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compliance specialist  - data & ai governance Jobs in Charge Jobs In Doha

compliance specialist  - data & ai governance

compliance specialist data ai governance

Starlink Qatar

<div>
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking an experienced Compliance Specialist for Data &amp; AI Governance to join our Enterprise Compliance function. This pivotal role involves establishing and overseeing a robust governance framework for data and artificial intelligence across the organization. You will be responsible for defining and enforcing policies and controls for data management, AI ethics, and model governance. The ideal candidate will ensure all data and AI assets are managed responsibly, securely, and transparently throughout their lifecycle. This position provides strategic and operational advisory on the adoption of smart solutions, promoting ethical and compliant use of data and AI. You will collaborate with leadership to proactively identify and mitigate risks associated with evolving regulations and technologies. Ultimately, you will drive a culture of responsible data use and AI ethics, contributing to the organization's maturity in data stewardship and model governance.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; 7-10 years of progressive experience in Data Governance, AI Risk Management, or a related compliance field.
 
 
 &rtrif; Demonstrated expertise in establishing and operationalizing enterprise-wide data and AI governance frameworks.
 
 
 &rtrif; Strong proficiency in managing data lifecycle processes, including data cataloging, lineage, classification, and quality.
 
 
 &rtrif; Proven ability to implement AI governance and risk controls, covering model risk, bias mitigation, and transparency.
 
 
 &rtrif; In-depth understanding of global data protection and privacy regulations (e.g., GDPR).
 
 
 &rtrif; Experience developing compliance documentation, evidence packs, and audit trails.
 
 
 &rtrif; Ability to provide strategic advisory on data and AI risks to senior leadership and technical teams.
 
 
 &rtrif; Experience embedding governance gates and compliance checkpoints into project and solution lifecycles.
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Master&rsquo;s degree in a relevant field such as Information Technology, Cybersecurity, or Business Administration.
 
 
 &rtrif; Professional certifications such as CDMP, CIPP/E, or ISO 27001/27701 Lead Implementer.
 
 
 &rtrif; Proficiency with data governance platforms like Microsoft Purview or Collibra.
 
 
 &rtrif; Familiarity with AI model management and compliance monitoring tools.
 
 
 &rtrif; Experience in leading awareness programs to foster a culture of data compliance and AI ethics.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 🚀 𝗧𝗮𝗸𝗲 𝘁𝗵𝗲 𝗟𝗲𝗮𝗽 𝗧𝗼𝘄𝗮𝗿𝗱 𝗮𝗻 𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗙𝘂𝘁𝘂𝗿𝗲 &ndash; 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄! 🚀
</div>

Compliance Specialist  - Data & AI Governance

QatarEnergy

<div>
 
 Primary Purpose Of The Job
 
 
 
 The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large-scale data processing frameworks to drive data-driven decision-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation.
 
 
 
 Principle Accountabilities
 
 
 
 <ul>
 <li>
 Design scalable, secure, and cloud-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns.
 </li>
 <li>
 Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations.
 </li>
 <li>
 Design scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
 </li>
 <li>
 Define technical standards for model deployment, monitoring, and maintenance.
 </li>
 <li>
 Identify and evaluate industry-specific data and AI platforms, Auto-ML tools to fit business use cases and derive value.
 </li>
 <li>
 Partner with business stakeholders to understand requirements and translate them into technical solutions
 </li>
 <li>
 Establish governance frameworks for AI model lifecycle management
 </li>
 <li>
 Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions
 </li>
 <li>
 Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms.
 </li>
 <li>
 Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations.
 </li>
 <li>
 Stay updated on emerging technologies and apply cloud-native, AI/ML-driven solutions, automation tools to foster innovation in business processes.
 
