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data governance specialist

<div>
 <ul>
 <li>
 Run stakeholder Servicesshops to identify data domains, critical data elements (CDEs), owners/stewards, and business processes.
 
 </li>
 <li>
 Build and maintain the data inventory/catalog (systems, datasets, flows, lineage) and keep ownership metadata current.
 
 </li>
 <li>
 Define and operationalize the data taxonomy (classification levels, handling rules) and ensure labels propagate across systems.
 
 </li>
 <li>
 Perform data discovery and gap assessments to locate sensitive data (e.g., PII,SPI) and reconcile scan results with the catalog.
 
 </li>
 <li>
 Translate privacy &amp; policy requirements into controls (access models, masking, retention, encryption) and document control mappings.
 
 </li>
 <li>
 Design and enforce access control models (least privilege, RBAC/ABAC, purpose-based access), including periodic access reviews.
 
 </li>
 <li>
 Establish data protection baselines for storage, transfer, and processing (e.g., encryption in transit/at rest, key hygiene, segregation).
 
 </li>
 <li>
 Configure and tune DLP/egress policies across channels (endpoint, email, web/cloud, storage) and reduce false positives.
 
 </li>
 <li>
 Implement data masking/tokenization strategies for production, analytics, and non-prod environments; manage detokenization approvals.
 
 </li>
 <li>
 Define and monitor security telemetry (auth, data access, key usage, admin events) and create detections for anomalous data activity.
 
 </li>
 <li>
 Lead/assist data-related incident response (scoping, containment, evidence handling, root cause, corrective actions, lessons learned).
 
 </li>
 <li>
 Implement retention &amp; disposal controls (schedules, holds, verification of deletion) and align backups/archives with policy.
 
 </li>
 <li>
 Assess third-party and SaaS data risks (contracts, DPAs, data flow reviews) and track remediation with vendors and owners.
 
 </li>
 <li>
 Produce dashboards and KPIs/KRIs (coverage, data classification completeness, DLP precision, access review closure, incident MTTR).
 
 </li>
 <li>
 Create and maintain documentation &amp; training (standards, playbooks, runbooks, onboarding materials) and brief stakeholders regularly.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Bachelors in computer science, Information Security, IT and equivalent hands‑on experience.
 
 </li>
 <li>
 Certifications : ISO/IEC 27701 Lead Implementer/Auditor , CISSP, CIPM and any relevant certifications
 
 </li>
 <li>
 Clear written and verbal communication
 
 </li>
 <li>
 4+ years in information security with at least 2 years focused on data security/privacy (data discovery, classification/taxonomy, DLP, masking/tokenization, retention/disposal, DPIA/PIA, RoPA).
 
 </li>
 </ul>
</div>

Data Security Specialist/Data Security Analyst (Information Security)

<div>
 The Service Management Senior Specialist is responsible for overseeing key ITIL service management functions, including incident, problem, change, and asset management. The role ensures IT service continuity, timely resolution of disruptions, compliance with service levels, and continuous improvement of IT processes. The incumbent plays a critical role in analysing trends, conducting root cause analysis (RCA), maintaining asset data integrity, and supporting change initiatives while aligning with the organization's IT governance standards
 
 
 &bull; Expertise in ITIL-based process architecture and ITSM governance.
 
 &bull; Advanced analytical and reporting skills, including KPI/SLA tracking and trend analysis.
 
 &bull; Strong communication, documentation, and presentation skills.
 
 &bull; Ability to translate service performance data into actionable insights.
 
 
 Key Responsibilities:
 
 &bull; Design, implement, and continuously improve ITSM processes and Servicesflows in alignment with organizational objectives.
 
 &bull; Own and manage Service Reporting and SLA dashboards, ensuring accuracy, transparency, and actionable performance insights.
 
 &bull; Lead ITSM Process Architecture reviews to optimize efficiency and maturity levels.
 
