Data Entry Jobs in Qatar

Job Summary<br><br>We are seeking an experienced Senior Data Protection & Privacy Specialist to support the organization’s data protection and privacy governance initiatives. The successful candidate will be responsible for managing day-to-day privacy operations, conducting privacy risk assessments, reviewing personal data management processes, and supporting investigations and complaint handling related to personal data protection.<br><br>The role requires a strong understanding of data protection regulations, cybersecurity principles, privacy governance, and emerging technologies to ensure the organization’s compliance with applicable legal and regulatory requirements.<br><br>Key Responsibilities<br><br>Perform day-to-day operational activities related to data protection, including receiving and handling complaints, investigations, and privacy-related inquiries. Review and assess Personal Data Management Systems to ensure compliance with applicable privacy requirements and best practices. Conduct Personal Data Privacy Risk Assessments and provide recommendations to mitigate identified risks. Evaluate requests involving the processing of sensitive or special-category personal data and submit recommendations to management for approval. Execute and support procedures related to privacy complaints, investigations, and incident handling. Assist in ensuring compliance with organizational policies and applicable data protection regulations. Prepare reports, documentation, and recommendations related to privacy assessments and investigations. Collaborate with internal stakeholders to promote privacy awareness and support continuous improvement of data protection practices.<br><br>Requirements<br><br>Qualifications<br><br>Education<br><br>Bachelor’s or Master’s degree in Computer Science, Information Technology, Information Security, Cybersecurity, or a related discipline.<br><br>Professional Certifications<br><br>Candidates holding one or more of the following certifications will be preferred:<br><br>Certified Information Privacy Manager (CIPM) Certified Information Privacy Professional (CIPP) Equivalent Data Protection or Privacy certifications<br><br>Experience<br><br>Minimum 8 years of relevant professional experience in data protection, privacy, information security, cybersecurity, compliance, or related fields.<br><br>Required Skills & Knowledge<br><br>Strong knowledge of data protection and privacy principles. Understanding of cybersecurity concepts, cyber threats, and vulnerabilities. Knowledge of data protection laws, regulations, governance frameworks, policies, and procedures. Familiarity with Artificial Intelligence (AI), blockchain, and other emerging technologies and their impact on privacy. Technical understanding of computer networking concepts, network protocols, and network security methodologies. Experience conducting privacy risk assessments and supporting privacy compliance activities. Strong analytical, problem-solving, documentation, and report-writing skills. Excellent communication and stakeholder management skills. Ability to manage multiple priorities while maintaining a high level of accuracy and professionalism.<br><br>Language Requirements<br><br>English: Required (written and spoken). Arabic: Preferred but not mandatory.<br><br>Additional<br><br>Required Skills and Knowledge:<br><br>Strong understanding of cybersecurity and privacy principles. Familiarity with cyber threats and vulnerabilities. Knowledge of laws, policies, procedures, and governance related to data protection and privacy. Awareness of emerging technologies, including artificial intelligence and blockchain. Technical expertise in computer networking concepts, protocols, and network security methodologies. Excellent communication skills.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary <br> <p>The Associate, Data Science plays a foundational role in supporting data science initiatives across the bank. The role involves working under the guidance of senior team members to build and deploy machine learning models, conduct exploratory data analysis, and generate data-driven insights to solve business problems. The associate collaborates with business units to understand requirements, supports model development, and contributes to building scalable data science assets that align with QNB’s strategic goals.</p><br> <br> <br><br> Main Responsibilities <br> <p>A. Shareholder &amp; Financial: - Support the development and tracking of KPIs to measure impact of data science initiatives. - Assist in delivering data analytics solutions that drive business efficiency and revenue growth. - Take part in the overall QNB Data &amp; Analytics strategy execution. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent. </p><br><p>B. Customer (Internal &amp; External): - Work with internal stakeholders to understand business needs and translate them into data problems. - Assist in preparing clear, concise, and insightful reports or dashboards for business users. - Support model testing and deployment activities, ensuring stakeholder alignment and timely delivery. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required. </p><br><p>C. Internal (Processes, Products, Regulatory): - Support the AVP and other senior data scientists in developing machine learning and statistical models. - Prepare and clean large datasets for analysis and modelling purposes. - Contribute to the implementation of AI/ML pipelines and production-ready solutions. - Document methodologies, outcomes, and learnings for reproducibility and scaling. - Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. </p><br><p>D. Learning &amp; Knowledge: - Stay updated on the latest trends in machine learning, AI, and analytics tools. - Participate in training programs and learning sessions to build advanced analytics capability. - Proactively seek feedback and mentorship from senior team members. - Seek out opportunities to stay current with advancements in data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects.</p><br> <br> <br><br> Education and Experience Requirements <br> <p>- Bachler Degree University in data science, Computer Science, Mathematics, Engineering, or a related field. </p><br><p>- Familiarity with machine learning techniques, data wrangling, and model evaluation practices. </p><br><p>- High Level knowledge in data science tools like Python, R and Jupiter notebooks is desirable.</p><br> <br> <br> </div>

<p>The Risk Data &amp; Modelling Expert oversees end-to-end processing of tax data assets, analyzes cross-system tax information, and develops analytical and predictive models to support compliance risk assessment and strategic decision-making. The role coordinates with IT on analytical tools, reviews international and exchanged tax data, and advises on data governance practices to ensure quality, consistency, and secure access for departments.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelors degree in Data Science, Statistics, Economics, Computer Science, or related field.</li><li>Masters degree in a related field is preferred.</li><li>Relevant professional certifications are an advantage.</li><li>16+ years of relevant experience in data analytics, statistical modelling, or risk analytics in tax administration, government, or a related financial/compliance environment.</li><li>Demonstrated knowledge of tax data structures, analytical tools, and data governance concepts.</li><li>Strong data analysis and modelling skills using analytical and BI tools.</li><li>Ability to translate complex data into clear insights and decision-support outputs.</li><li>Effective coordination and communication with technical and non-technical stakeholders.</li><li>Attention to data quality, structure, and security.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…</p><br><p><strong>What will you be doing?&amp;nbsp;</strong></p><br><ul><li>Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players.</li><li>In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.</li><li>You wield both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business</li></ul><p><strong>What are we looking for?&amp;nbsp;</strong></p><br><ul><li>You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting.</li><li>Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism.</li><li>We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis.</li><li>You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,…).</li></ul><p>Artefact is the place to be: come and build the future of data and marketing!<br><strong>Innovation</strong>: We have a passion for creating impacting projects and believe innovation can come from anyone.