data solutions sales specialist Jobs in Doha

data solutions sales specialist

head of data and analytics

lead data scientist

big data consultant

bigdata consultant

data science manager

Qatar Airways

<div><div><div><div><div><div><div><div>Job title
</div><div>Cargo Data Science Manager
</div></div><div><div>Ref #
</div><div>228774
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Cargo &amp; Airport Operations
</div></div><div><div><ul><li>Closing date: 09-Dec-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p>The air cargo industry is entering an accelerated phase of change and transformation. From digitalizing the end-to-end value chain, to fortifying a true e-commerce experience, to the launch of digital freight marketplaces, and much more. As the world&rsquo;s largest global air cargo carrier, Qatar Airways Cargo is leading this change.</p><p>
To support our vision, we are looking for talents &ndash; the bold, the imaginative and the change-maker. All of who will support Qatar Airways Cargo&rsquo;s position as a true leader in the air freight industry. If you want to make an impact, to grow your experience and to challenge your comfort zone, then join us at Qatar Airways Cargo and be part of our passionate team.</p><p>
As the business expands, we are pleased to announce an incredibly exciting opportunity to be part of Qatar Airways Cargo&rsquo;s Data Analytics Team in Doha as Cargo Data Science Manager.</p><p><b>
About the role</b></p><p>
In this role, you will be required to spearhead the development and implementation of advanced cargo analytics and optimization strategies. This role is essential in fostering a data-driven decision-making culture within the organization, focusing on critical areas such as cargo pricing strategy, accurate capacity forecasting, efficient route planning, enhanced operational efficiency, and improved customer experience.</p><p>
In addition, engage in hands-on data science projects, utilizing statistical analysis and machine learning techniques, while also providing leadership to a team of data professionals.</p><p>
As part of your role, your responsibilities will be inclusive of, but not limited to the following:</p><ul><li>Lead and mentor a team of data scientists and analysts to design, develop, and implement advanced and valuable analytics solutions across the organization</li><li>Transform and Elevate the Data Culture of the organization from Descriptive Analytics to Predictive and Prescriptive Analytics through the implementation of predictive models through AI/ML</li><li>Lead the development of AI use cases across the organization through the orchestration of workshop aimed ai collecting use cases across the departments</li><li>Utilize AI/ML to improve load factor, turnaround times, and fuel efficiency</li><li>Work with cross-functional teams to understand business needs and identify opportunities to leverage data to drive business decisions</li><li>Effective Project Management by coordinating and communicating with all stakeholders involved in the usage of the visualization tool and making sure the tools developed satisfy stakeholders&rsquo; needs</li><li>Develop and maintain relationships with external data providers and partners</li><li>Monitor industry trends and best practices to ensure the team is up to date with the latest analytical and data management techniques</li><li>Look at state-of-the-art tools used in the industry and best practices in order to Innovate, Improve and Advance analytical capabilities within the organization.</li><li>Work closely with the Technical Team to ensure optimal performance of the analytical platform. Improve existing processes within the team and the organization which involves data and analytics tools</li><li>Oversee the implementation of ETL processes, data models, and data pipelines to ensure data is clean, accurate, and available.</li></ul><p><b><br>
Be part of an extraordinary story</b></p><p>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.</p><p>
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.</p><p>
Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>About you</b></p><ul><li>Bachelor&rsquo;s degree or equivalent with at least 4 years of job-related experience.</li><li>Programming &amp; Analytics: Proficient in Python (Pandas, NumPy, scikit-learn, XGBoost, PyTorch/TensorFlow).</li><li>Advanced SQL for querying complex relational databases. Experience in R or Scala is a plus</li><li>Machine Learning &amp; Modeling: Hands-on experience building and deploying predictive models (e.g., demand forecasting, dynamic pricing, load optimization).</li><li>Familiarity with time series analysis, Classification / regression, and unsupervised learning (e.g., clustering for shipment segmentation).</li><li>Data Engineering: Working knowledge of data pipelines using tools like Airflow, dbt, or Apache Spark. Experience managing or working with ETL processes, data lakes, and cloud data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse).</li><li>Visualization &amp; Reporting: Strong proficiency in Power BI and Tableau for executive dashboards. Comfortable translating data insights into clear business presentations</li><li>Cloud &amp; DevOps: Experience deploying models or data apps in cloud environments (AWS/GCP/Azure). Familiarity with Docker, Kubernetes, and CI/CD pipelines for ML Ops</li><li>Experience in competitive, strategic business and/or financial assessment, trending and forecasting.</li><li>Experience in a Network Strategy, Performance or Planning Environment.</li><li>Prior experience within the Airline/Travel industry background or related field is an added advantage.</li></ul><p><b>
About Qatar Airways Group</b><br>
<br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.</p><p>
So, whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries and be part of a truly global community.</p><p><b>
How to apply</b></p><p>
If you&rsquo;re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=228774</div></div></div></div></div></div></div></div>