 &bull; Perform service analytics to identify areas for improvement and support data-driven decision-making.
 
 &bull; Collaborate with cross-functional IT teams to enhance end-toend service delivery and user satisfaction.
 
 &bull; Maintain ITSM documentation, process maps, and performance metrics for audit and governance purposes.
 
 
 
 Requirements
 
 
 &bull; Bachelor&rsquo;s degree in computer science, Information Technology, or related field.
 
 &bull; ITIL Expert or ITIL Managing Manpower certification preferred.
 
 &bull; Strong understanding of ITSM tools (such as ManageEngine, ServiceNow, or BMC).
 
 
 &bull; Minimum 8 years of experience in IT Service Management, with at least 3 years in a senior ITSM role.
 
 &bull; Proven experience in process design, improvement, and governance across Incident, Problem, Change, and Service Level Management.
 
 
 
</div>

Service Management Specialist

ALI BIN ALI

<div>
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Maintain accurate and timely employee data in HRIS for all employee lifecycle events &mdash; hires, terminations, promotions, and transfers.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Monitor and validate HR transactions across Qatar, KSA, and Kuwait to ensure data accuracy and structural alignment.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Troubleshoot system and access issues, coordinating with HRIS Specialist, IT, and vendors for resolution.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Administer and update user roles, permissions, structures, and costing setups under defined HRIS governance.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Support end-to-end lifecycle processes across HR modules such as recruitment, payroll, and performance management.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Conduct periodic audits to correct inconsistencies in employee records, leave data, and organizational structures.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Coordinate and manage performance appraisal cycles, including template creation, objective setting, and report generation.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Generate and analyze periodic HR reports and dashboards (weekly, monthly, quarterly, annual) using tools like Power BI.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Collaborate with HR functions and IT for change requests, testing, and implementation of new system enhancements.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Act as superuser and SharePoint administrator, managing access, folders, licenses, and document libraries for HR.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Deliver training and user support sessions to improve HR system understanding and utilization across teams.
 
 
 People Management &amp; Collaboration
 
 
 <ul>
 <li>
 &nbsp; &nbsp; &nbsp; &nbsp; Collaborate with cross-functional HR teams to ensure alignment of system data and HR processes across all departments and regions.
 </li>
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 &nbsp; &nbsp; &nbsp; &nbsp; Provide system-related guidance, training, and first-line support to HR coordinators and business HR teams.
 </li>
 <li>
 
 
 &nbsp; &nbsp; &nbsp; &nbsp; Partner with HR functions to ensure accurate inputs, data consistency, and policy compliance in all transactions.
 
 
 Data Analysis &amp; Reporting
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Interpret and analyze HR data to identify trends, gaps, and insights that support decision-making.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Prepare and maintain regular HR reports and dashboards (headcount, turnover, organizational charts, monthly summaries).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Generate ad hoc reports and data extracts for HR and business leaders upon request.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Monitor system usage and user activity trends to support process optimization and adoption.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Present findings through visual dashboards and summary reports using Power BI or equivalent tools.
 </li>
 </ul>
</div>

HRIS Executive

Qatar Foundation

<div>
 
 The Senior Specialist, Digital Business Analysis will be responsible to oversee capturing, analysing, and translating business needs into actionable requirements for QF&rsquo;s digital delivery initiatives ensuring that digital solutions are designed and delivered in line with user needs, enterprise architecture, and QF&rsquo;s strategic objectives.
 