 
 </li>
 </ul>
 
 Required Experience And Skills
 
 
 
 
 AI/ML Expertise
 
 
 
 <ul>
 <li>
 8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.
 </li>
 <li>
 Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.
 </li>
 <li>
 5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.
 </li>
 <li>
 Proficient in large language models and generative AI implementations.
 </li>
 <li>
 Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.
 </li>
 <li>
 Experienced with real-time ML systems and edge computing.
 
 
 </li>
 </ul>
 
 MLOps and DataOps
 
 
 
 <ul>
 <li>
 Strong knowledge of MLOps practices and tools.
 </li>
 <li>
 Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.
 </li>
 <li>
 Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).
 
 
 </li>
 </ul>
 
 Cloud and Architecture
 
 
 
 <ul>
 <li>
 Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.
 </li>
 <li>
 Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
 </li>
 <li>
 Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.
 
 
 </li>
 </ul>
 
 Governance and Compliance
 
 
 
 <ul>
 <li>
 In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.
 </li>
 <li>
 Knowledgeable in AI/ML regulatory compliance.
 
 
 </li>
 </ul>
 
 Communication and Collaboration
 
 
 
 Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
 
 
 
 Educational Qualifications
 
 
 
 <ul>
 <li>
 A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.
 </li>
 <li>
 Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable
 </li>
 </ul>
</div>

SR. DIGITAL ARCHITECT

Linnk Group

<div>
 
 
 Job Title: Digital Architect
 
 
 
 
 Location:
 
 Doha, Qatar
 
 
 
 Contract Type:
 
 Yearly Renewable (Full-Time)
 
 
 
 Department:
 
 Digital Delivery Office (DDO)
 
 
 
 Duration:
 
 12 Months (Renewable )
 
 
 
 
 
 
 
 
 
 1. Role Purpose
 
 
 
 The
 
 Digital Architect
 
 will play a key role in establishing and guiding the
 
 Digital Delivery Office (DDO)
 
 during its formation and delivery phase. This position ensures that all digital and AI-driven initiatives adhere to the enterprise&rsquo;s architecture, security, and data governance frameworks while maintaining flexibility to adopt emerging digital technologies.
 
 
 The role is both
 
 strategic and hands-on
 
 , providing technical leadership, architecture governance, and delivery oversight to ensure every DDO solution is
 
 secure, scalable, and future-ready
 
 .
 
 
 
 
 
 
 
 
 
 2. Key Responsibilities
 
 
 
 
 Architectural Design &amp; Assurance
 
 
 <ul>
 <li>
 Define and document
 
 end-to-end solution architectures
 
 for DDO programs including
 
 AI Factory, Digital Experience Platforms, Future Tech, and Data &amp; Insights
 
 .
 </li>
 <li>
 Ensure architectural alignment with
 
 enterprise, security, and cloud standards
 
 (Azure, Oracle Cloud, etc.).
 </li>
 <li>
 Act as the
 
 Technical Design Authority
 
 for assigned projects, reviewing designs to ensure scalability, performance, and compliance.
 </li>
 <li>
 Participate in the
 
 Architecture Review Board (ARB)
 
 and contribute to developing reusable patterns and best practices.
 </li>
 </ul>
 
 
 
 
 
 Integration &amp; Interoperability
 
 
 <ul>
 <li>
 Design and oversee integration approaches between DDO and enterprise platforms (e.g.
 
 Oracle Fusion, Azure Services, BI, ECM, API Gateways
 
 ).
 </li>
 <li>
 Define
 
 API and data exchange standards
 
 aligned with enterprise integration frameworks and security guidelines.
 </li>
 <li>
 Ensure
 
 cross-domain interoperability
 
 and maintain data integrity through approved governance models.
 </li>
 </ul>
 
 
 
 
 
 Future Tech Enablement
 
 
 <ul>
 <li>
 
 Enable
 
 early adoption of emerging technologies such as
 
 AI, automation, and low-code platforms
 
 within enterprise controls.
 </li>
 <li>
 
 Envisage
 
 and anticipate future technology trends to ensure architecture adaptability.
 </li>
 <li>
 
