Database Developer Jobs

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li><p>Previous experience in data entry, administration, or similar roles is an advantage.</p></li><li><p>We are seeking a detail-oriented and reliable Data Entry Clerk to join our operations team. This role is ideal for individuals who are accurate, organized, and comfortable working with structured digital tasks in a remote environment.</p><p>You will be responsible for maintaining high-quality data records, ensuring accuracy, and supporting smooth day-to-day operations through efficient data handling.</p><p>Responsibilities</p><ul><li><p>Enter, update, and maintain data across company systems and databases accurately.</p></li><li><p>Review information for errors, inconsistencies, or missing details and correct them when required.</p></li><li><p>Organize and prepare data for reporting and operational use.</p></li><li><p>Ensure confidentiality and proper handling of sensitive information.</p></li><li><p>Complete assigned daily and weekly tasks within deadlines while maintaining accuracy.</p></li><li><p>Support basic document formatting and data organization using Microsoft Word and similar tools.</p></li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>The position details will be shared via Telegram. Interested parties are requested to contact us on Telegram using the username provided below:Mathew_Gerrad</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b> Key Responsibilities Front-End Development </b></p> <ul> <li>Build and maintain responsive, user-friendly websites and interfaces for healthcare and medical clients.</li> <li>Convert UI/UX designs into clean, scalable, and reusable front-end code.</li> <li>Support the development of landing pages, websites, and digital marketing assets.</li> </ul> <p> Collaboration &amp; Teamwork </p> <ul> <li>Work closely with designers, marketers, and project managers to deliver seamless user experiences.</li> <li>Assist with implementing front-end improvements related to SEO, CRO, and website performance.</li> </ul> <p> Website Optimization </p> <ul> <li>Optimize websites for speed, responsiveness, and cross-browser compatibility.</li> <li>Ensure websites function smoothly across desktop, tablet, and mobile devices.</li> <li>Follow accessibility and usability best practices.</li> </ul> <p> CMS &amp; Website Maintenance </p> <ul> <li>Maintain and update websites built on CMS platforms such as WordPress.</li> <li>Implement content updates, layouts, and page templates based on client and internal requirements.</li> </ul> <p> Quality Assurance &amp; Debugging </p> <ul> <li>Identify and resolve front-end bugs and UI inconsistencies.</li> <li>Test websites and features across multiple browsers and devices to ensure reliability.</li> </ul> <p> Learning &amp; Growth </p> <ul> <li>Stay current with modern front-end technologies, frameworks, and industry best practices.</li> <li>Participate in code reviews and actively learn from senior developers and team feedback.</li> </ul> <br> Required Qualifications Experience <ul> <li>0 2 years of front-end development experience (internships, freelance work, and personal projects are welcome).</li> <li>Experience building real-world websites or web applications is a plus.</li> </ul> Education <ul> <li>Bachelor s degree in Computer Science, Software Engineering, Web Development, or a related field or equivalent practical experience.</li> </ul> Technical Skills <ul> <li>Strong understanding of HTML5, CSS3, and JavaScript.</li> <li>Familiarity with responsive and mobile-first development principles.</li> <li>Basic knowledge of front-end frameworks or libraries such as React or Vue is a plus.</li> <li>Experience with WordPress or similar CMS platforms is preferred.</li> <li>Understanding of SEO-friendly front-end practices.</li> </ul> Tools &amp; Technologies <ul> <li>Familiarity with version control systems such as Git.</li> <li>Experience working with design collaboration tools like Figma or Adobe XD.</li> <li>Basic understanding of performance optimization and browser compatibility.</li> </ul> Soft Skills <ul> <li>Strong attention to detail and problem-solving abilities.</li> <li>Good communication skills and ability to collaborate in a remote team environment.</li> <li>Positive attitude toward learning, feedback, and professional growth.</li> <li>Strong time management and organizational skills.</li> </ul> <br> Preferred Qualifications <ul> <li>Experience with Tailwind CSS, Bootstrap, or similar CSS frameworks.</li> <li>Basic understanding of accessibility standards (WCAG).</li> <li>Exposure to healthcare, medical, or regulated industries is a plus.</li> <li>Familiarity with JavaScript tooling and front-end workflows.</li> <li>Fluent English communication skills; Arabic is a strong advantage.</li> </ul> <br></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b> Required Qualifications Experience </b></p> <ul> <li>0 2 years of front-end development experience (internships, freelance work, and personal projects are welcome).</li> <li>Experience building real-world websites or web applications is a plus.</li> </ul> <p> Education </p> <ul> <li>Bachelor s degree in Computer Science, Software Engineering, Web Development, or a related field or equivalent practical experience.</li> </ul> <p> Technical Skills </p> <ul> <li>Strong understanding of HTML5, CSS3, and JavaScript.</li> <li>Familiarity with responsive and mobile-first development principles.</li> <li>Basic knowledge of front-end frameworks or libraries such as React or Vue is a plus.</li> <li>Experience with WordPress or similar CMS platforms is preferred.</li> <li>Understanding of SEO-friendly front-end practices.</li> </ul> <p> Tools &amp; Technologies </p> <ul> <li>Familiarity with version control systems such as Git.</li> <li>Experience working with design collaboration tools like Figma or Adobe XD.</li> <li>Basic understanding of performance optimization and browser compatibility.</li> </ul> <p> Soft Skills </p> <ul> <li>Strong attention to detail and problem-solving abilities.</li> <li>Good communication skills and ability to collaborate in a remote team environment.</li> <li>Positive attitude toward learning, feedback, and professional growth.</li> <li>Strong time management and organizational skills.</li> </ul> <br> <p> Preferred Qualifications </p> <ul> <li>Experience with Tailwind CSS, Bootstrap, or similar CSS frameworks.</li> <li>Basic understanding of accessibility standards (WCAG).</li> <li>Exposure to healthcare, medical, or regulated industries is a plus.</li> <li>Familiarity with JavaScript tooling and front-end workflows.</li> <li>Fluent English communication skills; Arabic is a strong advantage.</li> </ul> <br><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Purpose</b> The Data Management Specialist is responsible for implementing, configuring, and supporting enterprise Data Management solutions, including Data Governance, Data Catalog, Metadata Management, Data Quality, and Data Classification. The role ensures successful onboarding of data assets into governance platforms, maintains metadata integrity, enables data quality monitoring, and supports compliance with organizational policies and regulatory frameworks such as SDAIA, NDMO, and PDPL. The specialist will work closely with business stakeholders, Data Stewards, Data Custodians, and technical teams to ensure effective implementation, operation, and continuous improvement of enterprise data management capabilities throughout the project lifecycle.</p><p>Key Responsibilities</p><ul><li><strong>Data Catalog &amp; Metadata Management</strong> Implement, configure, and maintain enterprise Data Catalog solutions. Ensure all enterprise data assets are inventoried, classified, documented, and governed within the Data Catalog. Develop and maintain metadata models, taxonomies, business glossaries, and metadata standards. Configure metadata harvesting, lineage, and synchronization across enterprise data sources. Support business and technical teams in maintaining accurate metadata and improving data discoverability. Configure and manage workflows supporting metadata management and data classification. Ensure classification labels and metadata standards are consistently applied across data assets.