enterprise data roadmaps aligned with organizational strategy Present architecture recommendations and solution designs to business and executive stakeholders Must Have8–10 years or 12–18 years of experience in Data Architecture, Enterprise Data Management, or a related field TOGAF and/or DAMA Certification (Mandatory). Strong expertise in:Enterprise Data Architecture Data Governance Data Modeling Master Data Management (MDM) Data Integration Metadata Management Excellent business communication, stakeholder management, and presentation skills Ability to engage with senior business and technology leadership Good to Have Experience with cloud data platforms (Azure, AWS, or GCP) Knowledge of Data Warehouse, Data Lake, and Lakehouse architectures Familiarity with enterprise architecture frameworks and modern data management practices Experience working in Agile delivery environments

About the Company King Salman International Airport is one of the world's most ambitious airport development projects, designed to redefine the future of aviation and contribute to Saudi Arabia’s Vision 2030. The airport aims to become a leading global hub by delivering world-class passenger experiences, operational excellence, and innovation-driven services.<br>About the Role We are seeking a Specialist – Data Management and Operations to support the implementation and enhancement of data management practices across the organization. The successful candidate will contribute to data governance, data quality, metadata management, and data analytics initiatives while ensuring compliance with organizational standards and regulatory requirements.<br>Responsibilities Support data quality management activities to ensure data accuracy, completeness, consistency, and reliability. Monitor data throughout its lifecycle, including creation, storage, usage, archival, and deletion in accordance with retention policies. Establish and maintain metadata repositories to improve data accessibility and utilization. Ensure data is captured, managed, and utilized effectively from relevant sources. Conduct data analysis and generate insights to support data-driven decision-making. Identify data quality issues and support corrective actions to improve data integrity and usability. Develop reports and dashboards to assess the effectiveness of data management and governance initiatives. Support the implementation of data governance frameworks, standards, policies, and procedures. Collaborate with stakeholders to promote effective data management practices across the organization.<br>Qualifications Bachelor’s degree or higher in Information Technology, Computer Science, Information Systems, Data Management, or a related field.2–3 years of relevant experience in Data Management, Data Governance, Data Quality, Data Analytics, or related disciplines. Experience working with enterprise data management practices is preferred.<br>Required Skills Data Governance Data Management Data Quality Metadata Management Data Analytics Data Lifecycle Management Data Privacy Reporting & Dashboarding Stakeholder Management Excellent command of the English language (written and verbal)<br>Location Riyadh, Saudi Arabia (On-site)

???? We're Hiring: Informatica Data Quality Analyst???? Location: Saudi Arabia???? Contract Opportunity - 1 year minimum???? Industry: Banking & Financial Services<br>We're seeking an experienced Informatica Data Quality Analyst to join a leading banking organisation's Data Governance team in Saudi Arabia. This is an exciting opportunity to play a key role in improving the quality, integrity, and governance of critical banking data while supporting major regulatory and digital transformation initiatives.<br>About the Role As an Informatica Data Quality Analyst, you'll be responsible for profiling, measuring, and improving the quality of enterprise data using Informatica Data Quality (IDQ) and Informatica Cloud Data Quality (CDQ/IDMC). You'll work closely with business stakeholders, data stewards, and governance teams to define data quality rules, investigate issues, and drive continuous improvement across critical banking data domains.<br>Key Responsibilities✔ Profile data from core banking and source systems to identify missing values, duplicates, anomalies, and data quality issues.✔ Design, develop, and maintain data quality rules covering:Completeness Accuracy Validity Consistency Uniqueness Timeliness✔ Identify and monitor Critical Data Elements (CDEs) and produce data quality scorecards, KPIs, and management reporting.✔ Perform root cause analysis and coordinate remediation activities to improve data quality across enterprise systems.✔ Support regulatory compliance initiatives, including BCBS 239, NDMO, and PDPL, by implementing auditable data quality controls.✔ Collaborate with data stewards, business users, and technical teams to validate business rules and quality thresholds.<br>Required Skills & Experience Minimum two years hands-on experience with Informatica Data Quality (IDQ) and/or Informatica Cloud Data Quality (CDQ/IDMC) Strong SQL and data profiling skills Experience performing root cause analysis and data quality remediation Understanding of banking data domains, including customer, account, product, and transaction data Knowledge of data governance principles, Critical Data Elements (CDEs), and data quality frameworks Excellent analytical, documentation, and stakeholder management skills<br>Desirable Experience Banking or financial services experience Knowledge of enterprise data governance frameworks Experience supporting regulatory reporting and compliance programmes Exposure to large-scale data transformation or modernisation initiatives<br>???? Interested? Apply today with your CV