 Ensure Fit
 
 by validating that all DDO architectures are scalable, sustainable, and future-ready.
 </li>
 </ul>
 <li>
 </li>
 
 
 Delivery &amp; Implementation Support
 
 
 <ul>
 <li>
 Work closely with
 
 project managers, business analysts, and development teams
 
 to translate business requirements into technical solutions.
 </li>
 <li>
 Provide ongoing guidance through design reviews, technical clarifications, and architecture assurance checkpoints.
 </li>
 <li>
 Maintain detailed
 
 architecture documentation
 
 , solution diagrams, and design decision logs.
 </li>
 </ul>
 
 
 
 
 
 3. Deliverables
 
 
 <ul>
 <li>
 Approved
 
 solution architecture documents
 
 for all DDO initiatives.
 </li>
 <li>
 Updated
 
 DDO architecture blueprint
 
 aligned with enterprise architecture.
 </li>
 <li>
 
 Integration and data flow diagrams
 
 for major systems and services.
 </li>
 <li>
 
 Future-tech readiness assessments
 
 for strategic initiatives.
 </li>
 <li>
 
 Architecture Review Board (ARB)
 
 reports and sign-off artefacts.
 </li>
 </ul>
 
 
 
 
 
 4. Qualifications &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Engineering, or a related field
 
 (Master&rsquo;s preferred).
 </li>
 <li>
 
 10+ years
 
 of progressive experience in
 
 Solution or Enterprise Architecture
 
 roles.
 </li>
 <li>
 Proven hands-on experience with
 
 Azure and/or Oracle Cloud Infrastructure
 
 , API Management, Microservices, and System Integration.
 </li>
 <li>
 Solid knowledge of
 
 data platforms, automation tools, and AI/ML environments
 
 .
 </li>
 <li>
 Ability to balance
 
 innovation, compliance, performance, and cost
 
 within digital programs.
 </li>
 <li>
 Preferred certifications:
 
 TOGAF, Azure Solutions Architect Expert, Oracle Cloud Architect, or equivalent
 
 .
 </li>
 </ul>
 
 
 
 
 
 5. Skills &amp; Attributes
 
 
 <ul>
 <li>
 Strategic and analytical thinker with strong
 
 technical design and problem-solving
 
 abilities.
 </li>
 <li>
 Excellent
 
 communication and documentation
 
 skills for both technical and business audiences.
 </li>
 <li>
 Collaborative and adaptable, able to work in a
 