<br><strong>Action:&amp;nbsp;</strong>We make things rather than telling people how to make them.<br><strong>Collaboration</strong>: We believe in bringing talented people together, winning together, and in learning from each other.</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About us:</strong></p><br><p>Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.</p><br><p>Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.</p><br><p>We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.</p><br><p>&amp;nbsp;</p><br><p><strong>About the role:</strong></p><br><p>As a Data Scientist, your role will encompass:</p><br><ul><li>Conducting ambitious projects in the transformation of clients through data</li><li>Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients</li><li>Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department</li></ul><p>Among your responsibilities as a Data Scientist, you will be responsible for:</p><br><p><strong>Performing data projects</strong></p><br><ul><li>Securing delivery on your projects</li><li>Communicating your work and achievements among the team</li><li>Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs</li><li>Ensuring that your solutions are bringing values to the client problematic</li><li>Being a good team player, knowing your role and responsibility in the global ambition</li></ul><p>&amp;nbsp;</p><br><p><strong>Qualifications: Education &amp;amp; experience required</strong></p><br><ul><li>A Master’s degree in machine learning, mathematics, computer science, or related fields</li><li>Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus)</li><li>Strong knowledge of data processing, data modeling, algorithms, and data architecture</li><li>Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact</li></ul><p>&amp;nbsp;</p><br><p><strong>What we are looking for</strong></p><br><ul><li><strong>A Doer:</strong>&amp;nbsp;you get things done and inspire your teams to do the same</li><li><strong>An Analyst:&amp;nbsp;</strong>you LOVE data and think every company should take their decisions with facts</li><li><strong>A Pragmatist:</strong>&amp;nbsp;you have a hacker mindset and always find the quick wins</li><li><strong>A Mentor:</strong>&amp;nbsp;your clients and teams naturally seek for advice</li><li><strong>An Adventurer:&amp;nbsp;</strong>you’re an entrepreneur constantly looking for problems to solve</li></ul><p>&amp;nbsp;</p><br><p><strong>Why you should join us</strong></p><br><ul><li><strong>Artefact is the place to be:&amp;nbsp;</strong>come and build the future of marketing</li><li><strong>Progress:</strong>&amp;nbsp;every day offers new challenges and new opportunities to learn</li><li><strong>Culture:</strong>&amp;nbsp;join the best team you could ever imagine</li><li><strong>Entrepreneurship:&amp;nbsp;</strong>you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!</li></ul><p>&amp;nbsp;</p><br> </div>

<p>We are seeking an experienced <strong>Senior Data Protection & Privacy Specialist</strong> to support the organization's data protection and privacy governance initiatives. The successful candidate will be responsible for managing day-to-day privacy operations, conducting privacy risk assessments, reviewing personal data management processes, and supporting investigations and complaint handling related to personal data protection.</p><p>The role requires a strong understanding of data protection regulations, cybersecurity principles, privacy governance, and emerging technologies to ensure the organization's compliance with applicable legal and regulatory requirements.</p><p>Key Responsibilities</p><ul><li><p>Perform day-to-day operational activities related to data protection, including receiving and handling complaints, investigations, and privacy-related inquiries.</p></li><li><p>Review and assess Personal Data Management Systems to ensure compliance with applicable privacy requirements and best practices.</p></li><li><p>Conduct Personal Data Privacy Risk Assessments and provide recommendations to mitigate identified risks.</p></li><li><p>Evaluate requests involving the processing of sensitive or special-category personal data and submit recommendations to management for approval.</p></li><li><p>Execute and support procedures related to privacy complaints, investigations, and incident handling.</p></li><li><p>Assist in ensuring compliance with organizational policies and applicable data protection regulations.</p></li><li><p>Prepare reports, documentation, and recommendations related to privacy assessments and investigations.</p></li><li><p>Collaborate with internal stakeholders to promote privacy awareness and support continuous improvement of data protection practices.</p></li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Education</strong></p><ul><li><p>Bachelor's or Master's degree in Computer Science, Information Technology, Information Security, Cybersecurity, or a related discipline.</p></li></ul><p><strong>Professional Certifications</strong></p><p>Candidates holding one or more of the following certifications will be preferred:</p><ul><li><p>Certified Information Privacy Manager (CIPM)</p></li><li><p>Certified Information Privacy Professional (CIPP)</p></li><li><p>Equivalent Data Protection or Privacy certifications</p></li></ul><p>Experience</p><ul><li><p>Minimum <strong>8 years</strong> of relevant professional experience in data protection, privacy, information security, cybersecurity, compliance, or related fields.</p></li></ul><p>Required Skills & Knowledge</p><ul><li><p>Strong knowledge of data protection and privacy principles.</p></li><li><p>Understanding of cybersecurity concepts, cyber threats, and vulnerabilities.</p></li><li><p>Knowledge of data protection laws, regulations, governance frameworks, policies, and procedures.</p></li><li><p>Familiarity with Artificial Intelligence (AI), blockchain, and other emerging technologies and their impact on privacy.</p></li><li><p>Technical understanding of computer networking concepts, network protocols, and network security methodologies.</p></li><li><p>Experience conducting privacy risk assessments and supporting privacy compliance activities.</p></li><li><p>Ability to manage multiple priorities while maintaining a high level of accuracy and professionalism.</p></li></ul><p>Language Requirements</p><ul><li><p><strong>English:</strong> Required (written and spoken).</p></li><li><p><strong>Arabic:</strong> Preferred but not mandatory.</p></li></ul><p><br></p><br>

<p>Job Description: Senior Database Administrator</p><p>Job Location</p><p><strong>Doha, Qatar – Onsite</strong></p><p>Employment Type</p><p><strong>Direct Payroll</strong></p><p>Experience Required</p><p><strong>6–8 Years</strong></p><p>Urgency</p><p><strong>Immediate / Urgent Requirement</strong></p><p>Candidate Location Requirement</p><p><strong>Only candidates currently available in Qatar and able to work onsite will be considered.</strong></p><p>Job Summary</p><p>We are seeking an experienced <strong>Senior Database Administrator (DBA)</strong> to manage and support enterprise-wide database environments across production, development, instructional, and business-critical systems.</p><p>The ideal candidate will have strong hands-on experience in <strong>Oracle Database, Microsoft SQL Server, and PostgreSQL</strong>, along with expertise in <strong>High Availability, Disaster Recovery, Business Continuity, Performance Tuning, Database Security, Backup & Recovery, ETL, Data Integration, and Database Monitoring</strong>.</p><p>The role requires a proactive database professional capable of maintaining highly available, secure, scalable, and high-performing enterprise database systems.</p><p>Key Responsibilities</p><ul><li><p>Administer and maintain enterprise-wide relational databases supporting production, development, testing, and other business-critical systems.</p></li><li><p>Install, configure, upgrade, patch, monitor, and troubleshoot <strong>Oracle Database, Microsoft SQL Server, and PostgreSQL</strong> environments.</p></li><li><p>Perform database object and security administration, including:</p><ul><li><p>Schemas</p></li><li><p>Tables</p></li><li><p>Tablespaces</p></li><li><p>Indexes</p></li><li><p>Views</p></li><li><p>Queries</p></li><li><p>Stored Procedures</p></li><li><p>User Roles</p></li><li><p>Profiles</p></li><li><p>Access Controls</p></li></ul></li><li><p>Monitor and optimize database performance through query tuning, indexing strategies, capacity planning, and resource optimization.</p></li><li><p>Diagnose and resolve database and system issues while ensuring maximum availability and minimal downtime.