</li><li><strong>Data Governance</strong> Configure and administer Data Governance tools, workflows, dashboards, and policy enforcement mechanisms. Support implementation of enterprise Data Governance policies, standards, and procedures. Collaborate with Data Owners, Data Stewards, and Custodians to operationalize governance processes. Monitor governance compliance and generate governance metrics and reports. Maintain governance documentation in accordance with organizational standards. Support implementation of data ownership, stewardship, and accountability models.</li><li><strong>Data Quality Management</strong> Conduct enterprise-wide data profiling and quality assessments using approved Data Quality platforms. Configure and administer Data Quality tools for profiling, validation, monitoring, and issue management. Design, implement, and maintain business and technical Data Quality rules. Develop automated Data Quality controls, monitoring jobs, alerts, and exception management processes. Monitor Data Quality KPIs and produce dashboards, scorecards, and management reports. Collaborate with business teams to implement remediation and cleansing initiatives. Support continuous improvement of enterprise Data Quality processes. Integrate Data Quality capabilities with Metadata Management and Data Governance platforms.</li><li><strong>Compliance &amp; Regulatory Support</strong> Ensure compliance with SDAIA, NDMO, PDPL, and organizational data management standards. Support implementation of enterprise data classification requirements. Ensure governance controls align with applicable regulatory requirements. Assist in internal and external audits related to Data Governance and Data Quality.</li><li><strong>Stakeholder Engagement &amp; Knowledge Transfer</strong> Work collaboratively with business and technical stakeholders throughout the project lifecycle. Deliver user enablement sessions and technical training on Data Governance and Data Quality tools. Support adoption of enterprise data management practices across business units. Prepare technical documentation, operating procedures, implementation guides, and knowledge transfer materials.</li></ul><p>Qualifications &amp; Experience</p><ul><li><strong>Education</strong> Bachelor's degree in Computer Science, Information Management, Information Systems, Data Science, or a related discipline.</li><li><strong>Experience</strong> Minimum 5 years of hands-on implementation experience in one or more of the following: Data Governance, Data Quality, Metadata Management, Data Catalog, Data Privacy, Enterprise Data Management initiatives. Experience implementing enterprise Data Governance and Data Quality solutions across large organizations. Experience supporting enterprise data governance operating models and regulatory compliance initiatives.</li><li><strong>Mandatory Skills</strong> Strong Arabic and English communication skills (written and verbal). Strong understanding of enterprise Data Management principles. Experience with Metadata Management and Data Catalog implementation. Strong understanding of Data Governance frameworks. Knowledge of Data Quality methodologies and implementation. Experience with data profiling, cleansing, monitoring, and remediation. Understanding of data lineage and metadata management. Excellent analytical and problem-solving skills. Strong documentation and stakeholder management skills. Ability to work effectively with business and technical stakeholders.</li><li><strong>Regulatory Knowledge</strong> Good understanding of: SDAIA, NDMO, PDPL, Data Classification Framework, Other applicable KSA regulatory standards.</li><li><br></li><li><strong>Preferred Certifications</strong> One or more of the following certifications is preferred: Certified Data Management Professional (CDMP), Data Governance &amp; Stewardship Professional (DGSP), Informatica Professional Certifications, Collibra Ranger Certification, DAMA Certification, Microsoft Azure Data certifications, AWS Data Analytics Certification, Equivalent industry-recognized Data Management certifications.</li><li><strong>Mandatory Requirements</strong> The proposed resource must satisfy the following minimum requirements: Strong English communication skills (written and spoken). Minimum 5 years of relevant implementation experience in Data Governance, Data Quality, Metadata Management, Data Privacy, or related enterprise data management initiatives. Relevant industry certifications and technical qualifications applicable to the role. Demonstrated experience implementing enterprise Data Governance and Data Quality solutions in large organizations. Ability to collaborate effectively with business stakeholders, technical teams, Data Owners, Data Stewards, and compliance functions.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><strong>Education</strong> Bachelor's degree in Computer Science, Information Management, Information Systems, Data Science, or a related discipline.</li><li><strong>Experience</strong> Minimum 5 years of hands-on implementation experience in one or more of the following: Data Governance, Data Quality, Metadata Management, Data Catalog, Data Privacy, Enterprise Data Management initiatives. Experience implementing enterprise Data Governance and Data Quality solutions across large organizations. Experience supporting enterprise data governance operating models and regulatory compliance initiatives.</li><li><strong>Mandatory Skills</strong> Strong Arabic and English communication skills (written and verbal). Strong understanding of enterprise Data Management principles. Experience with Metadata Management and Data Catalog implementation. Strong understanding of Data Governance frameworks. Knowledge of Data Quality methodologies and implementation. Experience with data profiling, cleansing, monitoring, and remediation. Understanding of data lineage and metadata management. Excellent analytical and problem-solving skills. Strong documentation and stakeholder management skills. Ability to work effectively with business and technical stakeholders.</li><li><strong>Regulatory Knowledge</strong> Good understanding of: SDAIA, NDMO, PDPL, Data Classification Framework, Other applicable KSA regulatory standards.</li><li><strong>Technical Skills</strong> Candidates should have experience with one of the following technology stacks:<br><strong>Option 1 (Open Source Stack)</strong> Mandatory Combination: OpenMetadata, Great Expectations. Good to Have: Soda Splink, libpostal, OpenRefine, Collate.<br><strong>Option 2 (Enterprise Stack)</strong> Mandatory Combination: Hands-on experience with one or more Informatica products, including: Informatica Intelligent Data Management Cloud (IDMC), Cloud Data Governance &amp; Catalog (CDGC), Cloud Data Quality (CDQ), Enterprise Data Catalog (EDC), Informatica Data Quality (IDQ), Informatica Axon, PowerCenter. Experience with equivalent enterprise Data Governance and Data Quality platforms is also considered valuable.</li><li><strong>Preferred Certifications</strong> One or more of the following certifications is preferred: Certified Data Management Professional (CDMP), Data Governance &amp; Stewardship Professional (DGSP), Informatica Professional Certifications, Collibra Ranger Certification, DAMA Certification, Microsoft Azure Data certifications, AWS Data Analytics Certification, Equivalent industry-recognized Data Management certifications.</li><li><strong>Mandatory Requirements</strong> The proposed resource must satisfy the following minimum requirements: Strong English communication skills (written and spoken). Minimum 5 years of relevant implementation experience in Data Governance, Data Quality, Metadata Management, Data Privacy, or related enterprise data management initiatives. Relevant industry certifications and technical qualifications applicable to the role. Demonstrated experience implementing enterprise Data Governance and Data Quality solutions in large organizations. Ability to collaborate effectively with business stakeholders, technical teams, Data Owners, Data Stewards, and compliance functions.</li></ul><p></p></section>