Cargo Data Science Manager

Visa

<div><b>Company Description</b><p><br>
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.</p><p>
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.</p><b><br>
Job Description</b><br>
<ul><li>
Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based decisioning processes within their cards and payments program</li><li>
Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organizations to strategies, co-create, deploy, and reap the benefits of data-driven solutions.</li><li>
Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa&rsquo;s growth in the region.</li><li>
Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights</li><li>
Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges</li><li>
Review, direct, guide, and inspire the analytical work of junior members in the team</li><li>
Collaborate with internal Technology partners and Data Engineering function to best leverage Visa&rsquo;s internal technology platforms, data, and the broader Visa ecosystem to support our clients&rsquo; technical data needs</li><li>
Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency.</li><li>
Manage and grow talent within the team.</li><li>
Develop, share, and build global best practices and knowledge management within the team</li><li>
Socialize innovative ideas and approaches that are scalable and have market demand</li><li>
Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa&rsquo;s highly regarded market standing is maintained</li></ul><p>
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.</p><b><br>
Qualifications</b><p><br>
Minimum of 6+ years of expertise in applying Machine Learning solutions to business problems &ndash; model development and production experience required<br>
Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering<br>
Experience working in one or more of the Card &amp; Payments markets around the globe with specific responsibilities in payments, retail banking, or retail merchant industries<br>
Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product<br>
Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems<br>
Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams, including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring data-driven results to various audience levels<br>
Proven ability to deliver results within committed scope, timeline, and budget<br>
Very strong people/project management skills and experience<br>
Ability to travel within MENA on short notice<br>
Technical Expertise<br>
Expertise in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.).<br>
Familiarity with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDE&rsquo;s (Jupyter Notebooks) proficiency in SAS technologies and techniques<br>
Strong programming ability in different programming languages such as Python, R, Scala, Java, Matlab, C++, and SQL. Working knowledge of GENAI and Agentic AI tools and algorithms<br>
Proficient in some or all of the following techniques: Linear &amp; Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Markov Chain Monte Carlo, Gibbs Sampling, Evolutionary Algorithms (e.g. Genetic Algorithms, Genetic Programming), Support Vector Machines, Neural Networks, etc.<br>
Expert knowledge of advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial, and multinomial regression, ANOVA) Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis) Decision Tree techniques (e.g., CART, CHAID)</p><b><br>
Additional Information</b><p><br>
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</p></div>

GCC Data Science Manager

Starlink Qatar

<div>
 <p>
  📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 </p>
 <p>
  We are seeking an experienced Lead Data Scientist to spearhead the development and deployment of data-driven solutions on our innovative digital platform in Doha, Qatar. In this pivotal role, you will apply advanced analytics, machine learning, and statistical modeling to derive actionable insights from complex datasets, directly influencing business strategy and enabling intelligent services. You will guide a team of data scientists, fostering a culture of innovation and continuous improvement. This position requires close collaboration with data engineering, architecture, and operations teams to operationalize models through robust MLOps practices. Your expertise will be crucial in managing the entire model lifecycle, from data preparation and model development to deployment, monitoring, and optimization, ensuring our solutions deliver sustained, measurable value.
 </p>
 <p>
  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 </p>
 <p>
  <br/>
 </p>
 <p>
  🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 </p>
 <p>
  &rtrif; 10+ years of professional experience in Data Science and Machine Learning roles.
 </p>
 <p>
  &rtrif; Proven track record of leading and mentoring data science teams.
 </p>
 <p>
  &rtrif; Advanced proficiency in Python and its data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
 </p>
 <p>
  &rtrif; Hands-on experience implementing CI/CD pipelines and MLOps using tools like MLflow, Databricks, and Microsoft Fabric.
 </p>
 <p>
  &rtrif; Deep understanding of the complete machine learning model lifecycle, including monitoring, A/B testing, and performance tracking.
 </p>
 <p>
  &rtrif; Expertise in statistical modeling, predictive analytics, and experimental design.
 </p>
 <p>
  &rtrif; Significant experience building large-scale analytical solutions with cloud platforms, specifically Azure Synapse Analytics, Azure Stream Analytics, and Azure HDInsight.
 </p>
 <p>
  &rtrif; Strong background in the IoT domain, with exposure to smart city or infrastructure analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 </p>
 <p>
  &rtrif; Master&rsquo;s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative discipline.
 </p>
 <p>
  &rtrif; Demonstrated ability to translate complex analytical concepts into actionable business insights for non-technical stakeholders.
 </p>
 <p>
  &rtrif; Experience working closely with Data Governance and Architecture teams to ensure model compliance and integration.
 </p>
 <p>
  &rtrif; Creative problem-solving skills with a history of developing innovative analytical methodologies.
 </p>
 <p>
  &rtrif; Strong business acumen with the ability to align data science initiatives with strategic KPIs.
 </p>
</div>