</p></li><li><p>Design, implement, and maintain <strong>High Availability (HA), Disaster Recovery (DR), and Business Continuity</strong> solutions.</p></li><li><p>Develop and manage database backup, recovery, restore, and retention strategies to ensure data integrity and availability.</p></li><li><p>Monitor database audit logs, system logs, storage utilization, and disk space availability.</p></li><li><p>Manage database security tools and controls to maintain a secure database environment.</p></li><li><p>Perform routine database maintenance, health checks, patching, upgrades, and version management.</p></li><li><p>Design and maintain <strong>Data Warehouses and Data Marts</strong> to support enterprise reporting and analytics.</p></li><li><p>Develop and support <strong>ETL processes, data integration, and data migration</strong> between enterprise databases and third-party applications.</p></li><li><p>Implement and support BI reporting and analytics solutions using modern tools.</p></li><li><p>Provide database expertise for application enhancements, upgrades, and new system implementations.</p></li><li><p>Develop data models, including <strong>Entity Relationship Diagrams (ERDs)</strong>, based on business and end-user requirements.</p></li><li><p>Perform database capacity planning and storage management.</p></li><li><p>Manage system executables, redo logs, archive logs, transaction logs, system data files, application data files, and index files.</p></li><li><p>Ensure compliance with organizational policies and procedures related to data integrity, security, and access management.</p></li><li><p>Collaborate with application, infrastructure, security, and business teams to support enterprise systems.</p></li><li><p>Maintain technical documentation, operational procedures, database standards, and recovery plans.</p></li><li><p>Evaluate and implement modern database technologies, automation tools, <strong>AI tools, and Generative AI solutions</strong>, where applicable.</p></li><li><p>Perform other reasonable duties as assigned by the supervisor.</p></li></ul><p>Required Skills & Qualifications</p><p>Education</p><ul><li><p>Bachelor's Degree in <strong>Computer Science, Information Technology, Engineering</strong>, or another relevant technology-related field from an accredited institution.</p></li></ul><p>Experience</p><ul><li><p><strong>6–8 years of hands-on experience</strong> in Database Administration, Database Engineering, or Enterprise Database Support.</p></li><li><p>Experience supporting <strong>production, development, testing, and Disaster Recovery environments</strong>.</p></li><li><p>Experience working in enterprise-scale, high-availability environments.</p></li></ul><p>Mandatory Technical Skills</p><ul><li><p>Strong hands-on experience with:</p><ul><li><p><strong>Oracle Database Administration</strong></p></li><li><p><strong>Microsoft SQL Server Administration</strong></p></li><li><p><strong>PostgreSQL Administration</strong></p></li></ul></li><li><p>Experience in database installation, configuration, administration, patching, upgrades, and migrations.</p></li><li><p>Strong knowledge of:</p><ul><li><p>Database Performance Tuning</p></li><li><p>Query Optimization</p></li><li><p>Index Optimization</p></li><li><p>Capacity Planning</p></li><li><p>Database Monitoring</p></li><li><p>Backup & Recovery</p></li><li><p>Database Security</p></li><li><p>User and Access Management</p></li></ul></li><li><p>Experience implementing and managing:</p><ul><li><p><strong>High Availability (HA)</strong></p></li><li><p><strong>Disaster Recovery (DR)</strong></p></li><li><p><strong>Business Continuity (BCP)</strong></p></li></ul></li><li><p>Experience with database replication and data synchronization technologies.</p></li><li><p>Strong understanding of database storage, disk management, log management, and data file management.</p></li><li><p>Experience with <strong>ETL, Data Integration, Data Migration, Data Warehousing, and Data Marts</strong>.</p></li><li><p>Experience in database security, auditing, monitoring, and compliance.</p></li><li><p>Knowledge of data modelling and <strong>Entity Relationship Diagrams (ERDs)</strong>.</p></li><li><p>Experience integrating enterprise databases with third-party applications and systems.</p></li></ul><p>Preferred Skills</p><ul><li><p>Experience with <strong>Power BI</strong> or other Business Intelligence and reporting tools.</p></li><li><p>Exposure to:</p><ul><li><p>Data Lakes</p></li><li><p>Modern Data Platforms</p></li><li><p>Cloud Databases</p></li><li><p>AI Tools</p></li><li><p>Generative AI</p></li></ul></li><li><p>Experience with enterprise database automation and scripting.</p></li><li><p>Knowledge of cloud platforms such as <strong>Oracle Cloud Infrastructure (OCI), Microsoft Azure, or AWS</strong>.</p></li><li><p>Experience with system design and enterprise architecture concepts.</p></li></ul><p>Ideal Candidate Profile</p><p>The ideal candidate will be a hands-on <strong>Senior Database Administrator</strong> with strong expertise across <strong>Oracle, Microsoft SQL Server, and PostgreSQL</strong>. The candidate should have proven experience supporting mission-critical enterprise databases and implementing robust <strong>High Availability, Disaster Recovery, Backup & Recovery, Security, Performance Tuning, and Data Integration</strong> solutions.</p><p>The candidate must currently be available in <strong>Qatar</strong> and willing to work <strong>onsite in Doha</strong>.</p><p>Important Keywords for Sourcing</p><p><strong>Oracle DBA, Oracle Database Administrator, SQL Server DBA, MSSQL DBA, PostgreSQL DBA, Database Administrator, Senior DBA, Database Engineer, Database Architect, High Availability, HA, Disaster Recovery, DR, Business Continuity, BCP, Backup Recovery, Performance Tuning, Database Security, Database Monitoring, Oracle RAC, Data Guard, SQL Server Always On, PostgreSQL, ETL, Data Warehouse, Data Mart, Data Integration, Data Modelling, ERD, Power BI, Data Lake, OCI, Azure, AWS.</strong></p><p><strong>Desired Candidate Profile</strong></p><p><strong>Key Result Areas:</strong></p><br><ul><li><p>Administer the campus wide relational database for production, instructional, and development systems, collectively described as the Enterprise Computing Systems.</p></li><li><p>Perform database object and security administration such as creating indexes, schemas, table spaces, views, queries, stored procedures, user roles and profiles, and control and monitor data access.</p></li><li><p>Diagnose and correct database and system problems while maintaining high availability for Enterprise Systems.</p></li><li><p>Design and maintain data warehouse and data marts with ETL tools.</p></li><li><p>Design, develop, implement, tune, plan capacity and recover Enterprise Systems databases.</p></li><li><p>Provide data modelling such as entity relationship diagrams for new systems to meet end-user requirements.</p></li><li><p>Provide database expertise to add or modify tables, fields, indexes and stored procedures as needed for additional system functionality or upgrades to Enterprise Systems on campus.</p></li><li><p>Ensure that the database is backed up and that routine database maintenance and administration is done in a manner that provides data integrity and is consistent with high availability performance.</p></li><li><p>Ensure databases are always updated to the latest stable version</p></li><li><p>Manage, and monitor the current database deployed security tools to ensure high database security maintained</p></li><li><p>Monitor audit logs and other logs and ensure disk space availability.</p></li><li><p>Implement ETL and BI reporting using latest tools</p></li><li><p>Develop and monitor compliance with policies and procedures controlling the integrity of and access to data.</p></li><li><p>Provide for data integration between Enterprise System databases and other third-party systems as needed to maintain the integrity of the Enterprise Computer Systems and ongoing campus system user needs.</p></li><li><p>Perform disk management for the installation and configuration of database management system software.</p></li><li><p>Analyse and determine the optimal location of system executables, redo and manage log files, manage system data files, application data files and index files.</p></li><li><p>Other reasonable tasks as assigned by supervisor</p></li></ul><p><strong>Minimum Knowledge, Skills & Experience:</strong></p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Bachelor’s Degree in a technology related field from an Accredited College or University</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6-8 years of academic and research application development experience</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience in installing, configuring, fine tuning, and managing Oracle Database, Microsoft SQL, PostgreSQL</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Expertise in developing, implementing and maintaining disaster recovery and business continuity operations for enterprise data bases</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with Power BI, DataMart’s, Data Lake is a plus</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; AI Tools and Gen AI knowledge is a plus</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with system design concepts</p>