 
 
 
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Engage stakeholders to capture and validate business needs, processes, and priorities.
 </li>
 <li>
 Translate requirements into detailed specifications, process maps, and user stories.
 </li>
 <li>
 Ensure business requirements are aligned with enterprise architecture and digital delivery objectives.
 </li>
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 Facilitate workshops, interviews, and walkthroughs to ensure shared understanding of needs.
 </li>
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 Support testing and validation to confirm solutions meet agreed requirements.
 </li>
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 Identify process inefficiencies and propose improvements enabled by digital tools.
 </li>
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 Develop business requirement documents, user stories, and process flows to support digital delivery projects.
 </li>
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 Act as liaison between business stakeholders, solution designers, and developers to ensure requirements are fully understood.
 </li>
 <li>
 Assist in prioritising requirements and managing scope across projects.
 </li>
 <li>
 Support the development of acceptance criteria and participate in solution testing and validation.
 </li>
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 Provide input into business cases and benefits realisation plans for digital initiatives.
 </li>
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 Contribute to lessons learned and knowledge sharing to strengthen QF&rsquo;s digital delivery practice.
 </li>
 <li>
 Ensure compliance with QF governance, security, and data management policies.
 </li>
 <li>
 Other reasonable tasks as assigned by Supervisor.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Minimum Knowledge, Skills &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Information Systems, or related discipline. Master&rsquo;s preferred. Professional qualifications in Business Analysis (e.g. CBAP, PMI-PBA) desirable.
 </li>
 <li>
 Minimum 6&ndash;8 years in business analysis, with exposure to large-scale IT or digital transformation projects.
 </li>
 <li>
 Familiarity with enterprise platforms, workflow tools, and requirements management systems.
 </li>
 <li>
 Strong process mapping, data analysis, and problem-solving abilities.
 </li>
 <li>
 Excellent interpersonal, facilitation, and documentation skills.
 </li>
 <li>
 Excellent oral and written communication skills with the ability to draft and edit a variety of written reports and communications and to articulate ideas clearly and concisely; Arabic proficiency is an advantage.
 </li>
 <li>
 Proficiency in MS Office applications.
 </li>
 </ul>
 
 
</div>

Senior Specialist, Digital Business Analysis

Confidential

<div>
 
 We are looking for the following two roles:
 
 
 
 
 
 
 1. International Agreements Specialist
 
 
 <ul>
 <li>
 Supports the
 
 development, review, and execution
 
 of international partnership agreements.
 </li>
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 Prepares, reviews, and maintains all agreement-related
 
 documentation and records
 
 .
 </li>
 <li>
 Tracks compliance requirements to ensure agreements adhere to
 
 internal policies and regulatory standards
 
 .
 </li>
 <li>
 Coordinates with internal teams such as
 
 Legal, Finance, Strategy, and Operations
 
 to align on agreement terms and obligations.
 </li>
 <li>
 Liaises with international partners to facilitate
 
 negotiations, implementation, and follow-up
 
 activities.
 </li>
 <li>
 Monitors agreement
 
 timelines, deliverables, renewal dates, and reporting obligations
 
 .
 </li>
 <li>
 Ensures proper governance, risk management, and documentation control throughout the agreement lifecycle.
 </li>
 <li>
 Supports the preparation of
 
 briefings, status updates, and reports
 
 for management.
 </li>
 </ul>
 
 
 
 
 
 2. Regional &amp; International Organizations Specialist
 
 
 <ul>
 <li>
 Supports the entity&rsquo;s engagements with
 
 regional and international organizations
 
 , forums, and multilateral groups.
 </li>
 <li>
 Coordinates and manages all associated
 
 documentation, correspondence, and briefing materials
 
 .
 </li>
 <li>
 Arranges and supports
 
 high-level meetings, conferences, delegations, and international events
 
 .
 </li>
 <li>
 Ensures adherence to required
 
 protocols, procedures, diplomatic guidelines, and engagement frameworks
 
 .
 </li>
 <li>
 Works closely with senior leadership to prepare
 
 agendas, talking points, meeting notes, and follow-up actions
 
 .
 </li>
 <li>
 Prepares periodic reports and updates on
 
 international engagements, partnership activities, and outcomes
 
 .
 </li>
 <li>
 Maintains strong relationships with external counterparts to ensure smooth communication and collaboration.
 </li>
 <li>
 Supports the execution of the organization&rsquo;s
 
 global engagement strategy
 
 and ensures proper alignment across departments.
 </li>
 </ul>
 
 
</div>

Specialist - international affairs

Protiviti Middle East Member Firm

<div>
 
 
 Overview:
 
 
 
 We are seeking a Senior Data &amp; AI Consultant with 5+ years of experience spanning data architecture, data governance, and AI/ML solution development.
 