Job Purpose:The job holder is responsible for designing, developing, customizing, and maintaining Share Point-based solutions that support marine operations, offshore construction projects, vessel management, and corporate departments (HR, Administration, Finance..etc). The role focuses on improving collaboration, document control, workflow automation, and compliance across onshore and offshore teams.<br>Key Responsibilities:<br>Design, develop, configure, and maintain intranet through Share Point Online. Customize Share Point sites, lists, libraries, web parts, and permissions to meet Company’s requirements. Develop and maintain Power Apps, Power Automate flows, and Share Point Framework (SPFx) components where applicable. Update the intranet information in as needed basis. Administer Company’s main website support and recommend solutions Design and implement read‑only document controls in Share Point to protect critical operational, engineering, contractual, HR/Cybersecurity Policies & Procedures, Company’s Manual and compliance documents used by the Company. Configure permission levels, role‑based access control, and inheritance management to ensure authorized users can view documents without the ability to edit, delete, download, or reshare where required. Apply document protection mechanisms, including Share Point permission settings (Read, View Only, Restricted View), version control and check‑out/check‑in policies, Information Rights Management (IRM) / sensitivity labels via Microsoft Purview, retention and records management policies for compliance-related documents Regularly audit document libraries and permissions to ensure compliance with ZOSCO’S IT policies, Saudi Arabia’s regulations (PDPL), and client requirements. Translate Company’s business processes (e.g., HR Policy documentation, HSE reporting, maintenance tracking, Facility Administration, Recruitment, Transportation. Etc.) into automated Share Point workflows. Optimize document management, approvals, and records retention aligned with cybersecurity regulations and company standards. Integrate Share Point solutions with Microsoft 365 tools (Teams, Outlook, One Drive, Power BI). Support integration with departmental-specific systems such as Oracle, financial management, maintenance, helpdesk platforms, social media, and Website where required. Provide technical support, troubleshooting, and enhancements for Share Point users across shore-based offices. Develop user guides, SOPs, and deliver training sessions to improve adoption and effective usage. Ensure solutions comply with IT/Cybersecurity security, data governance, and regulatory requirements (e.g., ISM, ISPS, ISO). Maintain role-based access, data integrity, version control, history and backup policies. Stay current with Microsoft 365 and Share Point updates and recommend improvements. Identify opportunities to digitize and streamline Company operational processes.<br>Qualifications:Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.6–8 years of relevant professional experience in IT, software development, systems engineering, or a related technical field. Proven experience working in the Oil & Gas industry, with a strong understanding of industry processes, standards, and technologies.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Customer Focus: Building strong customer relationships and delivering ‘customer-centric’ solutions. The primary strategy enabler for BSF is customer experience – BSF’s mandate is strongly focused around delivering personalized customer experiences, therefore a customer focus mindset is essential at all levels.</p></li><li><p> Effectively Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. Diving a unified focus towards achieving shared objectives in BSF and working cross functionally to strengthen cross selling and achieve common results is critical.</p></li></ol><br><ol start="3"><li><p>Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder. Given the transformation BSF is going through, talent across levels need to be able to exhibit an agile mindset in an environment where experimenting to find new solutions is valued and supported.</p></li><li><p>Cultivates Innovation: Creating new and better ways for the organization to be successful. Regardless of the industry being highly regulated, BSF employees are excepted to catch up with the pace of changes &amp; digital disruptions and exhibit a mindset of creating new and better ways for BSF to be successful.</p></li><li><p>Ensures Accountability: Holding self and others accountable to meet commitments. To strengthen the performance based culture in BSF and drive more effective results, holding self and others accountable is essential.</p></li><li><p>Decision Quality: Making good and timely decisions that keep the organization moving forward. With decision making getting decentralized in the bank, the ability to make quick and data-based decisions at all levels in a fast-paced and changing environment is essential to keep growing and reach organizational objectives.</p></li><li><p>Instils Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity. Instilling trust and showing consistency between words and actions have been highlighted by the senior leadership as quality behaviors that have been creating a healthier environment in the bank and must be strengthened further.</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>Drives Vision &amp; Purpose: Painting a compelling picture of the vision and strategy that motivates others to action. It is important for the leaders to be able to drive BSF’s vision today and build energy and optimism in others to create a sense of what is possible for the organization’s future and engage the younger talent.</p></li><li><p>Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies. With the changes in the industry and market trends, it is important for functional leaders to be able to identify future strategies and cascade them to build relevant action plans.</p></li><li><p>Develops Talent: Developing people to meet both their career goals and the organization’s goals. Given that BSF is going through a digital transformation and is operating on new areas where resources are scarce, BSF leaders need to develop and enable their talent to deliver on the organization’s mandate/objectives.</p></li></ol><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Customer Focus: Building strong customer relationships and delivering ‘customer-centric’ solutions. The primary strategy enabler for BSF is customer experience – BSF’s mandate is strongly focused around delivering personalized customer experiences, therefore a customer focus mindset is essential at all levels.</p></li><li><p>Effectively Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. Diving a unified focus towards achieving shared objectives in BSF and working cross functionally to strengthen cross selling and achieve common results is critical.</p></li><li><p>Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder. Given the transformation BSF is going through, talent across levels need to be able to exhibit an agile mindset in an environment where experimenting to find new solutions is valued and supported.</p></li><li><p>Cultivates Innovation: Creating new and better ways for the organization to be successful. Regardless of the industry being highly regulated, BSF employees are excepted to catch up with the pace of changes &amp; digital disruptions and exhibit a mindset of creating new and better ways for BSF to be successful.</p></li><li><p>Ensures Accountability: Holding self and others accountable to meet commitments. To strengthen the performance based culture in BSF and drive more effective results, holding self and others accountable is essential.</p></li><li><p>Decision Quality: Making good and timely decisions that keep the organization moving forward. With decision making getting decentralized in the bank, the ability to make quick and data-based decisions at all levels in a fast-paced and changing environment is essential to keep growing and reach organizational objectives.</p></li><li><p>Instils Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity. Instilling trust and showing consistency between words and actions have been highlighted by the senior leadership as quality behaviors that have been creating a healthier environment in the bank and must be strengthened further.</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>Drives Vision &amp; Purpose: Painting a compelling picture of the vision and strategy that motivates others to action. It is important for the leaders to be able to drive BSF’s vision today and build energy and optimism in others to create a sense of what is possible for the organization’s future and engage the younger talent.</p></li><li><p>Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies. With the changes in the industry and market trends, it is important for functional leaders to be able to identify future strategies and cascade them to build relevant action plans.</p></li><li><p>Develops Talent: Developing people to meet both their career goals and the organization’s goals. Given that BSF is going through a digital transformation and is operating on new areas where resources are scarce, BSF leaders need to develop and enable their talent to deliver on the organization’s mandate/objectives.