General Description<br>Join a leading banking transformation program in Riyadh supporting a major financial institution's enterprise data governance initiative.<br>We are looking for an experienced Informatica Data Quality Analyst to support enterprise-wide data quality management, profiling, monitoring, and remediation initiatives using Informatica Data Quality (IDQ) On-Premises.<br>The consultant will work closely with Data Governance, Business, Data Management, and Technology teams to improve data accuracy, consistency, completeness, and regulatory compliance across critical banking domains.<br>This is a 6-month contract engagement with strong potential for extension.<br>Key Responsibilities<br>Design, develop, and maintain data quality rules, scorecards, and validation processes using Informatica Data Quality (IDQ) On-Premises. Perform data profiling, data discovery, and quality assessments across enterprise banking data assets. Analyze data quality issues, identify root causes, and recommend remediation strategies. Collaborate with business stakeholders to define business rules, data quality standards, and validation requirements. Monitor enterprise data quality metrics and prepare dashboards and reports for governance teams. Support data cleansing, standardization, matching, and deduplication initiatives. Work closely with ETL, Data Engineering, and Database teams to resolve data quality issues. Document data quality rules, technical specifications, and governance processes. Participate in User Acceptance Testing (UAT) and validate data quality improvements. Ensure compliance with enterprise data governance policies and banking regulatory requirements. Support production deployments, issue investigations, and ongoing optimization of Informatica IDQ solutions. Provide recommendations to improve overall data quality processes and governance maturity.<br>Required Skills Strong hands-on experience with Informatica Data Quality (IDQ) On-Premises. Experience developing and maintaining data quality rules, scorecards, and validation frameworks. Strong knowledge of data profiling, data cleansing, data standardization, matching, and deduplication techniques. Experience with Informatica Power Center and ETL processes. Strong SQL skills with experience querying and validating large datasets. Experience working with Oracle, SQL Server, or other enterprise relational databases. Understanding of enterprise Data Governance and Data Management principles. Experience performing root cause analysis and data quality issue remediation. Knowledge of metadata management and enterprise data lifecycle concepts. Strong analytical, troubleshooting, and problem-solving skills. Experience working with business stakeholders to define data quality requirements and business rules. Excellent documentation, communication, and stakeholder management skills. Ability to work in Agile or hybrid project delivery environments.<br>Preferred Experience Banking or financial services industry experience. Experience supporting enterprise data governance initiatives. Experience working with customer, accounts, loans, payments, treasury, risk, or regulatory reporting data domains. Familiarity with BCBS239, Basel, AML, KYC, or other banking regulatory frameworks. Experience with Informatica Axon or Informatica Enterprise Data Catalog (EDC). Experience supporting enterprise data warehouse or data lake environments. Exposure to Master Data Management (MDM) solutions. Experience participating in UAT, production deployments, and production support. Relevant Informatica certifications are an advantage.

We are hiring for Data Architect to join one of our major clients based out of KSA.<br><br>Job Details:<br>Role: Data Architect Work Location: Riyadh, KSAEmployment Type- Contract - 12 months & extendable<br><br>Role Summary:<br>We are seeking an experienced Data Architect to lead the enterprise data architecture across large and diverse application landscape, ensuring data is well-structured, governed, secure, and reusable across operational, analytical, and digital use cases. The role operates within the Enterprise and Solution Architecture CoEs and ensure s alignment with Saudi national data regulations and standards (including NDMO and SDAIA)<br>Job Description:<br>Own and govern the end-to-end enterprise data architecture across the application domains, including ERP (Oracle EBS and Oracle Fusion), Customer Care & Billing (C2M), Operations systems (WFM, GIS, SCADA, AMR, TMS, LIMS) Define and maintain data architecture standards and patterns covering Operational (transactional) data, Analytical and reporting data, Master and reference data, Data integration and replication Act as the data design authority for initiatives involving Oracle databases and schemas, Data replication (e.g., Oracle Golden Gate), ETL / ELT pipelines (e.g., Microsoft SSIS) Work closely with the Data Management Office (DMO) to Ensure NDMO and SDAIA compliance is embedded in data designs<br>Experience & Skills:<br>10–15 years of total IT experience, with deep focus on data architecture and data platform design.5+ years in a Data Architect or equivalent senior data design role. Proven hands-on and architectural experience with Oracle databases in mission-critical environments. Practical experience with Microsoft SSIS for enterprise data integration, Oracle Golden Gate or similar replication technologies Solid understanding of Data modeling (conceptual, logical, physical), Operational vs analytical data patterns, Master and reference data concepts, Data quality, metadata, and lineage Familiarity with Saudi data regulatory frameworks, including NDMO policies and SDAIA data governance expectations.