 
 
 
 
 The ideal candidate should have broad exposure across the Data &amp; AI lifecycle - from data strategy and governance to architecture, engineering, and advanced analytics - while specializing in at least one of the following areas: (1) Data Strategy &amp; Governance, or (2) Data Management, or (3) Data Science/AI/ML Engineering. Candidate should be bilingual with full proficiency in Arabic and English.
 
 
 
 
 This role requires strong technical depth, consulting acumen, and client-facing communication skills. The consultant will work with diverse clients across industries, driving enterprise data and AI transformation programs. The role is based in Doha, with travel expected to other Middle Eastern client locations as required.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 1. Data Strategy &amp; Advisory
 
 
 <ul>
 <li>
 Develop and implement enterprise-wide data and AI strategies aligned with business goals.
 </li>
 <li>
 Assess organizational data &amp; AI maturity and define transformation roadmaps.
 </li>
 <li>
 Advise clients on data lifecycle management, and responsible AI adoption.
 </li>
 <li>
 Conduct workshops with CXOs and business leaders to align business priorities with data &amp; AI initiatives.
 </li>
 </ul>
 
 
 
 
 
 2. Data Architecture &amp; Engineering
 
 
 <ul>
 <li>
 Design and implement modern data platforms on Microsoft Azure, ensuring scalability, performance, and compliance.
 </li>
 <li>
 Develop conceptual, logical, and physical data models for operational and analytical use cases.
 </li>
 <li>
 Architect data pipelines for batch and real-time ingestion using Azure Data Factory, Synapse, Databricks, and related tools.
 </li>
 <li>
 Implement data quality, metadata management, and lineage tracking leveraging Azure Purview or equivalent governance tools.
 </li>
 <li>
 Collaborate with AI teams to enable data readiness for AI/ML workloads and ensure seamless integration across the ecosystem.
 </li>
 </ul>
 
 
 
 
 
 3. AI &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Lead AI/ML solution design and deployment, translating business problems into technical AI solutions.
 </li>
 <li>
 Build and operationalize machine learning and Generative AI use cases on Azure (e.g., Azure Machine Learning, OpenAI, Cognitive Services).
 </li>
 <li>
 Implement MLOps practices for CI/CD, model monitoring, and lifecycle management.
 </li>
 <li>
 Ensure Responsible AI practices are embedded - fairness, explainability, transparency, and ethical governance.
 </li>
 <li>
 Collaborate with data teams to develop end-to-end AI pipelines, from data sourcing to model deployment.
 </li>
 </ul>
 
 
 
 
 
 4. Consulting, Pre-Sales &amp; Thought Leadership
 
 
 <ul>
 <li>
 Lead client workshops, PoCs, and pre-sales solutioning across Data and AI engagements.
 </li>
 <li>
 Support proposal development, client demos, and design of value-driven use cases.
 </li>
 <li>
 Contribute to thought leadership through whitepapers, blogs, and conference presentations.
 </li>
 <li>
 Mentor junior consultants and foster a culture of learning and innovation.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, AI, or Information Systems.
 
 
 5+ years of experience in data &amp; AI consulting, architecture, or strategy roles.
 
 
 Experience working with Azure ecosystem and familiarity with one or more of: AWS, GCP.
 
 
 Experience across multiple industries such as Public Sector, Financial Services, Oil &amp; Gas, Government, Healthcare, and Utilities.
 