Lead Data Scientist

<div><div><div><div><div><div><div><div>Job title
</div><div>Manager Data Engineering
</div></div><div><div>Ref #
</div><div>227579
</div></div><div><div>Location
</div><div>Qatar - Doha
</div></div><div><div>Job family
</div><div>Corporate &amp; Commercial
</div></div><div><div><ul><li>Closing date: 17-Dec-2025</li></ul><br>
</div></div></div></div></div><div><div><div><div><div><p><b>About Your Job:</b></p><p>
In this role, you will be responsible for leading and managing a team of data engineers to design, build and maintain scalable and secure data products for multiple business divisions within Qatar Airways. You will collaborate closely with cross-functional teams across the organization to ensure that the data products are accessible, reliable and secure. Additionally, as Manager Data Engineering, you will be expected to drive the integration of Artificial Intelligence (AI) and Generative AI technologies into data products and solutions. This includes identifying opportunities for automation and enhanced analytics through AI, overseeing the development and deployment of machine learning models, and ensuring that AI-driven solutions adhere to ethical standards and regulatory requirements.</p><p><b>
Key Responsibilities:</b></p><ul><li>Lead end-to-end delivery of Data &amp; AI projects, including data warehouse and data lake implementations, data governance, advanced analytics, and dashboarding solutions.</li><li>Provide technical leadership and guidance to the data engineering team to design, develop, optimize and maintain data products.</li><li>Collaborate with stakeholders to understand data requirements and translate them into data solutions.</li><li>Establish best practices, standards, and processes for data engineering operations.</li><li>Develop and implement a data &amp; AI strategy that aligns with the organization's overall goals.</li><li>Design, build, and maintain data pipelines, data warehouses, and data lakes on cloud.</li><li>Implement and enforce data quality standards for the data products and maintain data product SLAs.</li><li>Oversee the design, development, and deployment of AI models and data pipelines to support business operations and decision-making.</li><li>Work with data platform &amp; architecture team to secure the data and data products, optimize cloud cost.</li><li>Work with data product owners to define and prioritize data needs.</li><li>Work with data governance team to implement governance processes and standards.</li><li>Stay up to date on the latest data &amp; AI technologies and trends.</li><li>Mentor and coach data engineers on their career development.</li><li>Identify inter-dependencies between the various stakeholder groups to ensure all are aligned and risks are identified, mitigated and communicated.</li><li>Work closely with business leaders (VPs and above), in a multi-cultural environment.</li><li>Drive innovation to ensure that solutions drive value to the business.</li><li>Lead the data engineering community of practice.</li></ul><p><b>
Be part of an extraordinary story:</b><br>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.<br>
Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.<br>
Together, everything is possible.</p>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualifications
</b></h3></div></div><div><div><div><div><p><b>Experience &amp; Knowledge:</b></p><ul><li>Bachelor&rsquo;s Degree or equivalent (Degree in engineering, computer applications, commerce, or business administration).</li><li>10+ years of experience in data domain, with a mix of Data Engineering and Data Science experience, including at least 4 years in a leadership role.</li><li>Proven track record in delivering large-scale data programs, including data warehousing, data governance, AI/ML solutions, or BI/dashboarding platforms.</li><li>Hands on experience working with Google Cloud Platform and its suite of data &amp; AI services.</li><li>Strong understanding of database technologies (SQL, NoSQL, etc.), data modelling and data warehousing concepts.</li><li>Strong knowledge of data management, statistical analysis, machine learning frameworks, and AI technologies.</li><li>Strong solutioning skills, able to align business requirements with the right technical approaches and resources.</li><li>Leadership and team management skills, with the ability to guide, motivate, and develop a high-performing team</li><li>Strong understanding of data architecture and design principles.</li><li>Project management and organizational skills.</li><li>Excellent stakeholder management, communication, and leadership skills.</li><li>Knowledge of machine learning and artificial intelligence (including Generative AI)</li><li>Knowledge of data governance and compliance</li><li>Knowledge of airline domain.</li><li>Knowledge of data mesh architecture.</li><li>Knowledge of agile/lean development methodologies</li></ul><p><b>
About Qatar Airways Group:</b><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p><p><b>
How to apply:</b></p><p>
If you&rsquo;re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.</p><br>
</div></div><div></div><div><div><br>
<div><b>About Qatar Airways Group
</b></div><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before.<br>
<br>
So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.<br>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=227579</div></div></div></div></div></div></div></div>