 matrixed and multi-vendor environment
 
 .
 </li>
 <li>
 Deep understanding of
 
 cybersecurity, data protection, and regulatory compliance
 
 in the Gulf region.
 </li>
 <li>
 Passion for
 
 quality, simplicity, and continuous improvement
 
 in architecture practices.
 </li>
 </ul>
 
 
</div>

Digital Architect

Codvo.ai

<div><div><div>Data Architect (Category - Architect)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
The Opportunity:
The Data Architect will be responsible for designing, governing, and evolving the organization&rsquo;s enterprise data architecture, ensuring that data platforms are scalable, secure, interoperable, and AI-ready. This role focuses on defining data models, integration patterns, governance standards, and architecture blueprints that enable analytics, AI, and digital products at scale.
The architect will work closely with data engineers, solution architects, cloud teams, business stakeholders, and cybersecurity teams to ensure data architecture aligns with business priorities and regulatory requirements. 
Job Description:
Key Responsibilities: 
Enterprise Data Architecture &amp; Design:<ul><li>Define and maintain the enterprise data architecture blueprint, including data lakes, warehouses, streaming platforms, and analytics layers.</li><li>Design logical, physical, and conceptual data models to support operational, analytical, and AI use cases.</li><li>Ensure architecture supports scalability, performance, and high availability.</li></ul> 
Cloud Data Platforms &amp; Integration:<ul><li>Architect cloud-native data platforms using Azure (ADF, Synapse, Databricks, Fabric) and/or GCP equivalents.</li><li>Design secure hybrid architectures integrating on-premises systems with cloud data platforms.</li></ul> 
 Data Governance, Quality &amp; Security:<ul><li>Define and enforce data governance frameworks, including metadata management, data lineage, data ownership, and stewardship models.</li><li>Establish data quality standards, validation rules, and monitoring mechanisms.</li><li>Ensure compliance with ISO 27001, NIA Qatar, data privacy, and internal cybersecurity policies.</li><li>Define data security architecture including encryption, access control, and role-based data access.</li></ul> 
 Analytics, AI &amp; Advanced Use Cases:<ul><li>Design data architectures that support advanced analytics, AI/ML, and digital twin initiatives.</li><li>Collaborate with data scientists and analysts to optimize data models for analytics and AI consumption.</li></ul> 
 Architecture Governance &amp; Leadership:<ul><li>Establish data architecture standards, reference architectures, and best practices.</li><li>Review solution designs to ensure alignment with enterprise data architecture principles.</li></ul> 
Required Skills and Qualifications:<ul><li> 
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, Information Systems, or related field.</li><li>10+ years of experience in data architecture, data engineering, or enterprise analytics roles.</li><li>Strong experience designing enterprise-scale data platforms in cloud and hybrid environments.</li><li>Expertise in data modelling (conceptual, logical, physical) and data integration patterns.</li><li>Deep understanding of data lakes, data warehouses, Lakehouse architectures, and real-time streaming platforms.</li><li>Hands-on experience with cloud data services (Azure preferred).</li><li>Strong knowledge of SQL, data transformation frameworks, and metadata management.</li><li>Familiarity with DevOps and DataOps practices.</li><li>Strong communication skills with the ability to engage both technical and business stakeholders.</li></ul> 
Technical Proficiencies:<ul><li>Expert-level proficiency in SQL and Python for data manipulation and pipeline development.</li><li>Big Data Technologies: Hands-on experience with distributed computing frameworks like Apache Spark (PySpark). Experience with streaming technologies like Kafka is a plus.</li><li>Cloud Platforms: Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse).</li><li>Data Warehousing/Lakehouse: Proven experience with modern data platforms Databricks Delta Lake.</li><li>AI &amp; ML Knowledge: Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models.</li><li>Orchestration: Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory.</li><li>Databases: Strong understanding of both relational (e.g., PostgreSQL, SQL Server) and NoSQL databases. Experience with graph databases (e.g., Neo4j) and vector databases is highly desirable.</li><li>Version Control: Proficiency with Git and CI/CD best practices.</li></ul> 
Preferred Qualifications:<ul><li>Certifications such as Azure Data Engineer Expert, Azure Solutions Architect, or equivalent.</li><li>Hands-on experience with the OSDU&trade; Data Platform.</li><li>Experience in Oil &amp; Gas, energy, or industrial data environments.</li><li>Understanding of cybersecurity considerations for OT environments and data segregation.</li><li>Experience integrating data from ERP systems like SAP.</li><li>Experience working within AI-first or analytics-driven transformation programs.</li><li>Advanced SQL skills, including query optimization and performance tuning.</li><li>Knowledge of containerization technologies (Docker, Kubernetes).</li><li>Experience of constructing and maintaining enterprise knowledge graphs.</li></ul></div></div></div>

Data Architect (Category - Architect) (Doha)

North Oil Company Qatar

<div>
 Job description:
 
 
 
 
 &nbsp;
 
 
 SITUATION IN ORGANIZATION
 
 
 
 &nbsp;
 
 
 N+1: VP, Digital Business Solutions
 
 
 N+2: Head, Data Management
 
 
 N+3: Lead, Data Governance
 
 
 &nbsp;
 
 
 
 ACCOUNTABILITIES
 
 
 
 &nbsp;
 
 
 
 Purpose of the Role:
 
 
 
 The Data Governance Analyst plays a crucial role in supporting the implementation and maintenance of robust data governance practices across NOC&rsquo;s business entities and functions. By collaborating closely with business and technical stakeholders, the analyst facilitates adherence to enterprise data governance policies, standards, and frameworks. Contribute to the development and implementation of data catalogs, data quality rules, and data lineages by leveraging leading data governance tools, based on business requirements. This support empowers users to utilize discoverable, organized and trusted data for operations, projects and digital use cases.
 