 
 
 
 
 
 Technical Expertise (Candidates should have expertise in one or more domains)
 
 
 
 
 
 
 
 A. Data Management
 
 
 <ul>
 <li>
 Azure Data Factory, Synapse Analytics, Data Lake, Delta Lake, Databricks, Event Hubs, Stream Analytics.
 </li>
 <li>
 Proficiency in SQL, Python, and Spark.
 </li>
 <li>
 Data Modeling (Conceptual, Logical, Physical), ETL/ELT, Data Quality frameworks.
 </li>
 <li>
 Familiarity with MS Fabric and open-source technologies (Airflow, Kafka, Presto).
 </li>
 </ul>
 
 
 
 
 
 B. Data Governance &amp; Strategy
 
 
 <ul>
 <li>
 Knowledge of DAMA-DMBOK, CMMI-DMM, or equivalent maturity models.
 </li>
 <li>
 Experience with Informatica Data Governance Suite of Solutions (Axon, IDQ, EDC, IDMC).
 </li>
 <li>
 Understanding of global data privacy and sovereignty laws.
 </li>
 <li>
 Ability to define data governance operating models and stewardship structures.
 </li>
 </ul>
 
 
 
 
 
 C. AI/ML Engineering
 
 
 <ul>
 <li>
 Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
 </li>
 <li>
 Hands-on experience with Generative AI (LLMs, RAG, Prompt Engineering).
 </li>
 <li>
 Strong understanding of MLOps pipelines and model lifecycle automation.
 </li>
 <li>
 Experience in at least three AI domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, or Anomaly Detection.
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 
 
 
 
 Strong client-facing communication and stakeholder management.
 
 
 Ability to translate technical insights into business outcomes.
 
 
 Experience in pre-sales engagements, proposals, and workshops.
 
 
 Leadership in mentoring teams and driving delivery excellence.
 
 
 
 
 
 
 Certifications (Preferred)
 
 
 
 Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect / Azure AI Engineer Associate.
 
 
 DAMA Certified Data Management Professional (CDMP) or equivalent.
 
 
 
 
 
 
 Location &amp; Travel
 
 
 
 Based in Doha, with travel to GCC (UAE, KSA) client locations as required.
 
</div>

Manager/ Senior Manager - Senior Data & AI Consultant - (Arabic Speaker)

KONE

<div>
 Quality Engineer ensures quality requirements for the organization. S/he identifies and drives continuous improvement projects by data analysis, inspections, and testing. Quality Specialist actively builds and spreads quality awareness within the organization by giving training and sharing best business practices. S/he supports the Quality Manager by deploying KONE&rsquo;s quality strategy, governance, and goals.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Prioritize quality performance improvement based on data analysis
 </li>
 <li>
 Use continuous improvement methodologies to investigate non-conformances and determine root cause, identify corrective actions, and drive actions to closure
 </li>
 <li>
 Create and analyse large datasets from multiple platforms and analyse trends
 </li>
 <li>
 Support Quality Manager with target setting
 </li>
 <li>
 Perform in-process or product inspections and execute measures, tests, sampling methods, and other procedures to validate that requirements are met
 </li>
 <li>
 Maintain and update quality records required by the quality procedures
 </li>
 <li>
 Shares skills and knowledge with the organisation about quality methodology and tools, and ensures they understand and develop the capability to execute the learnings with established quality procedures and standards
 </li>
 <li>
 Supports the quality manager with internal and external audits
 </li>
 <li>
 Is responsible for coordinating preventive and corrective actions of Quality Improvement teams in her/his area.
 
 
 </li>
 </ul>
 
 Are you the one?
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering
 </li>
 <li>
 Minimum 5 years of experience in a similar role
 </li>
 <li>
 Highly motivated, goal-oriented, diligent, organized self-starter with an orientation towards a high level of customer service
 </li>
 <li>
 Due to current labor regulations, this role is only open to Qatari nationals.
 
 
 </li>
 </ul>
 
 At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.
 
 
 
 Read more on
 
 
 
 www.kone.com/careers
 
 
 
</div>

Quality Engineer - Qatari National

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