Manager Data Engineering

QAFCO (Qatar Fertiliser Company)

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The function is dedicated to leveraging data as a strategic asset, unlocking profound insights, and fostering a culture of informed decision-making.
 <br/>
 <br/>
 By employing cutting-edge analytics and intelligence solutions, the Data and Analytics Section stands as a cornerstone, driving the evolution of QAFCO into a dynamic, data-centric powerhouse poised for sustained growth and excellence.
 <br/>
 <br/>
 The role will be the driving force behind the company&rsquo;s data-driven decision-making process harnessing the power of data to provide actionable insights, inform strategy, and enhance operational efficiency. The role will be responsible for establishing the data foundation essential for digitization and building requisite intelligence into solutions.
 <br/>
 <br/>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Lead and manage the overall activities pertaining to the development of data governance/architecture and data opportunities, tracking, and following up with digital and data projects/initiatives supporting digital projects and capabilities.
  </li>
  <li>
   Interpret the digital strategy and related initiatives, ensuring a seamless alignment of QAFCO's overall data and analytics strategy to drive transformative outcomes.
  </li>
  <li>
   Collaborate closely with key business stakeholders to comprehensively understand data requirements integral to proposed digital initiatives, ensuring data-driven success.
  </li>
  <li>
   Collaborate closely with key business stakeholders to comprehensively understand data requirements integral to proposed digital initiatives, ensuring data-driven success.
  </li>
  <li>
   Develop efficient and effective data models and solutions that cater to the unique needs of the business, optimizing data utilization for enhanced decision-making.
  </li>
  <li>
   Liaise with relevant stakeholders to develop analytics for every digital initiative, addressing redundancies and ensuring streamlined data processes.
  </li>
  <li>
   Provide expert guidance to the data architect in defining policies, standards, procedures, models, and technologies, fostering a robust data governance framework.
  </li>
  <li>
   Collaborate with the data architect in designing, creating, deploying, and managing QAFCO's data architecture, ensuring scalability and efficiency.
  </li>
  <li>
   Compelling Data Visualization: Craft clear and compelling visualizations to empower businesses with actionable insights, fostering innovation, process optimization, and adaptability to the evolving digital landscape.
  </li>
  <li>
   Provide strategic guidance for the development of data models that generate actionable insights, effectively addressing complex business challenges.
  </li>
  <li>
   Lead and manage a team of data analysts, providing guidance, direction, and support in their day-to-day activities.
  </li>
  <li>
   Develop and implement a comprehensive analytics strategy to support the organization's business objectives.
  </li>
  <li>
   Collect and analyze data from various sources to identify trends, patterns, and opportunities.
  </li>
  <li>
   Collaborate with cross-functional teams to define key performance indicators (KPIs) and develop dashboards and reports.
  </li>
  <li>
   Provide actionable insights and recommendations to stakeholders based on data analysis, facilitating informed decision-making and driving business growth.
  </li>
  <li>
   Stay updated with the latest industry trends and advancements in analytics tools and technologies, evaluating their potential to improve data analysis capabilities.
  </li>
  <li>
   Drive data governance initiatives by establishing data quality standards, ensuring accuracy, and implementing security measures.
  </li>
  <li>
   Collaborate with Business and IT teams to optimize data infrastructure, systems, and tools for efficient data collection, storage, and analysis and to translate business requirements into actionable dashboards and insights for decision-making.
  </li>
  <li>
   Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations.
  </li>
  <li>
   Foster a culture of data-driven decision-making, promoting the use of analytics to drive continuous improvement and innovation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Candidate Profile
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in relevant discipline.
  </li>
  <li>
   Minimum of 10 years direct and relevant experience.
  </li>
  <li>
   Certifications in data management systems and analytics tools will be added as an advantage.
  </li>
 </ul>
</div>