</p></li></ol><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ol><li><p>Customer Focus: Building strong customer relationships and delivering ‘customer-centric’ solutions. The primary strategy enabler for BSF is customer experience – BSF’s mandate is strongly focused around delivering personalized customer experiences, therefore a customer focus mindset is essential at all levels.</p></li><li><p>Effectively Collaborates: Building partnerships and working collaboratively with others to meet shared objectives. Diving a unified focus towards achieving shared objectives in BSF and working cross functionally to strengthen cross selling and achieve common results is critical.</p></li><li><p>Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder. Given the transformation BSF is going through, talent across levels need to be able to exhibit an agile mindset in an environment where experimenting to find new solutions is valued and supported.</p></li><li><p>Cultivates Innovation: Creating new and better ways for the organization to be successful. Regardless of the industry being highly regulated, BSF employees are excepted to catch up with the pace of changes &amp; digital disruptions and exhibit a mindset of creating new and better ways for BSF to be successful.</p></li><li><p>Ensures Accountability: Holding self and others accountable to meet commitments. To strengthen the performance based culture in BSF and drive more effective results, holding self and others accountable is essential.</p></li><li><p>Decision Quality: Making good and timely decisions that keep the organization moving forward. With decision making getting decentralized in the bank, the ability to make quick and data-based decisions at all levels in a fast-paced and changing environment is essential to keep growing and reach organizational objectives.</p></li><li><p>Instils Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity. Instilling trust and showing consistency between words and actions have been highlighted by the senior leadership as quality behaviors that have been creating a healthier environment in the bank and must be strengthened further.</p></li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ol><li><p>Drives Vision &amp; Purpose: Painting a compelling picture of the vision and strategy that motivates others to action. It is important for the leaders to be able to drive BSF’s vision today and build energy and optimism in others to create a sense of what is possible for the organization’s future and engage the younger talent.</p></li><li><p>Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies. With the changes in the industry and market trends, it is important for functional leaders to be able to identify future strategies and cascade them to build relevant action plans.</p></li><li><p>Develops Talent: Developing people to meet both their career goals and the organization’s goals. Given that BSF is going through a digital transformation and is operating on new areas where resources are scarce, BSF leaders need to develop and enable their talent to deliver on the organization’s mandate/objectives.</p></li></ol><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>How will you CONTRIBUTE and GROW?</span>The Large Industries Business Development (LIBD) works at the intersection of strategy, commercial, finance and project management activities. She/He drives the growth of the Large Industries business line by orchestrating the solution sales process of multi million investment projects. The LIBD fuses strategy development, customer relations, financial model, commercial offers and contract management.<br>The successful candidate demonstrates an equilibrium of following skills: strategic thinking, clients and relationship management, oral and written communication, abstract and critical thinking, financial modeling, project management and problem solving. A knowledge of refining, chemical or petrochemical process or the energy transition considerations is a plus.<p><b>1. Business development&nbsp;</b></p><br><ul><li><p><span>Establish, maintain and grow trustful relationship with large corporations in oil refining, chemical, petrochemical or steel industries;</span></p><br></li><li><p><span>Identifies, understand and analyze the customers needs, process, projects and pain points;&nbsp;</span></p><br></li><li><p><span>Explore the customer organizations, decision making criteria and leaders;</span></p><br></li><li><p><span>Assess competitive moves, capabilities and contexts surrounding the sales leads;</span></p><br></li><li><p><span>Ensure a good internal networking for awareness and alignment between departments and entities;</span></p><br></li><li><p><span>Based on above:</span></p><br><p><span>identifies / initiates&nbsp; business growth opportunities aligned with company strategy&nbsp;&nbsp;</span></p><br><p><span>elaborates the winning strategy and underlying solution, supported by qualitative and quantitative arguments;</span></p><br><p><span>writes commercial presentations, offers and bids;</span></p><br><p><span>writes, in collaboration with legal teams, and negotiates with customers, the project framework agreements: gas supply agreements, utilities agreements, memorandums, etc.</span></p><br></li></ul><p><b>2. Project Development&nbsp;</b></p><br><ul><li><p><span>Identifies and mobilizes the required resources to form ad-hoc cross-functional project teams including engineering, legal, finance and other departments;</span></p><br></li><li><p><span>Defines the cost, scope and schedule of the assigned business growth opportunities to deliver winning solutions to customers and profitable growth to Large Industries;</span></p><br></li><li><p><span>Ensures a timely and rigorous investment and decision making process internally and externally;</span></p><br></li><li><p><span>Writes key internal project deliverables including investment committee notes;</span></p><br></li></ul><p><b>3. Finance&nbsp;</b></p><br><ul><li><p><span>Knows the basic principles and relationship between profit and loss, cash flow and balance sheet&nbsp;</span></p><br></li><li><p><span>Understands the investment notions of time value of money, net present value, internal rate of return, hurdle rates and opportunity costs&nbsp;</span></p><br></li><li><p><span>Calculates and accurately controls the project financial model for pricing and investment decision needs;</span></p><br></li></ul>___________________<span>Are you a MATCH?</span><p><b><b>Qualifications &amp; Experience: </b><i>(list education, certifications, training, work experience, etc.)</i></b></p><br><ul><li><p><span>Bachelor's degree in relevant engineering or finance; MBA degree&nbsp; is a plus.</span></p><br></li><li><p><span>A minimum of 5 to 10 years of business development experience involving investment decisions.</span></p><br></li><li><p><span>A knowledge of refining, chemical or petrochemical process or the energy transition considerations is a plus.</span></p><br></li></ul><p><br><b><b>Skills and Competencies: </b><i>(list technical &amp; core skills, soft skills, behavioral competencies, etc.)</i></b></p><br><ul><li><p><span>Honest, credible, empathic personality capable to build trustful long term relationships;</span></p><br></li><li><p><span>Ease of interaction across management lines, including senior management internal &amp; external</span></p><br></li><li><p><span>Strategic thinking and commercial spirit oriented on winning while delivering the value;</span></p><br></li><li><p><span>Autonomous, entrepreneurial and self-driven personality;</span></p><br></li><li><p><span>Strong critical thinking and analytical skills;</span></p><br></li><li><p><span>Good organization and project management habits;</span></p><br></li><li><p><span>Able to deliver structured and concise oral and written messages and documents;</span></p><br></li><li><p><span>Ease and accuracy in financial modeling and other calculations;</span></p><br></li><li><p><span>Ability to travel within the Middle East.</span></p><br></li></ul><p><b><span>Our Differences make our Performance</span></b></p><br><p><br><span>At Air Liquide, we are committed to build a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world.</span><br><span>We welcome and consider applications from all qualified applicants, regardless of their background. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world.