Job Purpose The Enterprise Data Architect designs, governs, and maintains our organization's enterprise-wide data architecture to support clinical, operational, financial, and analytical needs — ensuring healthcare data is structured, integrated, secure, and scalable to enable interoperability, regulatory compliance, and data-driven decision-making. This role plays a strategic part in aligning data architecture with organizational strategy, national data standards, and healthcare regulatory requirements in Saudi Arabia.<br>Key Responsibilities<br>Enterprise Data Architecture Design Define and maintain the enterprise data architecture blueprint (conceptual, logical, physical models) Design scalable data platforms supporting HIS, EMR, ERP, data warehouses, and analytics ecosystems Establish standards for data modeling, naming conventions, metadata, and data lineage Data Integration & Interoperability Design data integration frameworks across clinical and administrative systems Support standards such as HL7, FHIR, ICD-10, and SNOMEDEnsure consistency and integrity of master and reference data Data Governance & Compliance Embed governance, data quality, and privacy-by-design principles into architecture Ensure compliance with Saudi PDPL, NDMO, and MOH regulations Partner with Data Quality and Data Protection teams Analytics & Platform Enablement Design architectures supporting BI, advanced analytics, and AI/ML platforms Enable enterprise dashboards with trusted data sources Support cloud, hybrid, and on-premise architectures per Saudi data residency requirements Standards, Documentation & Roadmap Maintain data architecture standards, principles, and reference architectures Document data flows, system interfaces, and architectural decisions Contribute to the enterprise data roadmap Advisory & Stakeholder Engagement Serve as trusted advisor to IT, analytics, clinical, and business teams Review solution designs for architectural alignment Support vendor selection and evaluation<br>Requirements Education & Certifications Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field TOGAF Certification (highly desirable) CDMP – Certified Data Management Professional (preferred) Experience8–12 years in data architecture, information architecture, or enterprise data management (healthcare sector preferred) Strong knowledge of TOGAF and DAMA-DMBOK frameworks Experience with healthcare systems (HIS, EMR, LIS, RIS, ERP) Deep understanding of NDMO Data Architecture Domain and Saudi PDPLSkills Strategic planning in healthcare/government sectors Strong communication, mediation, and conflict resolution Fluency in Arabic and English (verbal & written) Proficiency in MS Office (Word, Excel, Power Point, Outlook) Location: Saudi Arabia