<p> · Provide technical and strategic advisory services to government entities to help them build their data asset registers and implement classification policies. · Design guidelines and toolkits to enable government employees to classify data independently and efficiently. · Measure the level of compliance of government entities with national data classification policies and submit periodic performance reports to decision-makers. · Lead national initiatives to assess cybersecurity risks resulting from improper classification of sensitive data at the state level. · Ensure alignment of different entities’ policies with national data protection and privacy legislation, and identify data sovereignty requirements. · Evaluate global technical solutions in data classification and provide recommendations to government entities on the best tools suited to the national infrastructure. · Organize national workshops and conferences to transfer knowledge and discuss challenges faced by institutions in implementing data classification projects. </p><p><strong>Desired Candidate Profile</strong></p><p>Required Academic Degree · Bachelor’s degree in (Information Security, Computer Science, or Management Information Systems). · Strongly preferred: Master’s or PhD in (Data Governance or Public Cybersecurity Policy). Required Training Certificates (If required) · CDMP (Certified Data Management Professional) – Advanced level · CGEIT (Certified in the Governance of Enterprise IT) · Audit and compliance certifications such as CISA (Certified Information Systems Auditor) · ISO/IEC 27001 Lead Auditor / Implementer Required Years of Experience · Minimum 10 years of experience in data governance and security. · Must include at least 4 years working on regulatory frameworks, national policies, or consulting for major government institutions. Required Language Proficiency · Arabic: Optional · English: Required · Other: Arabic preferred but not mandatory Other Required Qualifications · Regulatory background: Deep understanding of local data and privacy laws and national cybersecurity standards. · Consulting skills: Strong ability to influence and negotiate with senior leadership across government entities. · Strategic vision: Ability to link data classification to national priorities such as digital transformation, data economy, and digital sovereignty. · Institutional excellence: Familiarity with government excellence standards and quality models (e.g., EFQM) to ensure world-class advisory services.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><span style="font-size: 11px;">Key Responsibilities</span></p><ul><li>Understand ongoing business problems and translate them into research and analytical studies</li><li>Identify relevant data sources and define the type of data required for analysis</li><li>Gather, clean, and prepare data for analysis to ensure accuracy and reliability</li><li>Perform in-depth data analysis to extract meaningful insights</li><li>Interpret findings and present actionable recommendations to support decision-making</li></ul><p>Experience, Professional Qualifications &amp; Criteria</p><ul><li>Degree in relevant fields such as Statistics, Mathematics, Economics, or a related analytical discipline</li><li>10+ years of Proven experience in data analytics or a similar analytical role</li><li>Professional Certification (preferred): Data Analytics Professional Certificate</li></ul><p>Language Requirements</p><ul><li>Fluency in Arabic (mandatory)</li><li>Strong proficiency in English</li></ul><p>Technical Skills</p><ul><li>Strong mathematical and analytical skills for collecting, measuring, organizing, and analyzing data</li><li>Working knowledge of programming languages such as SQL, Python, R, and Oracle</li><li>Experience with data models, database design development, segmentation, and data mining techniques</li><li>Hands-on experience with reporting tools, databases, and frameworks (XML, ETL, JavaScript frameworks)</li><li>In-depth understanding of statistical methods and tools used to analyze datasets</li><li>Familiarity with big data platforms such as Apache Spark and Hadoop</li><li>Proficiency in data visualization tools including Power BI and Tableau</li><li>Ability to design and apply algorithms to derive insights and solutions from datasets</li></ul><p>Soft Skills</p><ul><li>Strong critical thinking and analytical capabilities</li><li>Excellent communication and presentation skills</li><li>Problem-solving mindset with attention to detail</li><li>Ability to manage multiple priorities effectively</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Degree in relevant fields such as Statistics, Mathematics, Economics, or a related analytical discipline</li><li>10+ years of Proven experience in data analytics or a similar analytical role</li><li>Professional Certification (preferred): Data Analytics Professional Certificate</li><li>Fluency in Arabic (mandatory)</li><li>Strong proficiency in English</li></ul><p></p></section>

We are looking for a highly technical, execution-focused Product Delivery Lead to bridge the gap between closed sales and active customer success. In this role, you will own the critical onboarding phase, ensuring that new enterprise customers are seamlessly integrated into our Saa S platform despite having highly specific, complex data requirements.<br><br>You will be the orchestrator who turns a signed contract into active, AI-driven value. By combining a deep understanding of our product portfolio with expertise in data ingestion techniques and ontology mapping, you will eliminate friction in the setup process. Your ultimate goal is to accelerate the "Time-to-Value" for our customers, ensuring they can leverage our Agentic AI tools and sustainability solutions as quickly and effortlessly as possible.<br><br>Jobs To Be Done<br><br>Lead the end-to-end technical onboarding and implementation of our Saa S solutions for new enterprise customers. Serve as the primary bridge between the customer's technical teams and our internal engineering/data teams to define and execute data ingestion strategies. Manage complex data requirements, including leading ontology mapping exercises to ensure customer data seamlessly aligns with our AI models. Develop, manage, and execute detailed delivery project plans, ensuring timelines, milestones, and customer expectations are consistently met. Partner closely with the Business Developer to ensure a smooth handover from the sales cycle and align on strategic customer goals. Create repeatable, scalable onboarding playbooks to continuously reduce friction and speed up the delivery lifecycle for future customers. Troubleshoot early-stage data integration roadblocks, ensuring a frictionless transition into "business-as-usual" platform usage.<br><br>Education Requirements<br><br>Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field. Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued. Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.<br><br>Experience<br><br>5+ years of experience in technical delivery, Saa S implementation, solutions architecture, or technical account management. Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements. Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping. Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.<br><br>Skills And Competencies<br><br>Delivery Management: Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule. Technical Fluency: Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers. Product Mastery: Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data. Client Management: Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders. Problem Solving: A proactive, "fix-it-first" mentality when dealing with data integration bottlenecks.<br><br>KPIs<br><br>Time-to-Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights. Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope. Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases. Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience. Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.<br><br>Why Us<br><br>As a Product Delivery Lead, you will have the unique opportunity to shape the future of AI for sustainability and drive meaningful impact in the global energy sector. You will work alongside a passionate, mission-driven team and play a pivotal role in delivering innovative, disruptive solutions to some of the world’s most pressing environmental challenges.<br><br>Información Movilidad<br><br>Tenga en cuenta que cualquier solicitante que no sea ciudadano del país de la vacante estará sujeto al cumplimiento de los requisitos de inmigración aplicables para trabajar legalmente en ese país.<br><br>julio-31-2026