Head of Data and Analytics

Al salem Group

<p>Position: IT Manager</p><p>Department: Information Technology</p><p>Reports to: General Manager / Executive Management</p><p>Key Responsibilities:</p><p>Manage and oversee all IT operations, systems, networks, and infrastructure.</p><p>Ensure data security, backup procedures, and protect systems from cybersecurity threats.</p><p>Plan, implement, and upgrade hardware, software, and network systems.</p><p>Lead and supervise the IT team, assigning tasks and monitoring performance.</p><p>Troubleshoot technical issues to ensure smooth daily operations for all departments.</p><p>Manage servers, cloud services, ERP systems, and user access permissions.</p><p>Coordinate with vendors, service providers, and ensure timely maintenance and support.</p><p>Develop IT policies, procedures, and disaster recovery plans.</p><p>Monitor system performance and recommend improvements to support company growth.</p><p>Required Qualifications:</p><p>Bachelor&rsquo;s degree in Information Technology, Computer Science, or related field.</p><p>Minimum 5&ndash;7 years of experience in IT management.</p><p>Strong knowledge of networks, servers, cybersecurity, and cloud technologies.</p><p>Excellent leadership, communication, and problem-solving skills.</p><p>Ability to manage multiple IT projects simultaneously.</p><p>Please send your CV to hr@alsalemgroup.com.qa</p><p>Job Type: Full-time</p>

IT Manager Applicant must be in Qatar

Ulster University Qatar

<p>The <b>Management Information System (MIS) Manager</b> is responsible for developing and maintaining CUQ&rsquo;s institutional data and systems infrastructure to enable accurate, secure, and insightful information management across the University.</p><p>The role manages the <b>implementation, configuration, and ongoing management</b> of CUQ&rsquo;s <b>integrated education system (Ellucian)</b> - comprising the <b>CRM, Student Information System (SIS), Learning Management System (LMS), and reporting engine</b> - and ensures seamless <b>integration with Canvas, Blackboard, and Microsoft Dynamics</b> (in coordination with Group IT).</p><p>Working collaboratively across functional teams, the job owner will capture and translate user requirements, optimise system configuration, map and manage data flows, and champion effective data governance and compliance to support CUQ&rsquo;s digital transformation and institutional excellence.</p><p><b>System Implementation &amp; Integration</b></p><ul><li>Lead and coordinate the implementation of CUQ&rsquo;s integrated education system (Ellucian)</li><li>Oversee integrations with Canvas, Blackboard, and Microsoft Dynamics (in collaboration with Artan IT)</li><li>Capture and document user requirements across academic and administrative departments</li><li>Configure system modules (CRM, SIS, LMS, reporting engine) to meet user and institutional needs</li><li>Develop and maintain end-to-end data flow maps ensuring interoperability between systems</li></ul><p><b>Reporting &amp; Institutional Intelligence</b></p><ul><li>Develop and maintain institutional dashboards and reports to support management decision-making, planning, and accreditation</li><li>Design and automate workflows for data collection, reporting, and analysis</li><li>Support evidence-based performance monitoring and continuous improvement.</li></ul><p><b>Training Support and Continuous Improvement</b></p><ul><li>Provide user training and support for staff across departments on Ellucian and reporting tools</li><li>Develop and maintain user manuals, system guides, and standard operating procedures</li><li>Continuously assess and enhance system functionality to align with evolving user and institutional needs</li><li>Promote a culture of data literacy and digital adoption across CUQ</li></ul><p><b>Qualifications and Experience</b></p><ul><li>Bachelor&rsquo;s degree in Data Science, Information Systems, Computer Science, or a related field</li><li>Minimum 5 years of experience in data management and educational systems administration</li><li>Proven experience with Ellucian, Blackboard, Canvas, or similar integrated education systems</li><li>Demonstrated experience in system configuration, data mapping, and process automation</li><li>Strong understanding of data governance, compliance, and information security principles</li><li>Familiarity with Microsoft Dynamics or other enterprise systems is an advantage</li><li>Proficiency in data visualization and reporting tools (e.g., Power BI)</li><li>Excellent coordination, communication, and stakeholder management skills</li></ul><p><b>Key Competencies:</b></p><ul><li>Integrated System Implementation &amp; Configuration</li><li>Data Governance &amp; Compliance</li><li>User Requirements Analysis &amp; Experience Design</li><li>System Administration &amp; Troubleshooting</li><li>Data Flow Mapping &amp; Integration Design</li><li>Dashboard and Report Development (Power BI / equivalent)</li><li>Collaboration and Cross-Functional Communication</li><li>Continuous Improvement and Change Enablement</li></ul><p>Job Type: Full-time</p>

Management Information System (MIS) Manager

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