operations manager

document controller

contracts manager

finance manager

planning manager

data manager

Starlink Qatar

<div>
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  📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 </p>
 <p>
  We are seeking a highly experienced Data Governance Manager to establish and implement our enterprise-wide data governance strategy and framework. In this pivotal role, you will be responsible for defining and enforcing the policies, standards, and practices that ensure data is managed as a strategic asset across its lifecycle. You will lead the development of data stewardship models, metadata management, and data quality initiatives to support reliable and ethical data use. Working closely with enterprise architecture, data engineering, and compliance teams, you will embed governance principles throughout all data processes. Your leadership will be crucial in fostering a culture of responsible data use and accountability. The ideal candidate will drive a unified approach to data management, supporting value-driven analytics and reporting. This position requires a strategic thinker with deep expertise in governance integration and a passion for maintaining data quality, security, and compliance.
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  <br/>
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  🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 </p>
 <p>
  &rtrif; 10+ years of progressive experience in the Data Governance domain.
 </p>
 <p>
  &rtrif; Proven expertise in developing and implementing enterprise data governance strategies, frameworks, and policies.
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  &rtrif; Strong experience establishing data ownership, stewardship models, and facilitating governance forums.
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  &rtrif; In-depth knowledge of data quality management, including defining metrics, rules, and remediation processes.
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  &rtrif; Expertise in metadata management, data lineage, and implementing data cataloging solutions.
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  &rtrif; Strong technical foundation and practical experience in SQL.
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  &rtrif; Ability to embed governance controls for data access, retention, and classification into project lifecycles.
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  &rtrif; Demonstrated stakeholder management skills with the ability to lead cross-functional data governance initiatives and build consensus.
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  <br/>
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  ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
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  &rtrif; Professional certifications such as CDMP (Certified Data Management Professional), DAMA, or ISO 8000.
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  &rtrif; Proficiency with data governance platforms like Microsoft Purview or Collibra.
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  &rtrif; A Master&rsquo;s degree in Information Technology, Computer Science, or a related discipline.
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  &rtrif; A valid SQL certification.
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  &rtrif; Experience applying governance principles to large-scale, enterprise platforms.
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</div>


Data Governance 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

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

MyPetroCareer.com

<div>
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 <strong>
  Company Overview
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  <br/>
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 We are seeking an experienced Directional Driller to join our client on a 6-month contract with the potential for extension. The successful candidate will provide technical expertise in directional drilling operations, with a strong focus on Compass software, trajectory planning, survey data management, and anti-collision analysis.
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  Key Responsibilities
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  <br/>
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  <li>
   Trajectory / Well Path Planning: Design well paths (vertical, deviated, horizontal) to meet operational objectives while optimising drilling performance.
  </li>
  <li>
   Survey Data Management: Track and analyse actual well paths versus planned trajectories to ensure alignment with project goals.
  </li>
  <li>
   Anti-collision Analysis: Assess and mitigate the risk of wellbore interference, ensuring minimum separation between wells.
  </li>
  <li>
   Real-time / Look-ahead Planning: Develop look-ahead plans using real-time survey data to adjust the trajectory during drilling operations.
  </li>
  <li>
   Error Model Advisory: Provide guidance on the application of different error models for historical drilling tools to enhance accuracy and reliability.
  </li>
  <li>
   Collaborate with drilling engineers and field personnel to optimise drilling performance and ensure compliance with safety and operational standards.
   <br/>
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  </li>
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 <strong>
  Qualifications
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  <li>
   Degree in Petroleum Engineering, Drilling Engineering, or a related field.
  </li>
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   Expert-level proficiency in Compass software and directional drilling operations.
  </li>
  <li>
   15+ years of overall directional drilling experience, with 5&ndash;10 years of survey experience.
  </li>
  <li>
   Proven expertise in trajectory planning, survey data management, anti-collision analysis, and real-time trajectory adjustments.
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   Strong understanding of error models for historical drilling tools and their practical application.
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   Excellent analytical, problem-solving, and communication skills.
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   Ability to work on-site at the service provider office and coordinate with multidisciplinary teams.
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 If you are a highly skilled Directional Driller with a proven track record in Compass software and advanced drilling techniques, we encourage you to apply for this exciting opportunity. Join us in delivering exceptional results and driving innovation in the field of directional drilling.
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Directional Driller

People Dynamics

<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Information Technology, Computer Science, Business Administration, or a related field.</li><li>8-10 years of experience in data management, migration, and cleansing.</li><li>Proven track record in large-scale ERP implementations (preferably Oracle Fusion) within asset-intensive or airport environments is desirable.</li><li>Strong technical expertise in data integration, ETL, database management, and data security.</li><li>Demonstrated experience in stakeholder management, communication, and project coordination in complex, cross-functional settings.</li><li>Professional certifications in data management, project management, or ERP systems (preferred).</li></ul><p>Job Types: Full-time, Permanent</p>

Lead- Data Management (Airport ERP Transformation)

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Data Management Lead for one of our partners, a global leader in the IT Services and IT Consulting.
<br><br>
<b>Job Summary:</b><br>
A Data Management Lead role is a cornerstone to the success of the data management team; he is the person with the most seniority in the team and he works closely with all team members. He helps the team to understand and execute their job effectively. He builds the team, mentors and guides them to the successful delivery of the assigned tasks.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Lead the technical design and delivery of enterprise-grade data integration and DWH solutions.</li>
<li>Serve as the solution architect on data platform initiatives, ensuring scalable and maintainable architecture using Microsoft technologies.</li>
<li>Drive the data modeling process for both transactional and analytical systems, including star/snowflake schemas, normalization, and performance optimization.</li>
<li>Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and translate them into robust technical solutions.</li>
<li>Oversee and mentor a team of developers and data engineers throughout the SDLC.</li>
<li>Conduct code reviews, enforce data governance policies, and ensure best practices are followed.</li>
<li>Present technical solutions and project updates to executive stakeholders, communicating clearly across technical and non-technical audiences.</li>
<li>Stay current with advancements in cloud data platforms and recommend continuous improvement opportunities.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Bachelors or Masters degree in Computer Science, Information Systems, or a related field.</li>
<li>6+ years of experience in data integration and data management roles.</li>
<li>Expertise in data warehouse design and dimensional modeling.</li>
<li>Strong understanding of ETL/ELT frameworks, data pipelines, and data quality principles.</li>
<li>Solid understanding of solution architecture in cloud and hybrid environments.</li>
<li>Excellent presentation and communication skills able to deliver impactful presentations and clearly articulate complex concepts.</li>
<li>Must be an Arabic speaker.</li>
</ul>


Data Management Lead

Explore 1399+ Data manager in Doha this December. Find roles across top companies and apply now to boost your career.