 
 &nbsp;
 
 
 
 Key Accountabilities:
 
 
 
 
 &nbsp;
 
 
 <ul>
 <li>
 Support in the development and compliance of policies, frameworks, processes, and standards to enhance Data Governance in each Business Entity.
 </li>
 <li>
 Collaborate with business and technical stakeholders to facilitate data discovery, inputs gathering, and&nbsp;defining data requirements, ensuring compliance with data governance policies, processes and standards.
 </li>
 <li>
 Work with Data Governance Tools such as Informatica and Microsoft Purview to implement data&nbsp;governance activities in support of business operations, projects and use cases.
 </li>
 <li>
 Proactively drive personal learning and continuous improvement in data governance topics and technologies.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 JOB DIMENSIONS
 
 
 
 &nbsp;
 
 <ul>
 <li>
 Data governance on around 120 data domains and 600 data families spread across 17 departments.
 </li>
 <li>
 Data management framework and roadmap, as well as data governance policies, processes, standards,&nbsp;initiatives and tools.
 </li>
 <li>
 Data governance for critical/priority data sources, Key Data Elements (KDEs), digital use cases, data platforms and data-related projects and initiatives.
 </li>
 <li>
 Encompasses all types of data; including structured, Semi Structured and unstructured data, as well as&nbsp;master, transactional and reference data.
 </li>
 <li>
 Frequent engagement and close collaboration with DBS teams, data owners, stewards and business user, project/use case teams, and vendors.
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 
 ACTIVITIES
 
 
 
 &nbsp;
 
 <ol>
 <li>
 
 Support in the development and compliance of policies, frameworks, processes, and standards to enhance Data Governance in each Business Entity:
 
 </li>
 </ol>
 <ul>
 <li>
 Assist in updating and maintaining enterprise data governance policies, processes, standards, and guidelines.
 </li>
 <li>
 Help implement data governance frameworks aligned with upstream oil and gas industry standards across business entities (i.e. DAMA, PPDM).
 </li>
 <li>
 Support in executing data governance change management activities, including:
 </li>
 <li>
 Communicating and raising awareness on data governance practices across the company.
 </li>
 <li>
 Improving data governance adoption through the development of workshop and training materials.
 </li>
 </ul>
 
 2-
 
 Collaborate with business and technical stakeholders to facilitate data discovery, inputs gathering, and defining data requirements, ensuring compliance with data governance policies, processes and standards :
 
 
 <ul>
 <li>
 
 Collaborate and support the Data Governance Team, data owners, data stewards, business users, and digital/project teams to:
 
 </li>
 <li>
 Embed data governance practices into their operations, projects and digital use cases.
 </li>
 <li>
 Identify their data requirements and obtain all business/technical inputs for implementation, while ensuring alignment to enterprise data governance practices and standards.
 </li>
 <li>
 Define data quality rules and translate them to technical requirements for implementation.
 </li>
 <li>
 Develop data catalogs pertaining to their data families, data source, projects and use cases.
 </li>
 <li>
 Liaison between business stakeholders and technical application/data management teams to support them with:
 </li>
 <li>
 Understanding and interpreting their business and technical issues, needs and requirements.
 </li>
 <li>
 Mapping their data requirements to the appropriate data domains and data families and accordingly&nbsp;determine the data owners, data stewards and data classifications.
 </li>
 <li>
 Facilitating data access and usage approvals for projects/use cases based on their data requirements.
 </li>
 <li>
 Support data certification processes by ensuring the adequate validation of any migrated data against source-to-target mapping specifications during projects and use cases as per data governance standards
 </li>
 </ul>
 