</span></p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> 5+ years </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Data Architecture &amp; Modeling Specialist with 6 12+ years of experience to design, develop, and govern enterprise data architecture solutions. The ideal candidate will have strong expertise in data modeling methodologies, modern data platforms, data governance, and data integration patterns. This role requires the ability to define scalable data architectures, develop conceptual/logical/physical data models, and enable data-driven transformation initiatives across the organization. Key Responsibilities Design and implement enterprise data architecture strategies aligned with business and technology objectives. Develop conceptual, logical, and physical data models for enterprise applications and analytical platforms. Create and maintain data models using industry-standard modeling tools. Apply data modeling methodologies including dimensional modeling and Data Vault architecture. Design scalable data warehouse and data lake architectures. Define data architecture standards, principles, and best practices. Collaborate with Data Engineers, BI teams, Data Scientists, and business stakeholders to deliver data solutions. Develop and maintain metadata, data lineage, and data governance frameworks. Support data platform modernization initiatives and cloud data transformation programs. Evaluate and recommend data technologies, tools, and architectural approaches. Ensure data quality, consistency, security, and compliance across enterprise data assets. Required Technical Skills Data Modeling &amp; Architecture Tools Hands-on experience with ERwin or ER/Studio for enterprise data modeling. Strong understanding of conceptual, logical, and physical data modeling principles. Experience creating enterprise-level data models and architecture documentation. Data Modeling Methodologies Strong experience with Data Vault or Kimball dimensional modeling methodologies. Understanding of data warehouse design patterns, star schemas, and enterprise analytics models. Cloud &amp; Enterprise Data Platforms Experience designing data architectures on BigQuery or Snowflake . Experience with large-scale enterprise data platforms and modern data warehouse architectures. Strong understanding of cloud data architecture principles. Data Warehousing Technologies Experience with Teradata and enterprise-scale data warehouse environments. Knowledge of performance optimization, partitioning, and scalable data storage strategies. Data Governance &amp; Metadata Management Hands-on experience with Collibra or Alation for data governance, cataloging, metadata management, and data stewardship. Experience defining data lineage, business glossaries, and governance frameworks. Data Integration &amp; Change Data Capture Experience with CDC (Change Data Capture) tools and real-time data integration patterns. Understanding of data replication, streaming, and integration architectures. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. 6 12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management. Strong understanding of enterprise architecture principles and data strategy. Excellent analytical, problem-solving, and communication skills. Experience working with cross-functional teams in Agile environments. Preferred Skills Experience designing cloud-native data architectures. Knowledge of modern data lakehouse architectures. Familiarity with data governance frameworks and regulatory requirements. Experience with SQL, ETL/ELT concepts, and data integration frameworks. Experience supporting enterprise digital transformation initiatives. Relevant certifications in Data Architecture, Cloud, or Data Governance are a plus. Key Technology Stack Data Modeling Tools: ERwin or ER/Studio Modeling Methodologies: Data Vault or Kimball Cloud Data Platforms: BigQuery or Snowflake Enterprise Data Warehouse: Teradata Data Governance: Collibra or Alation Data Integration: CDC Tools Architecture Practices: Enterprise Data Architecture and Data Governance and Metadata Management and Data Lineage Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. 6 12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management. Strong understanding of enterprise architecture principles and data strategy. Excellent analytical, problem-solving, and communication skills. Experience working with cross-functional teams in Agile environments. Preferred Skills Experience designing cloud-native data architectures. Knowledge of modern data lakehouse architectures. Familiarity with data governance frameworks and regulatory requirements. Experience with SQL, ETL/ELT concepts, and data integration frameworks. Experience supporting enterprise digital transformation initiatives. Relevant certifications in Data Architecture, Cloud, or Data Governance are a plus.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Data Governance &amp; Management Specialist with 6 12+ years of experience to establish, implement, and manage enterprise data governance frameworks. The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices. This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies. Key Responsibilities Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives. Establish data governance policies, standards, processes, and operating models. Define data ownership, stewardship models, and governance responsibilities across business and technology teams. Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data. Manage metadata, data cataloging, lineage, and business glossary initiatives. Support Master Data Management (MDM) strategies and implementation. Define and implement data classification and data privacy frameworks. Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance. Monitor governance KPIs, data quality metrics, and compliance requirements. Drive adoption of governance practices across enterprise data initiatives. Support regulatory compliance and data protection requirements. Required Technical &amp; Functional Skills Data Governance Frameworks Strong understanding of DAMA-DMBOK or NDMO frameworks and data governance principles. Experience designing and implementing enterprise data governance operating models. Knowledge of data stewardship, ownership, policies, standards, and governance processes. Data Governance Platforms Hands-on experience with Collibra or Alation for: Data catalog management Metadata management Business glossary creation Data lineage tracking Governance workflow management Data Quality Management Experience with Informatica Data Quality (DQ) or comparable data quality tools. Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes. Master Data Management Experience implementing Master Data Management (MDM) frameworks and processes. Understanding of master data domains, golden records, and data synchronization approaches. Data Classification &amp; Privacy Experience with Data Classification and Data Privacy frameworks. Knowledge of sensitive data identification, protection controls, and compliance requirements. Understanding of privacy regulations and enterprise data protection practices. Preferred Skills Experience supporting large-scale data transformation initiatives. Knowledge of cloud data platforms and modern data ecosystems. Familiarity with data security, risk management, and compliance frameworks. Experience establishing Data Governance Centers of Excellence (CoE). Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus. Key Technology &amp; Capability Stack Data Governance Frameworks: DAMA-DMBOK or NDMO Data Governance Platforms: Collibra or Alation Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage Data Protection: Data Classification and Data Privacy and Compliance Management Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field. 6 12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management. Strong understanding of enterprise data architecture and governance practices. Excellent communication, stakeholder management, and collaboration skills. Experience working with cross-functional teams in enterprise environments.</p><p></p></section>