We are looking for a highly technical, execution-focused Product Delivery Lead to bridge the gap between closed sales and active customer success. In this role, you will own the critical onboarding phase, ensuring that new enterprise customers are seamlessly integrated into our Saa S platform despite having highly specific, complex data requirements.<br><br>You will be the orchestrator who turns a signed contract into active, AI-driven value. By combining a deep understanding of our product portfolio with expertise in data ingestion techniques and ontology mapping, you will eliminate friction in the setup process. Your ultimate goal is to accelerate the "Time-to-Value" for our customers, ensuring they can leverage our Agentic AI tools and sustainability solutions as quickly and effortlessly as possible.<br><br>Jobs To Be Done<br><br>Lead the end-to-end technical onboarding and implementation of our Saa S solutions for new enterprise customers. Serve as the primary bridge between the customer's technical teams and our internal engineering/data teams to define and execute data ingestion strategies. Manage complex data requirements, including leading ontology mapping exercises to ensure customer data seamlessly aligns with our AI models. Develop, manage, and execute detailed delivery project plans, ensuring timelines, milestones, and customer expectations are consistently met. Partner closely with the Business Developer to ensure a smooth handover from the sales cycle and align on strategic customer goals. Create repeatable, scalable onboarding playbooks to continuously reduce friction and speed up the delivery lifecycle for future customers. Troubleshoot early-stage data integration roadblocks, ensuring a frictionless transition into "business-as-usual" platform usage.<br><br>Education Requirements<br><br>Bachelor’s Degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field. Certifications in Project Management (e.g., PMP, Prince2, Scrum Master) are highly valued. Bonus points for certifications or coursework in Data Engineering, Cloud Architecture, or Database Management.<br><br>Experience<br><br>5+ years of experience in technical delivery, Saa S implementation, solutions architecture, or technical account management. Proven track record of successfully onboarding B2B enterprise customers with heavy data integration requirements. Hands-on experience navigating data ingestion pipelines, APIs, ETL processes, and complex data mapping/ontology mapping. Experience working alongside sales or business development teams in a fast-paced, high-growth tech environment.<br><br>Skills And Competencies<br><br>Delivery Management: Exceptional project management skills with the ability to herd cats, manage scope creep, and keep complex deployments strictly on schedule. Technical Fluency: Deep understanding of how data flows between systems. You don't need to write the code, but you must confidently discuss APIs, data ingestion, and ontology mapping with engineers. Product Mastery: Rapid ability to deeply understand our entire product portfolio and how different modules interact with customer data. Client Management: Excellent executive presence and communication skills. You can translate highly technical data requirements into clear business outcomes for stakeholders. Problem Solving: A proactive, "fix-it-first" mentality when dealing with data integration bottlenecks.<br><br>KPIs<br><br>Time-to-Value (TTV): Reduction in the average number of days from contract signature to the customer's first successful use of AI insights. Onboarding Success Rate: Percentage of customer implementations delivered on time and within scope. Data Integration Efficiency: Reduction in manual interventions or rework required during the data mapping and ingestion phases. Customer Satisfaction (CSAT): High satisfaction scores specifically tied to the onboarding and delivery experience. Playbook Adoption: Successful creation and internal adoption of standardized delivery processes.<br><br>Why Us<br><br>As a Product Delivery Lead, you will have the unique opportunity to shape the future of AI for sustainability and drive meaningful impact in the global energy sector. You will work alongside a passionate, mission-driven team and play a pivotal role in delivering innovative, disruptive solutions to some of the world’s most pressing environmental challenges.<br><br>Información Movilidad<br><br>Tenga en cuenta que cualquier solicitante que no sea ciudadano del país de la vacante estará sujeto al cumplimiento de los requisitos de inmigración aplicables para trabajar legalmente en ese país.<br><br>julio-31-2026

Job Description – Statistical Analyst Department: Planning & Quality Department Role Overview The Statistical Analyst is responsible for collecting, analyzing, and interpreting statistical data to support strategic planning, organizational performance measurement, and quality improvement initiatives. The role provides analytical insights, develops statistical reports, and supports evidence-based decision-making through the application of statistical techniques and data analysis methodologies. Key Responsibilities Collect, validate, clean, and analyze data from multiple sources to ensure accuracy and reliability. Perform statistical analyses to identify trends, patterns, correlations, and performance gaps. Prepare periodic statistical reports, dashboards, and analytical summaries for management. Support the development, monitoring, and analysis of Key Performance Indicators (KPIs). Conduct descriptive and inferential statistical analyses to support planning and quality initiatives. Assist in forecasting, predictive analysis, and performance modeling using appropriate statistical techniques. Develop data visualizations and dashboards to communicate analytical findings effectively. Support benchmarking studies, surveys, and research projects by applying statistical methodologies. Monitor data quality and recommend improvements to data collection and reporting processes. Collaborate with internal departments to understand analytical requirements and provide data-driven recommendations. Utilize statistical and business intelligence tools such as SPSS, R, Python, SQL, Excel, and Power BI. Prepare technical documentation, reports, and presentations summarizing statistical findings. Ensure compliance with organizational data governance, quality standards, and reporting requirements. Stay updated on statistical methods, analytical tools, and industry best practices. Qualifications Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Applied Statistics, Operations Research, or a related quantitative field. Master's degree is preferred. Professional certifications in Data Analytics, Business Intelligence, SQL, Power BI, or statistical software are an advantage. Experience3–5 years of experience in statistical analysis, data analytics, business intelligence, or performance analysis. Experience supporting strategic planning, quality management, or performance measurement is preferred. Experience in government or public sector organizations is an advantage. Knowledge, Skills & Competencies Strong knowledge of statistical concepts, quantitative analysis, and research methodologies. Proficiency in statistical software such as SPSS, R, Python, SAS, and database tools such as SQL. Experience with data visualization tools including Power BI or Tableau. Strong analytical, problem-solving, and critical thinking skills. Excellent attention to detail and data accuracy. Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders. Strong report writing, presentation, and communication skills. Good organizational and time management skills. Ability to work collaboratively within cross-functional teams. Commitment to continuous learning and professional development in analytics and statistics.