 &nbsp;
 
 
 3-
 
 Work with Data Governance Tools such as Informatica (i.e. Axon, EDC, IDQ, CDG, CDQ) and Microsoft
 
 
 
 
 Purview to implement data governance activities in support of business operations, projects and use cases:
 
 
 <ul>
 <li>
 Build and maintain enterprise data catalogs, including data hierarchies, business glossaries, data roles (data owners and stewards) and other business and technical metadata across all key/priority data sources.
 </li>
 <li>
 Support in the creation of end-to-end data lineage representing how data flows and transforms between systems.
 </li>
 <li>
 Perform data profiling to identify data insights, statistics and patterns in data.
 </li>
 <li>
 Implement and configure business-defined low-complexity data quality rules to measure, assess and&nbsp;continuously monitor data quality across Key Data Elements (KDEs).
 </li>
 </ul>
 
 
 4-Proactively drive personal learning and continuous improvement in data governance topics and technologies:
 
 
 <ul>
 <li>
 Stay abreast on emerging technologies and trends in upstream oil and gas data governance and data management (e.g. OSDU, CDF, SAP Data Intelligence, AI, etc.).
 </li>
 <li>
 Actively engage in trainings to enhance knowledge and expertise in Data Governance Tools (e.g.Informatica and Microsoft Purview), and data management technologies. As well as participate in professional development programs and skill enhancement trainings to support business stakeholders.
 </li>
 </ul>
 
 &nbsp;
 
 
 &nbsp;
 
 
 
 CONTEXT AND ENVIRONMENT
 
 
 
 &nbsp;
 
 
 Al Shaheen Oil Field (ALS) produces 300,000 bopd from several complex reservoirs through more than 400
 
 
 wells and 38 platforms.
 
 
 &nbsp;
 
 
 &nbsp;
 
 
 &nbsp;
 
 
 
 QUALIFICATIONS &amp; EXPERIENCE REQUIRED
 
 
 
 &nbsp;
 
 <ul>
 <li>
 Bachelor&rsquo;s degree from an accredited university in computer science, data science, information systems, or an engineering/business related equivalent.
 </li>
 <li>
 6 years of experience in IT related roles, with 2+ years of experience in data governance or data management, preferably in upstream oil and gas operations.
 </li>
 <li>
 Strong understanding of upstream oil &amp; gas operations and data governance concepts (i.e. metadata management, data quality, etc.).
 </li>
 <li>
 Any experience working with data governance tools (Informatica, Microsoft Purview, Collibra) is a bonus.
 </li>
 <li>
 Experience working on data-related projects (e.g. data governance, data analysis, master data management, data architecture, data migration, etc.).
 </li>
 <li>
 Solid understanding on data modelling, applications architecture and information security principles.
 </li>
 <li>
 Intermediate proficiency in database management systems (e.g. SQL Server, Oracle, SAP ECC, SAP HANA).
 </li>
 <li>
 Familiarity with data integration tools, ETL processes, and data warehousing solutions.
 </li>
 <li>
 Experience in project management and stakeholder management.
 </li>
 <li>
 Fluent in English both spoken and written.
 </li>
 </ul>
 
 &nbsp;
 