<p>The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.</p><p><b>Key Responsibilities</b></p><ul><li>Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation. Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment. Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability. Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems. Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles. Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns. Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>Role Overview</b></p><p>Own webook s data function end-to-end strategy, team, platform and delivery and be the single person accountable for data at webook. Turn our first-party data into trusted decisions today and a monetisable asset within two to three years, in a regulated environment (PDPL / GDPR / NCA ECC) where data we cannot trust or lawfully use is worthless. Build and lead the team, make the platform reliable, and set webook up to sell data and insight, not just tickets.</p><p>What You ll Own</p><ol><li>Data Strategy &amp; Roadmap Produce webook s first documented data strategy and a phased, costed roadmap within 60 days of start, endorsed by the VP Architecture, Platform &amp; AI and the CTO. Define the target operating model for the data function engineering, analytics, governance and the sequence in which it is built. Own the data platform direction. Lead the managed-vs-self-hosted decision and present a costed recommendation within 90 days , with a clear cost-control model. Align every data initiative to a measurable business outcome; re-prioritise the roadmap quarterly as the economics move.</li><li>Team Leadership &amp; Building the Function Assess, develop and where needed strengthen the existing team; set a clear performance bar and build the capability to meet it. Set quarterly OKRs for each direct report; hold fortnightly 1:1s with written notes; run a monthly team standup with a rolling 90-day delivery view shared with VP Architecture and the CTO. Be a genuine people leader: develop talent and career paths, mentor, and build an engaged, high-performing team. Retention and engagement are explicit success measures, not afterthoughts.</li><li>Data Platform &amp; Engineering Be accountable for reliable, tested, observable pipelines client-facing dashboards accurate and current, with stale or broken data caught before a client ever sees it. Own the platform direction across the modern data stack warehouse / lakehouse, transformation (dbt), orchestration, BI and serving making pragmatic build/buy and managed/self-host calls across open-source ( ClickHouse, Superset ) and major managed platforms ( BigQuery, Snowflake, Databricks ). Institute FinOps discipline: a clear monthly platform budget with alerting; own the platform budget and keep cost predictable and under control. Establish infrastructure-as-code, data observability, and clear SLAs for data delivery.</li><li>Analytics, Insight &amp; Data Products Establish a single source of truth and a governed metrics / semantic layer; eliminate conflicting metric definitions across the business. Raise the bar on analytical quality for internal decisions and for client-facing insight. Build the muscle to ship data products: embedded client analytics, benchmarking, and insight services. Partner with product and commercial to define webook s first paid data / insight product within 12 months, with a credible commercial case.</li><li>Data Governance, Quality &amp; Privacy Ensure data handling meets PDPL, GDPR and NCA requirements classification, access control, residency, and cross-border transfer. Stand up a data catalog and data-quality standards with named ownership across data domains. Define the lawful-basis and controls framework required before any data product ships webook s licence to monetise. Coordinate closely with the Director of InfoSec &amp; Cybersecurity and the GDPR Delivery Lead on data privacy and security.</li><li>Data Monetisation &amp; Commercial Partnership Own the path from internal analytics embedded client insight productised data, sequenced so trust is earned at each step. Work with commercial leadership to size, package and price data and insight products. Build the reliability and governance foundations that make external monetisation possible and defensible.</li><li>Stakeholder Management &amp; Data Culture Be the trusted data partner to the executive team; translate technical work and data risk into commercial language. Drive data literacy and a data as a business enabler culture; remove silos and shift data out of being treated as an IT by-product. Represent data credibly with clients where insight is part of webook s offering.</li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Essential</h2><ul><li>10+ years in data, with at least 3 5 years in a senior data leadership role (Head of Data / Director ) at a technology, SaaS or consumer-platform company.</li><li>Proven track record building and leading high-performing data teams across engineering, analytics and governance a genuine people and team leader, not only a technologist.</li><li>Deep, hands-on understanding of modern data platforms and the modern data stack: warehouses / lakehouses, transformation (dbt), orchestration, BI, and serving layers.</li><li>Experience with open-source platforms (ClickHouse, Superset) AND major managed platforms (BigQuery, Snowflake, Databricks) able to make pragmatic build/buy and managed/self-host decisions with cost firmly in mind.</li><li>Strong command of data engineering and analytics practice: pipelines, dimensional modelling, semantic / metrics layers, data quality and observability.</li><li>Demonstrated ability to turn data into business value ideally including data products or monetisation.</li><li>Working knowledge of data governance and privacy in a regulated environment (PDPL / GDPR a strong plus).</li><li>Commercial fluency: able to translate technical work into business and board-level language.</li><li>A track record of delivering against deadlines with evidence, not just intent.</li></ul><h2>Preferred</h2><ul><li>Experience monetising data or building data products sold externally.</li><li>Familiarity with the KSA and EU regulatory context (PDPL, GDPR, NCA ECC)</li><li>Experience making data AI-ready and enabling ML / analytics at scale.</li><li>FinOps / cloud cost-management experience.</li><li>Relevant qualifications in data, computer science or a related field; cloud or platform certifications (GCP / AWS / Azure, Snowflake, Databricks) a plus.</li><li>Experience in events, ticketing, e-commerce or marketplace businesses.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b><span>Job Summery</span></b></p> <p><span>The Data Governance Assistant Manager supports CATRION’s enterprise-wide data governance strategy by helping to develop, implement, and maintain frameworks, standards, and controls that ensure information is accurate, secure, well-classified, and compliant with regulations. Working with leadership, business units, and technical teams, this role bridges policy and operations to safeguard sensitive data, maintain integrity, and enable ethical, data‑driven decision-making.</span></p> <p><b><span>Job Description </span></b></p> <p><span>• Support in developing, implementing, and maintaining the organization’s data governance framework, policies, and standards.<br><br>• Assist in defining roles and responsibilities for data ownership and stewardship across business units.<br><br>• Contribute to the classification, cataloguing, and metadata management of enterprise data assets.<br><br>• Support monitoring of data quality, consistency, and integrity; coordinate remediation of identified issues with data owners.<br><br>• Assist in establishing controls for data lifecycle management (creation, usage, retention, archival, and disposal).<br><br>• Contribute to implementing and maintaining data lineage and traceability processes.<br><br>• Support in defining and monitoring KPIs and metrics for data governance effectiveness.<br><br>• Assist in evaluating and integrating tools and technologies for data governance, metadata, and data quality management.<br><br>• Collaborate with IT and Security teams to ensure access management, data protection, and compliance with internal and regulatory requirements.<br><br>• Support in preparing reports, dashboards, and documentation on governance activities, highlighting risks and improvement opportunities.<br><br>• Contribute to awareness sessions and training programs to embed data governance practices across the organization.<br><br>• Support in maintaining an inventory of AI use cases and the data sources they rely on, ensuring proper documentation and traceability.<br><br>• Ensure data used in AI models meets governance standards for quality, accuracy, completeness, and consistency.<br><br>• Contribute to monitoring and documenting data lineage for AI systems, including transformations and ownership of datasets.<br><br>• Assist in assessing and mitigating risks of bias, fairness, and regulatory non-compliance related to datasets feeding AI models.