Job Description – Statistical Analyst Department: Planning & Quality Department Role Overview The Statistical Analyst is responsible for collecting, analyzing, and interpreting statistical data to support strategic planning, organizational performance measurement, and quality improvement initiatives. The role provides analytical insights, develops statistical reports, and supports evidence-based decision-making through the application of statistical techniques and data analysis methodologies. Key Responsibilities Collect, validate, clean, and analyze data from multiple sources to ensure accuracy and reliability. Perform statistical analyses to identify trends, patterns, correlations, and performance gaps. Prepare periodic statistical reports, dashboards, and analytical summaries for management. Support the development, monitoring, and analysis of Key Performance Indicators (KPIs). Conduct descriptive and inferential statistical analyses to support planning and quality initiatives. Assist in forecasting, predictive analysis, and performance modeling using appropriate statistical techniques. Develop data visualizations and dashboards to communicate analytical findings effectively. Support benchmarking studies, surveys, and research projects by applying statistical methodologies. Monitor data quality and recommend improvements to data collection and reporting processes. Collaborate with internal departments to understand analytical requirements and provide data-driven recommendations. Utilize statistical and business intelligence tools such as SPSS, R, Python, SQL, Excel, and Power BI. Prepare technical documentation, reports, and presentations summarizing statistical findings. Ensure compliance with organizational data governance, quality standards, and reporting requirements. Stay updated on statistical methods, analytical tools, and industry best practices. Qualifications Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Applied Statistics, Operations Research, or a related quantitative field. Master's degree is preferred. Professional certifications in Data Analytics, Business Intelligence, SQL, Power BI, or statistical software are an advantage. Experience3–5 years of experience in statistical analysis, data analytics, business intelligence, or performance analysis. Experience supporting strategic planning, quality management, or performance measurement is preferred. Experience in government or public sector organizations is an advantage. Knowledge, Skills & Competencies Strong knowledge of statistical concepts, quantitative analysis, and research methodologies. Proficiency in statistical software such as SPSS, R, Python, SAS, and database tools such as SQL. Experience with data visualization tools including Power BI or Tableau. Strong analytical, problem-solving, and critical thinking skills. Excellent attention to detail and data accuracy. Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders. Strong report writing, presentation, and communication skills. Good organizational and time management skills. Ability to work collaboratively within cross-functional teams. Commitment to continuous learning and professional development in analytics and statistics.

<p>Help shape the future of enterprise data by defining the information foundations that power investment decision-making.</p><p>The Role As a Business Data Analyst, you will play a key role in defining, documenting and governing conceptual business data models and Information Objects across enterprise platforms. Working closely with Enterprise Architects and Data Governance teams, you will help establish consistent business terminology and high-quality information models that support enterprise architecture, investment data governance and strategic transformation initiatives.</p><p>What You'll Do</p><ul><li>Define, document and maintain conceptual business data models and Information Objects across the enterprise landscape.</li><li>Maintain Information Object inventories and enterprise business glossaries within ServiceNow Enterprise Architecture.</li><li>Collaborate with Enterprise Architecture, Data Governance and business stakeholders to ensure consistency of business information and terminology.</li><li>Support enterprise architecture governance by ensuring conceptual data models align with organisational standards and strategic objectives.</li><li>Contribute to the successful adoption of enterprise information models across projects and transformation initiatives.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>A minimum of 3 years' experience in Business Analysis, Enterprise Architecture or Data Management. Strong analytical skills with experience documenting conceptual business information models and enterprise data structures. Knowledge of enterprise data governance principles and information management best practices. Excellent documentation, communication and stakeholder engagement skills. Ability to work collaboratively across technical and business teams while maintaining a high level of accuracy and attention to detail.</p><p>Bonus Points For</p><ul><li>Experience with ServiceNow Enterprise Architecture.</li><li>Experience within Investment Management, Asset Management or Financial Services.</li><li>Exposure to enterprise architecture governance frameworks.</li><li>Familiarity with conceptual data modelling techniques and business glossaries.</li><li>Experience supporting enterprise-wide transformation programmes.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><span><span><span><span>We are looking for a results-driven COO to lead daily operations, drive revenue growth, and build a high-performance culture, enabling the Founder to focus on strategic growth, AI implementation, and long-term vision.</span><span>Responsibilities:</span><span>- Lead day-to-day operations across all business divisions; manage department heads and ensure target achievement</span><span>- Drive revenue growth and operational excellence; implement KPIs, SOPs, dashboards, and accountability systems</span><span>- Lead the successful launch and operation of the new Business Center; build scalable systems for future expansion</span><span>- Improve customer experience and service quality across all touchpoints</span><span>- Coordinate closely with the Founder on strategic initiatives and organizational transformation</span></span></span></span><br><br></span><br><span>Requirements<span>- Minimum 10–15 years of senior leadership experience with proven success in managing multi-department operations</span><span>- Strong commercial and revenue growth mindset; experience implementing KPIs, SOPs, ERP/CRM, and performance management frameworks</span><span>- Background in business services, consultancy, hospitality, business centers, real estate, or professional services is an advantage</span><span>- Fluent in English (mandatory); Arabic is a strong advantage</span><span>- Strategic thinker with strong execution capability, high integrity, and an entrepreneurial mindset</span><br><br></span><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>MIS Consultant with strong expertise in Business Intelligence, Data Warehousing, Reporting, Dashboard Development, and Data Analytics. The ideal candidate will have extensive experience in designing and delivering enterprise reporting solutions, automating MIS processes, developing executive dashboards, and supporting data-driven decision-making across business functions. Experience in banking and regulatory reporting environments is highly preferred. Key Responsibilities Gather and analyze business requirements and translate them into scalable reporting and analytics solutions. Design, develop, and maintain MIS reports, dashboards, scorecards, and KPI tracking systems. Build interactive dashboards and visualizations using Power BI, IBM Cognos, SSRS, Tableau, and Advanced Excel. Develop and optimize SQL queries, stored procedures, and database objects for reporting and analytics. Design and implement ETL processes using SSIS, Informatica, Ab Initio, and related technologies. Automate recurring MIS and regulatory reporting processes to improve efficiency and accuracy. Develop executive-level reports providing actionable business insights. Monitor and ensure data quality, consistency, and governance standards. Support regulatory and compliance reporting requirements. Collaborate with Data Warehouse, Business, Risk, Operations, Finance, and IT teams to deliver reporting solutions. Perform report migration, performance tuning, and enhancement activities. Provide user training, documentation, and post-implementation support. Manage report scheduling, security, user access, and administration activities. Required Technical Skills BI &amp; Reporting Tools Power BI IBM Cognos Analytics SSRS Tableau IBM Planning Analytics (TM1) Advanced Excel DAX R Database Technologies SQL Server Oracle MySQL Teradata Sybase PL/SQL ETL &amp; Data Integration SSIS Informatica Ab Initio TM1 TI Processes Data &amp; Analytics Data Modeling Data Warehousing Data Governance Predictive Analytics Data Visualization Performance Tuning Data Quality Management</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Banking domain experience is mandatory</p><p></p></section>

Key Responsibilities Design, develop, configure, and maintain Oracle ODI data integration workflows and interfaces. Develop and manage ODI mappings, packages, procedures, scenarios, and load plans. Support ETL/ELT processes and data movement between source and target systems. Configure and support Oracle FCCM applications and related data integration processes. Work with FCCM modules such as AML, KYC, Enterprise Case Management, Customer Screening, and Transaction Monitoring. Perform data analysis, reconciliation, validation, and troubleshooting. Monitor scheduled jobs, batch processes, and data loads and resolve production issues. Develop and optimize SQL, PL/SQL, and Oracle database queries and procedures. Troubleshoot ODI, FCCM, database, and integration-related issues. Work with application, database, infrastructure, and business teams to resolve incidents. Support deployments across development, testing, UAT, and production environments. Prepare technical documentation, deployment procedures, and operational support documents. Participate in performance tuning and continuous improvement of ODI/FCCM processes. Required Skills Strong experience with Oracle Data Integrator (ODI). Hands-on experience with Oracle FCCM. Strong Oracle Database, SQL, and PL/SQL skills. Experience in ETL/data integration and data warehousing. Knowledge of FCCM data models and financial crime/compliance processes. Experience with batch processing, scheduling, monitoring, and troubleshooting. Familiarity with Linux/Unix scripting. Experience working in enterprise banking/financial services environments. Good understanding of SDLC, release management, and production support processes. Preferred Skills Experience with Oracle FCCM 8.x/9.x or later. Experience with Oracle Financial Services Analytical Applications (OFSAA). Knowledge of Oracle Web Logic, Java, and application-server environments. Experience with banking AML/KYC implementations. Knowledge of REST/SOAP APIs and enterprise integration. Experience with performance tuning and large-volume data processing. Education Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Oracle certifications in ODI, FCCM, OFSAA, or Oracle Database would be an advantage.