</div>

Data Governance Analyst

VAM SYSTEMS

<div>Job Description 
We are currently looking for Project Manager- Data &amp; Analytics for our Qatar operations with the following Skill set and terms &amp; conditions.
Skills and Experience:
Key Responsibilities:<ul><li>
End-to-end ownership of project delivery, including planning, execution, and closure.</li><li>
Manage and engage multiple stakeholders across business units, IT teams, and external partners.</li><li>
Drive project governance through Agile methodologies, including sprint planning, backlog management, and progress tracking using JIRA.</li><li>
Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and decision-making.</li><li>
Oversee vendor coordination and ensure compliance with timelines, budgets, and quality standards.</li></ul>
Required Skills and Experience:<ul><li>
Minimum 12+ years of experience in managing large-scale Data and AI projects, preferably within banking or financial services.</li><li>
Strong technical understanding of data platforms, analytics frameworks, and AI-driven solutions.</li><li>
Proven ability to manage complex stakeholder environments and deliver results under tight deadlines.</li><li>
Expertise in Agile project management, JIRA, and collaborative tools.</li><li>
Excellent communication and leadership skills to drive cross-functional alignment.</li><li>
GCC or Qatar banking experience is highly desirable.</li></ul>
Joining time frame: 2 weeks (maximum 1 month) 
Additional Information 
Terms and conditions:
Joining time frame: maximum 4 weeks</div>