<br><br>• Collaborate with Data Privacy and IT Security teams to ensure AI data processing complies with PDPL, NDMO standards, and NCA DCC requirements.<br><br>• Provide input to policies and guidelines that govern responsible data use in AI systems and analytics.<br><br>• Support the Data Management Office in establishing and maintaining enterprise-wide data governance practices.<br><br>• Contribute to fostering a culture of accountability, ownership, and integrity in the use of organizational data.<br><br>• Act as a trusted partner to business units, IT, and compliance teams to ensure data is accurate, consistent, and accessible.<br><br>• Promote awareness of the importance of data quality and governance in enabling secure, compliant, and value-driven decision-making.<br><br>• Demonstrate continuous learning by staying informed of emerging data governance standards, technologies, and industry best practices.<br><br>• Uphold ethical standards in data handling, ensuring that data is managed in a way that supports both business efficiency and regulatory compliance.</span></p> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> 3+ years </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Healthcare / Medical Data Analyst responsible for analyzing healthcare and medical datasets to generate actionable insights, develop dashboards, support performance monitoring, and improve clinical and operational decision-making.</p><p>The role requires close collaboration with clinical, policy, and analytics teams.</p></div></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for analyzing healthcare and medical datasets to generate actionable insights, develop dashboards, support performance monitoring, and improve clinical and operational decision-making. The role requires close collaboration with clinical, policy, and analytics teams.</p></div></section>

<p><b>Job Title Manager </b>- Data Management (Data Governance, Privacy &amp; Quality) Reports To Director / Senior Manager Location Kingdom of Saudi Arabia Direct Reports NA</p><p><strong>Mission / Purpose of the Role</strong><br>The purpose of this role is to support the establishment, implementation and ongoing maintenance of Data Management capabilities within ADCB KSA, ensuring alignment with Group Data Management frameworks, policies, standards and procedures. The role acts as the primary point of contact for Data Governance, Data Privacy, Data Quality and Data Incident Management matters within the subsidiary, translating Group requirements and local regulatory obligations into practical, embedded controls. By delivering credible governance, robust privacy operations and demonstrable data quality improvement, the role protects the client s regulatory standing and reinforces the firm s reputation for integrity and regulatory excellence.</p><p><br></p><ul><li><br></li></ul><p></p><p><strong>Key Accountabilities</strong></p><p><strong>Data Management Framework Implementation</strong><br>Key Responsibilities<br></p><ul><li>Review and adapt Group Data Management policies, standards and procedures for subsidiary adoption.</li><li>Establish subsidiary-specific Data Management governance documentation where required.</li><li>Support implementation of Data Governance, Data Privacy, Data Quality and Data Incident Management frameworks.</li><li>Develop and maintain local operating procedures, guidance documents and governance artefacts.</li><li>Support periodic review and update of local policies to ensure continued alignment with Group and regulatory requirements.</li></ul>Success Indicators<br><ul><li>Local framework documentation approved and adopted.</li><li>Implementation roadmap delivered to plan.</li><li>No material misalignment with Group standards.</li></ul><p></p><p><strong>Data Governance &amp; Oversight</strong><br>Key Responsibilities<br></p><ul><li>Represent Data Management in subsidiary governance committees, Data Steering Groups and working groups.</li><li>Prepare governance materials, reports and management updates for local and Group forums.</li><li>Escalate material data risks, control deficiencies and regulatory concerns to the appropriate management and governance bodies.</li><li>Track remediation actions and ensure timely closure.</li><li>Support implementation of data ownership, stewardship and accountability models.</li></ul>Success Indicators<br><ul><li>Governance packs issued on schedule.</li><li>Risks escalated without delay.</li><li>Actions closed within agreed deadlines.</li></ul><p></p><p><strong>Regulatory Compliance &amp; Risk Management</strong><br>Key Responsibilities<br></p><ul><li>Assess and monitor compliance with applicable UAE, KSA and other relevant regulatory requirements.</li><li>Support regulatory gap assessments and implementation of remediation plans.</li><li>Maintain regulatory compliance trackers and reporting mechanisms.</li><li>Conduct Data Risk Assessments, Privacy Impact Assessments and related evaluations.</li><li>Support regulatory examinations, audits and information requests.</li></ul>Success Indicators<br><ul><li>Gap assessments completed and remediated.</li><li>Trackers accurate and current.</li><li>Regulatory requests answered fully and on time.</li></ul><p></p><p><strong>Data Privacy Operations</strong><br>Key Responsibilities<br></p><ul><li>Maintain Records of Processing Activities (ROPA) and processing inventories.</li><li>Support Data Subject Rights management processes and requests.</li><li>Manage data transfer assessments and privacy-related reviews.</li><li>Review and maintain privacy notices, consent notices and related public disclosures.</li><li>Support investigations into privacy complaints and statutory inquiries.</li><li>Provide advisory support to business stakeholders on privacy requirements and obligations.</li></ul>Success Indicators<br><ul><li>ROPA complete and current.</li><li>DSR requests met within statutory timeframes.</li><li>Privacy notices accurate and approved.</li></ul><p></p><p><strong>Data Incident Management</strong><br>Key Responsibilities<br></p><ul><li>Support identification, assessment, investigation and remediation of data incidents.</li><li>Facilitate Data Breach Assessments and impact assessments.</li><li>Coordinate incident response with business, technology, compliance and risk stakeholders.</li><li>Support regulatory notification assessments and documentation requirements.</li><li>Track remediation actions and lessons learned.</li></ul>Success Indicators<br><ul><li>Incidents managed within framework timelines.</li><li>Notification decisions documented and defensible.</li><li>Lessons learned implemented.</li></ul><p></p><p><br></p><p><strong>Education &amp; Experience</strong></p><p><strong>Education</strong><br>Bachelor s degree in Law, Information Management, Computer Science, Business, Finance or a related discipline.</p><p><strong>Experience</strong><br>Minimum 8 years overall industry experience, with at least 4 years in Data Management, Data Governance, Data Privacy or Data Protection roles within financial services. Direct experience implementing data governance, privacy or data quality frameworks is essential. Working knowledge of KSA (SDAIA / PDPL, SAMA) and UAE data protection requirements is strongly preferred.</p><p><strong>Additional Requirements</strong><br>CIPP/E, CIPM, CDMP, DAMA, CISM or equivalent qualifications preferred. Strong written and verbal communication skills in English; Arabic is an advantage.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Education</strong><br>Bachelor s degree in Law, Information Management, Computer Science, Business, Finance or a related discipline.</p><p><strong>Experience</strong><br>Minimum 8 years overall industry experience, with at least 4 years in Data Management, Data Governance, Data Privacy or Data Protection roles within financial services. Direct experience implementing data governance, privacy or data quality frameworks is essential. Working knowledge of KSA (SDAIA / PDPL, SAMA) and UAE data protection requirements is strongly preferred.</p><p><strong>Additional Requirements</strong><br>CIPP/E, CIPM, CDMP, DAMA, CISM or equivalent qualifications preferred. Strong written and verbal communication skills in English; Arabic is an advantage.</p>