We are looking for an experienced Data Integration & BI Architect to lead the design and implementation of a digital sales data and dashboard ecosystem. The role will be responsible for integrating multiple platforms including e Commerce, CRM, analytics, customer experience (CX), pricing, and backend systems into a unified and scalable data architecture. The successful candidate will establish reliable data pipelines and models while taking end-to-end ownership of high-performance Power BI dashboards that support executive and operational decision-making. This is a highly hands-on role requiring strong expertise across data integration, data architecture, data modeling, BI development, data quality, and performance optimization.<br>Key Responsibilities Data Integration & Architecture Design and implement scalable data architecture connecting e Commerce, CRM, analytics, CX, pricing, and backend systems. Develop and manage robust data pipelines using APIs and ETL/ELT processes. Define appropriate real-time and batch data flows based on business and reporting requirements. Design integration patterns that support scalability, reliability, and performance. Ensure secure handling of customer-level and business-sensitive data. Collaborate with IT and application teams to resolve integration and data-flow issues. Data Modeling & Single Source of Truth Design scalable data models covering customer, sales funnel, policy, and digital channel data. Establish and maintain a Single Source of Truth (SSOT) across reporting and analytics. Standardize data structures, definitions, naming conventions, and reporting logic across systems. Translate complex multi-source data into clean, structured, business-ready datasets. Power BI & Dashboard Development Take end-to-end ownership of Power BI dashboard development, from data preparation and modeling through visualization and deployment. Build datasets, relationships, measures, calculations, and business logic supporting executive and operational reporting. Develop automated, scalable, and high-performing dashboards. Enable drill-down and segmentation across dimensions such as channel, customer type, and funnel stage. Ensure dashboards provide accurate and actionable insights for business stakeholders. Data Quality & Governance Define and implement data validation rules, controls, and monitoring mechanisms. Ensure data accuracy, consistency, completeness, and reliability across integrated systems. Identify root causes of data-quality issues and coordinate remediation with relevant IT teams. Establish appropriate data governance standards and practices. Performance Optimization & Maintenance Optimize data pipelines, refresh cycles, datasets, and dashboard performance. Minimize reporting latency and manual data preparation. Manage ongoing enhancements and ensure the data ecosystem can scale with evolving business requirements. Maintain comprehensive documentation covering architecture, integrations, data models, and data flows. Key Deliverables The successful candidate will be expected to deliver a data architecture blueprint, integrated cross-system data pipelines, clean and structured reporting datasets, end-to-end executive and operational Power BI dashboards, and a robust data governance and quality framework. Performance will be measured through system integration coverage, data accuracy and consistency, refresh latency, dashboard performance and availability, and reduction in manual data preparation.<br>Requirements7–10 years of experience across Data Engineering, Business Intelligence, Data Integration, and/or Data Architecture. Proven experience designing and integrating data from multiple enterprise systems, including CRM, analytics, CX, and backend platforms. Strong hands-on expertise with Power BI, including end-to-end dashboard development. Advanced SQL skills. Strong experience in data modeling and designing scalable reporting datasets. Hands-on experience with ETL/ELT processes and tools, preferably Azure Data Factory (ADF) or equivalent. Strong experience implementing and consuming API integrations. Solid understanding of data warehousing concepts and architecture. Experience defining batch and real-time data integration patterns. Experience implementing data-quality, validation, and governance controls. Ability to troubleshoot complex cross-system data issues. Experience working within a digital business or e Commerce environment is strongly preferred. Strong stakeholder communication skills with the ability to translate business reporting requirements into technical architecture.

Data and ML Platform Engineer<br>Purpose of the Job To design, build, and maintain scalable data pipelines and architecture that enable reliable, high-quality data availability across port operations. The role will be critical in integrating operational systems such as Navis N4 Terminal Operating System, IoT platforms, and enterprise systems to support analytics, reporting, and AI-driven decision-making across Group RSGT.<br>Reporting ToData Science Senior Manager Working Conditions Within the terminal – both indoor and outdoor.<br>Required Experience3–6 years of experience in data engineering or backend data systems. Experience working with operational or industrial datasets preferred. Proven ability to build and maintain data pipelines in production environments.<br>Education Requirements Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field.<br>Skills / Attributes Strong SQL and data modelling expertise. Proficiency in Python for data engineering (ETL, pipelines). Experience working with APIs and large datasets. Understanding of cloud platforms (Azure preferred). Strong problem-solving and system design skills. <br>Key Accountabilities / Responsibilities<br>Data Engineering and Integration Design and develop data pipelines to ingest data from operational systems including Navis N4, equipment systems, and enterprise platforms. Build ETL/ELT processes for batch and near real-time data ingestion. Integrate structured and unstructured data sources across terminal operations. Ensure seamless data flow between operational systems and analytics platforms.<br>B. Data Architecture and Management Develop and maintain scalable data models to support reporting and analytics. Support implementation of data warehouse / data lake architecture. Optimize database performance and ensure efficient query execution. Maintain metadata, data lineage, and documentation standards.<br>C. Data Quality and Governance Ensure data accuracy, consistency, and completeness across datasets. Implement data validation, monitoring, and quality control mechanisms. Collaborate with IT and Data Science teams to enforce data governance standards. Support compliance with data security and regulatory requirements.<br>D. Analytics Enablement Prepare clean, structured datasets for use in dashboards and analytics tools such as Microsoft Power BI.<br>Enable data availability for key use cases such as: Crane utilization tracking. Vessel turnaround analysis. Yard optimization. Support Data Science team in model development and deployment.<br>E. Performance and Continuous Improvement Identify opportunities to automate manual data processes. Improve pipeline efficiency and reduce data latency. Support scalability of data infrastructure as business needs evolve.<br>Competencies: Analytical Thinking Problem Solving Collaboration & Influence Results Orientation Innovation Data-Driven Decision Making Integrity Dynamic