Project Manager- Data & Analytics - Banking

Qatar National Bank

<div>Job Purpose Summary: 
The incumbent will support the Data Analytics and Technology team, within the Professional Practices department, providing independent guidance on the audit function's technology, data analytics and AI strategy. The role contributes to the strategic implementation and integration of advanced data analytics, AI tools, and continuous auditing techniques across the audit function to enhance efficiency and real-time risk monitoring. This role requires full compliance with the GIAD Group Audit Manual, IIA standards, and all relevant local regulations and industry audit standards. The incumbent will contribute to strengthening the organization's audit quality and efficiency and adoption of technology.
Essential Duties &amp; Responsibilities by Dimensions: 
A. Shareholder &amp; Financial:<ul><li>Contribute to the development and execution of the risk-based annual audit plan that aligns with the Group Internal Audit strategy and helps safeguard critical assets and systems that underpin the organization's financial operations and shareholder value.</li><li>Assist in identifying significant risks that could lead to financial loss, operational disruption, or reputational damage, providing actionable recommendations to mitigate these risks.</li><li>Assess the efficiency and effectiveness of audit-related investments and technology-related processes.</li><li>Implements KPIs and best practices for Senior Associate, Data Analytics and Technology</li><li>Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank.</li><li>Act within the limits of the powers delegated to the incumbent.</li><li>Demonstrate clear understanding of the important factors behind the bank's financial &amp; non-financial performance.</li></ul>
B. Customer (Internal &amp; External):<ul><li>Assist in building and maintaining strong, independent, and collaborative relationships with all internal audit teams and other relevant stakeholders across the Group.</li><li>Communicate data analytics and AI strategies to the VP, and other senior stakeholders as directed.</li><li>Assist (internal) customers in all their queries on the audit processes and seek a solution to their requests.</li><li>Coordinate effectively with external auditors and regulatory bodies on relevant inquiries.</li><li>Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time.</li><li>Build and maintain strong/effective relationships with related departments/units to achieve the Group's objectives.</li><li>Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.</li></ul>
C. Internal (Processes, Products, Regulatory):<ul><li>Execute analytics by extracting, cleansing and analysing data for specific requests.
</li><li>Conduct data quality and integrity checks and validation to ensure accuracy and reliability of analysis.
</li><li>Suggest improvements to existing reports and data processes to enhance efficiency, Pilot new features and support implementation rollout under management's guidance.</li><li>Support the design and development of dashboards, reporting tools and analytics solutions to provide actionable insights for audit teams and senior management. ; Support the updating and maintenance of existing dashboards.</li><li>Recommend opportunities for integration of data analytics and AI into the audit practice to enhance risk identification, efficiency, and depth of analysis.</li><li>Manage administrative requests relating to audit tools, platforms and technologies and ensure appropriate controls, security and data governance measures are applies to all audit technologies.</li><li>All activities must be conducted in full compliance with the GIAD Group Audit Manual, the IIA's International Professional Practices Framework (IPPF), and relevant country and industry standards.</li><li>Assess the adequacy and effectiveness of the audit technologies and report any identified inefficiencies.</li><li>Ensure the consistent application of data analytics, tools, and best practices across all audit engagements.</li></ul>
D. Learning &amp; Knowledge:<ul><li>Support the VP in fostering a data driven culture of innovation.</li><li>Contribute to setting clear performance objectives, conduct regular appraisals, and provide constructive feedback to support the Professional Practices Management team in staying at the forefront of audit best practices.</li><li>Stay abreast of global audit trends, evolving professional standards, and new technologies to proactively identify emerging risks and adapt audit strategies.</li><li>This includes actively fostering innovation and practical skills in data analytics and continuous auditing techniques within the audit division.</li><li>Proactively identify areas for professional development of self and undertake development activities.</li><li>Seek out opportunities to remain current with all developments in professional field.</li></ul>
E. Legal, Regulatory, and Risk Framework Responsibilities:<ul><li>Ensure compliance with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Policies and Procedures, banking laws and regulations and industry standard setting bodies (IIA, ISACA).</li><li>Understand and effectively perform your role under the Three Lines of Defence principle to identify measure, monitor, manage and report risks.</li><li>Comply with all applicable legal, regulatory and internal compliance requirements including, but not limited to, Group Compliance Policies and Procedures (AML &amp; CTF, Sanctions Policy, Data Protection Policy, Fraud Control Policy, Whistle Blowing Policy, Conflict of Interest and Insider Dealing Policy).</li><li>Ensure systematic good outcomes for clients in accordance with Conduct Risk policy.</li><li>Support the framework of RCSA, KRI, Incident reporting and remediation, as appropriate, in accordance with the Operational Risk Management requirements.</li><li>Maintain appropriate knowledge to ensure full qualification to undertake the role.</li><li>Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence.</li><li>Attend mandatory (internal and external) seminars as instructed by the Bank.</li></ul>
F. Other:<ul><li>Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information.</li><li>Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and Compliance functions, and relevant Regulators.</li><li>Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position.</li><li>All other ad hoc duties/activities related to QNB that management might request from time to time.</li></ul>
Education/Experience Requirements:<ul><li> 
University graduate preferably with a Major in Business Administration, Information Technology, Computer Science, or a related field. Master's is preferred.</li><li>At least 2 years of progressive experience in internal audit, compliance, or a related field, with a focus on data analytics and AI, preferably within a highly rated international bank.</li><li>Certifications: Certified Internal Auditor (CIA) and CISA are highly desirable. Additional certifications in data science, analytics, or AI are preferred.</li><li>Deep understanding of audit methodologies, data analytics practices, and professional audit standards; proven expertise in implementing data analytics and continuous auditing techniques; strong knowledge of internal controls and governance frameworks; proficiency in business intelligence and data analytics tools (e.g., ACL, Tableau, Power BI) and AI concepts.</li><li>Soft Skills: Exceptional analytical, critical thinking, and problem-solving abilities with a strong aptitude for process improvement; superior verbal and written communication skills, with the ability to translate technical insight into actionable recommendations; high level of integrity, objectivity, and professional skepticism; excellent interpersonal and influencing skills, with the ability to effectively challenge business and audit leaders; demonstrated ability to work independently and collaboratively;
</li><li>Excellent oral and written communication skills (including report writing) in English and Arabic (preferred).</li><li>Good interpersonal and presentation skills.</li><li>Understanding of the relevant laws, regulations, and practices.
</li><li>Ability to make decisions and follow through with initiatives.
</li><li>Personal integrity and self-management.</li><li>Planning, organising, and analytical ability.</li><li>Results oriented.</li><li>Strong analytical skills and the ability to communicate both verbally and in writing with all levels of management.</li></ul></div>

Senior Associate - Data Analytics and Technology Audit ( Qatarization)

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