<h3 >About the Data Engineer Infrastructure Role</h3> <p >Jobs AI is seeking a <strong >Data Engineer Infrastructure</strong> for a client located in <strong >Saudi Arabia</strong>. This <strong >contract</strong> position involves designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. The successful candidate will collaborate with cross-functional teams to ensure data reliability, quality, and accessibility for analytical and operational needs.</p> <h3 >Client and Role Context</h3> <p >The client is recognized as a global leader within the <strong >Software Development, Technology, Information and Internet, and Data Infrastructure and Analytics</strong> industries. This role offers the opportunity to contribute to the modernization of data infrastructure and enable advanced analytics capabilities, directly impacting the client's operational efficiency and strategic insights.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.</li> <li >Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.</li> <li >Ensure data integrity, consistency, and security across all data assets and systems.</li> <li >Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.</li> <li >Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality data solutions.</li> </ul> <h3 >Experience and Qualifications</h3> <p >Candidates should possess <strong >2-5 years</strong> of experience in a relevant data engineering role. Jobs AI hires based on skills and expertise, welcoming all qualified candidates regardless of background or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.</p> <h3 >Work Arrangement and Compensation</h3> <p >This is a <strong >contract</strong> position that allows for remote work with flexible hours. The compensation for this role is competitive, ranging from <strong >$30 to $100 per hour</strong>.</p> <h3 >Application Process</h3> <p >Interested candidates are encouraged to apply, demonstrating their technical abilities and qualifications for this Data Engineer Infrastructure role.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: Data Science &amp; Analytics Engineer Job Title: Data Science &amp; Analytics Engineer Experience: 3 11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are looking for a talented Data Science &amp; Analytics Engineer with 3 11 years of experience to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making. Key Responsibilities Design, develop, and deploy predictive and analytical models to solve business problems. Perform data exploration, statistical analysis, feature engineering, and model evaluation. Build interactive dashboards, reports, and visualizations for business stakeholders. Develop scalable data analytics solutions using modern cloud and big data platforms. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Analyze structured and unstructured datasets to identify trends, patterns, and opportunities. Ensure data quality, governance, and best practices across analytics initiatives. Present analytical findings and recommendations to technical and non-technical audiences. Continuously improve analytics processes, reporting capabilities, and model performance. Required Technical Skills Programming &amp; Data Science Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics. Data Science Platforms Hands-on experience with Databricks or Dataiku for data science, machine learning, and collaborative analytics. Experience developing end-to-end analytical workflows and model deployment. Business Intelligence &amp; Visualization Strong experience with Power BI or Tableau or Looker for dashboard development and data visualization. Ability to create interactive reports and executive-level dashboards. Data Warehousing &amp; Analytics Experience with BigQuery or Snowflake for large-scale analytics and data warehousing. Strong understanding of SQL, data modeling, and analytical query optimization. Analytics &amp; Machine Learning Experience with statistical analysis, forecasting, classification, clustering, and regression models. Familiarity with machine learning libraries and model evaluation techniques. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments. Preferred Skills Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus. Key Technology Stack Programming Languages: Python or R Data Science Platforms: Databricks or Dataiku Business Intelligence: Power BI or Tableau or Looker Data Warehouse: BigQuery or Snowflake Analytics: Statistical Analysis and Predictive Modeling and Machine Learning and Data Visualization Cloud Platforms: AWS or Microsoft Azure or Google Cloud Platform (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h3>Qualifications</h3><p>Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field. 3 11 years of professional experience in Data Science, Business Analytics, or Advanced Analytics. Strong analytical, mathematical, and problem-solving skills. Excellent communication and presentation skills. Experience working in Agile/Scrum environments.</p><h3>Preferred Skills</h3><p>Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform. Knowledge of MLOps, model deployment, and AI-driven analytics. Experience with ETL/ELT processes and data engineering concepts. Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage. Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus.</p><p></p></section>

<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>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Role Overview</p><p>The Director of Data Platforms &amp; Intelligence is one of the most strategically significant leadership hires at webook. This role owns and integrates:</p><ul><li>Data Platforms</li><li>Analytics &amp; Insights</li><li>AI Enablement</li><li>Intelligence Products</li><li>Commercial Data Monetisation</li><li>Operational &amp; Executive Decision Intelligence</li></ul><p>This leader transforms webook s data into a revenue-driving, intelligence-generating engine .</p><p>What You ll Own</p><p>Data Platform Strategy &amp; Architecture</p><ul><li>Own the end-to-end data platform strategy aligned with product, engineering, and commercial goals</li><li>Architect scalable batch + streaming pipelines, real-time analytics, ML enablement, and multi-tenant access</li><li>Build on GCP (BigQuery / ClickHouse, Airflow, DBT, ML Ops)</li><li>Ensure resilience during extreme traffic spikes and major events</li></ul><p>Data Reliability &amp; Observability</p><ul><li>Implement full data observability (freshness, anomalies, schema drift, SLAs/SLOs)</li><li>Treat data incidents with production-level severity</li><li>Deliver trusted, always-on data for real-time ops and BI</li></ul><p>Business Intelligence &amp; Decision Intelligence</p><ul><li>Lead executive dashboards, KPI frameworks, forecasting, and operational metrics</li><li>Enable self-service analytics with governed semantic layers</li><li>Partner with Product, Marketing, Commercial, and Operations on proactive insights</li></ul><p>Partner &amp; Promoter Intelligence (Core 2026 Monetisation)</p><ul><li>Design and own data-as-a-product roadmap</li><li>Build promoter dashboards covering live entry &amp; capacity, forecasting, demand analysis, audience insights, market benchmarks, and queue &amp; throughput intelligence</li><li>Work with Commercial on pricing, packaging, and go-to-market</li></ul><p>AI Enablement &amp; Predictive Intelligence</p><ul><li>Build data foundations for AI and ML models</li><li>Support recommendation systems, conversational UX, forecasting, and anomaly detection</li><li>Operationalise models with monitoring and retraining</li></ul><p>Governance, Security &amp; Compliance</p><ul><li>Define policies for data access, retention, and protection</li><li>Ensure PDPL &amp; GDPR compliance in partnership with CISO &amp; DPO</li></ul><p>Leadership &amp; Organisation Building</p><ul><li>Lead Data Engineering, Analytics, BI, and Data Operations teams</li><li>Define org structure, hiring plans, and career ladders</li><li>Act as a core member of the Technology Leadership Team</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>15+ years in data engineering, analytics, BI, architecture, or data leadership</li><li>Proven experience building enterprise-grade data platforms</li><li>Experience commercialising external data or intelligence products</li><li>Deep knowledge of modern stacks (GCP, BigQuery/Snowflake/ClickHouse, streaming, BI tools)</li><li>Strong AI, ML Ops, KPI, and executive reporting expertise</li><li>Strong understanding of PDPL/GDPR</li><li>Excellent executive communication and influence</li></ul><p>Nice to Have</p><ul><li>Experience in ticketing, events, travel, marketplaces, or entertainment tech</li><li>Experience with multi-tenant data products</li><li>Experience delivering market intelligence to enterprise clients</li></ul><p></p></section>