About Commercial Bank Of Qatar<br><br>Commercial Bank, founded in 1975 and headquartered in Doha, plays a vital role in Qatar’s economic development by offering a range of personal, business, government, international and investment services.<br><br>We believe in empowering our employees, providing them with opportunities for growth and professional development.<br><br>By Joining us, you’ll be part of a workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.<br><br>Join us in shaping the future of banking!<br><br>Job Summary<br><br>The Senior AI Product Owner - is responsible for driving the successful delivery of Data & AI products across assigned business domains, primarily Retail or Wholesale Banking. The role serves as a single point of accountability for product vision, prioritization, and execution, ensuring alignment between business objectives and Data & AI Lab delivery teams. The position bridges business and technology by translating strategic priorities into scalable, high-impact data and AI solutions, while ensuring value realization, governance, and delivery excellence across the product portfolio.<br><br>Key Accountabilities<br><br>Product Strategy & Vision Define and maintain the product vision and roadmap for assigned data and AI products within the business domain. Partner with domain heads and senior stakeholders to identify new opportunities for data-driven value creation. Stakeholder Management Act as the primary liaison between Data Lab and business units (Retail / Wholesale Banking), ensuring transparency, alignment, and shared accountability for outcomes. Manage stakeholder expectations, prioritize requests, and facilitate trade-off discussions. Communicate progress, risks, and dependencies to senior management and steering committees. Delivery Ownership Own and manage the product backlog across multiple teams (DE, DS, MLE, BI). Define epics, user stories, and acceptance criteria in collaboration with technical leads and architects. Ensure high-quality and timely delivery of data products, dashboards, ML models, and AI-driven capabilities. Lead sprint planning, retrospectives, and continuous improvement initiatives with Agile delivery teams. Planning & Coordination Oversee the end-to-end delivery lifecycle, including requirements gathering, design, development, testing, and release. Coordinate inter-team dependencies, manage capacity planning, and align releases across the Data Lab portfolio. Drive integration of Data Lab products with enterprise systems and business workflows. Value Realization & Governance Define and track key KPIs and success metrics for each product. Ensure compliance with the bank’s Data Governance, Privacy, and Security policies. Partner with Data Governance team to monitor data quality, lineage, and ownership within assigned products<br><br>Key Competencies<br><br>Functional / Business Skills Deep understanding of banking processes (Retail, Corporate / Wholesale, Digital channels). Strong product management background, ideally in Data, AI, or Digital transformation context. Ability to translate business needs into data and AI product requirements. Experience defining roadmaps, KPIs, and ROI metrics. Leadership & Collaboration Excellent stakeholder management and communication across senior business and technology leadership. Proven experience leading cross-functional delivery teams. Strong planning, prioritization, and coordination skills. Entrepreneurial mindset with ability to balance innovation and operational excellence. Technical Awareness Understanding of AI/ML lifecycle, analytics, BI, and reporting. Familiarity with modern data platforms (e.g., Data Lakehouse, Data Streaming, APIs). Experience working in Agile or hybrid delivery models.<br><br>Qualifications & Experience<br><br> Bachelor’s or Master’s degree in AI, Data Science, Finance, Information Systems, or a related field. 10+ years of experience in Product Management, Program Management, Data / AI Delivery. Proven track record in delivering complex data or AI products in financial services or technology organisations. Agile certification (Scrum PO, SAFe, or equivalent) preferred. PMI PMBoK certification preferred<br><br>Why Commercial Bank?<br><br> Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance. An Innovation-Driven, Digital-First Environment where employees work with the latest tools and technologies to redefine banking Opportunities for Global Partnerships & International Exposure, connecting employees with global networks and perspectives. A focus on Employee Well-being & Work-Life Balance, ensuring a healthy and supportive environment for all team members Competitive Compensation & Benefits that ensure our employees are rewarded for their dedication and performance A strong Commitment to Diversity, Equity & Inclusion, fostering a culture that values every individual’s unique perspective. <br><br>At Commercial Bank, we don’t just offer careers, We shape futures by pioneering digital transformation in Qatar’s banking sector, blending digital-first approach to redefine banking through innovative solutions.<br><br>Disclaimer<br><br>We appreciate your interest in joining CBQ! Please note that only selected candidates will be contacted for further steps in the hiring process. This job posting is for informational purposes only, and CBQ reserves the right to modify, withdraw, or close it at any time without notice.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Property Management Sales Executive – Remote Position Type: Full-Time, Remote Working Hours: U.<br>S. Business Hours (EST Required) About the Role At Pavago, one of our clients is hiring a Property Management Sales Executive to convert qualified property owners and real estate investors into long-term property management clients.<br> This is a true closing role—not prospecting or appointment setting.<br> You’ll work exclusively with qualified inbound and company-provided leads, guiding prospects through the sales process, presenting tailored property management solutions, handling objections, and closing signed management agreements.<br> If you’re a confident closer with experience in property management or real estate sales and enjoy turning opportunities into long-term client relationships, this role is built for you.<br> What You’ll Own Sales Closing &amp; Deal Management Contact company-provided qualified leads and initiate sales conversations.<br> Lead discovery calls, presentations, and pricing discussions.<br> Convert qualified prospects into signed property management clients.<br> Confidently ask for the business and close opportunities.<br> Handle objections and negotiate terms professionally.<br> Ensure a seamless transition from signed agreement to onboarding.<br> Full Sales Cycle Management Manage the sales process from initial contact through signed agreement.<br> Quickly qualify opportunities and prioritize high-conversion prospects.<br> Drive deals forward while maintaining momentum throughout the sales cycle.<br> Maintain ownership of deal progression and timely follow-up.<br> Coordinate contract execution after closing.<br> Client Needs Analysis &amp; Solution Selling Understand the needs and challenges of: Property owners Landlords Real estate investors Recommend property management solutions based on portfolio size and investment goals.<br> Clearly communicate the value, ROI, and benefits of the company’s services.<br> Build urgency while maintaining a consultative sales approach.<br> Pipeline &amp; CRM Management Maintain accurate CRM records throughout the sales cycle.<br> Update deal stages, notes, and follow-up activities consistently.<br> Track pipeline health and forecast opportunities accurately.<br> Ensure CRM data remains organized and up to date.<br> What Makes You a Strong Fit Natural closer who enjoys negotiating and winning business.<br> Strong consultative selling skills.<br> Confident presenting value to property owners and investors.<br> Results-driven with excellent follow-through.<br> Comfortable working independently in a remote environment.<br> Organized with strong pipeline management skills.<br> Excellent verbal communication and relationship-building abilities.<br> Required Experience &amp; Skills Experience 2+ years of closing experience in: Property Management Real Estate Sales Proven history of closing deals—not just generating leads or setting appointments.<br> Experience selling directly to: Property owners Landlords Real estate investors Core Skills Strong understanding of: Property management services Pricing models Client expectations Excellent objection-handling and negotiation skills.<br> Ability to communicate value clearly and guide prospects toward confident buying decisions.<br> Experience using CRM platforms to manage sales pipelines.<br> Self-motivated with strong ownership and accountability.<br> Nice-to-Have Experience selling residential or commercial property management services.<br> Familiarity with property management software and CRM platforms.<br> Knowledge of real estate investment strategies and rental property operations.<br> Experience working with U.<br>S.-based clients.<br> What a Typical Day Looks Like Contact qualified property management leads.<br> Conduct discovery calls and sales presentations.<br> Present customized management solutions.<br> Handle objections and negotiate agreements.<br> Follow up with active opportunities.<br> Update CRM records and forecast pipeline activity.<br> Coordinate signed agreements with internal operations teams.<br> In short: You’ll turn qualified opportunities into long-term property management clients while owning every stage of the closing process.<br> Key Metrics for Success (KPIs) Number of deals closed Lead-to-client conversion rate Sales cycle length Average contract value Revenue generated Pipeline accuracy and CRM discipline Why Join Us?<br> Focus exclusively on closing qualified opportunities.<br> No cold prospecting or appointment setting.<br> Direct impact on revenue and company growth.<br> Fully remote work environment.<br> Performance-driven culture with long-term career opportunities.<br> Opportunity to advance into: Senior Sales Executive Sales Manager Business Development Manager Director of Sales Interview Process Spark Hire Intro Video (3–5 minutes) Client Interview Offer &amp; Onboarding What Happens After You Apply After submitting your application, you’ll receive an email invitation from Spark Hire to record a short 3–5 minute Intro Video .<br> This is the first step in our hiring process and can be completed whenever it’s convenient for you.<br> Instead of multiple initial screening calls, you’ll have one opportunity to introduce yourself, discuss your experience closing property management or real estate deals, explain your sales approach, and share examples of how you’ve handled objections, negotiated agreements, and consistently converted qualified leads into signed clients.<br> Your video will be reviewed by the hiring team before moving to the client interview.<br> You can record your video as many times as you’d like before submitting it—only your final version will be reviewed.<br> Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after applying.<br> Apply Now If you’re an experienced closer who understands property management sales, thrives in consultative conversations, and enjoys turning qualified opportunities into long-term client relationships, we’d love to hear from you.<br> Apply today and help drive the growth of a leading property management business.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Apply paint, stain and other finishes to property walls, ceilings, and furniture using brushes, spray guns, or rollers. Apply primers or sealers to prepare new surfaces for finish coats. Remove old finishes by stripping, sanding, wire brushing, burning, or using water and/or abrasive blasting. Cover surfaces with appropriate material for protection during painting and post appropriate paint signs. Clean up and store paint and painting tools and equipment in appropriate areas. Coordinate with vendor in order to modify colors of paint, stain, or varnish.&nbsp;<br>Follow all company and safety and security policies and procedures; report maintenance problems, safety hazards, accidents, or injuries; and complete safety training and certifications. Ensure uniform and personal appearance are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Speak with others using clear and professional language. Support team to reach common goals. Ensure adherence to quality expectations and standards. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Move up and down a ladder. Grasp, turn, and manipulate objects of varying size and weight. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance. Stand, sit, or walk for an extended period of time. Perform other reasonable job duties as requested by Supervisors.<br>Safety and Security<br>Use proper equipment, wear appropriate personal protective clothing (PPE), and employ correct lifting procedures, as necessary, to avoid injury.<br>Complete appropriate safety training and certifications to perform work tasks.<br>Follow Hazardous Material Management Program procedures for handling and disposing of chemicals, fertilizer, pesticides, blood borne pathogens, etc., including using Material Safety Data Sheets (MSDS).<br>Report work related accidents, or other injuries immediately upon occurrence to manager/supervisor.<br>Follow policies and procedures for the safe operation and storage of tools, equipment, and machines.<br>Identify and correct unsafe work procedures or conditions and/or report them to management and security/safety personnel.<br>Follow property specific procedures for handling emergency situations (e.g., evacuations, medical emergencies, natural disasters).<br>Follow company and department safety and security policies and procedures to ensure a clean, safe, and secure environment.<br>Policies and Procedures<br>Protect the privacy and security of guests and coworkers.<br>Protect company tools, equipment, machines, or other assets in accordance with company policies and procedures.<br>Follow company and department policies and procedures.<br>Ensure uniform, nametags, and personal appearance are clean, hygienic, professional and in compliance with company policies and procedures.<br>Maintain confidentiality of proprietary materials and information.<br>Perform other reasonable job duties as requested by Supervisors.<br>Guest Relations<br>Actively listen and respond positively to guest questions, concerns, and requests using brand or property specific process (e.g., LEARN, PLEASED, Guest Response, LEAP) to resolve issues, delight, and build trust.<br>Address guests' service needs in a professional, positive, and timely manner.<br>Thank guests with genuine appreciation and provide a fond farewell.<br>Welcome and acknowledge each and every guest with a smile, eye contact, and a friendly verbal greeting, using the guest's name when possible.<br>Communication<br>Speak to guests and co-workers using clear, appropriate and professional language.<br>Discuss work topics, activities, or problems with coworkers, supervisors, or managers discreetly and quietly, avoiding public areas of the property.<br>Working with Others<br>Support all co-workers and treat them with dignity and respect.<br>Quality Assurance/Quality Improvement<br>Comply with quality assurance expectations and standards.<br>Physical Tasks<br>Reach overhead and below the knees, including bending, twisting, pulling, and stooping.<br>Move up and down a ladder.<br>Grasp, turn, and manipulate objects of varying size and weight, requiring fine motor skills and hand-eye coordination.<br>Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance.<br>Stand, sit, or walk for an extended period of time or for an entire work shift.<br>Install, Maintain, and Repair Items<br>Ensure that all flammable materials are stored in OSHA and EPA approved containment devices.<br>Maintain Building and Property<br>Report any serious maintenance problems, unusual findings, or safety hazards immediately to the manager/supervisor.<br>Painting/Carpentry<br>Apply paint, stain, varnish, enamel, and other finishes to property walls, ceilings, and furniture using brushes, spray guns, or rollers while maintaining property color scheme specifications.<br>Apply primers or sealers to prepare new surfaces, such as bare wood or metal, for finish coats.<br>Remove old finishes by stripping, sanding, wire brushing, burning, or using water and/or abrasive blasting.<br>Cover surfaces with drop cloths or masking tape and paper for protection during painting and post appropriate paint signs.<br>Clean up and store paint and painting tools and equipment in appropriate areas.<br>Coordinate with vendor in order to modify colors of paint, stain, or varnish with oil, thinning, and drying additives in order to obtain desired colors and consistencies.<br>Education: Technical, Trade, or Vocational School Degree<br>Related Work Experience: At least 1 year of related work experience<br>Supervisory Experience: No supervisory experience is required<br>At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law.</span> </div>