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data management lead

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.
 
Job Summary: 
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.
 
Responsibilities: 
<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>
Requirements: 
<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

Starlink Qatar

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 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.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; 10+ years of progressive experience in the Data Governance domain.
 
 
 &rtrif; Proven expertise in developing and implementing enterprise data governance strategies, frameworks, and policies.
 
 
 &rtrif; Strong experience establishing data ownership, stewardship models, and facilitating governance forums.
 
 
 &rtrif; In-depth knowledge of data quality management, including defining metrics, rules, and remediation processes.
 
 
 &rtrif; Expertise in metadata management, data lineage, and implementing data cataloging solutions.
 
 
 &rtrif; Strong technical foundation and practical experience in SQL.
 
 
 &rtrif; Ability to embed governance controls for data access, retention, and classification into project lifecycles.
 
 
 &rtrif; Demonstrated stakeholder management skills with the ability to lead cross-functional data governance initiatives and build consensus.
 
 
 
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Professional certifications such as CDMP (Certified Data Management Professional), DAMA, or ISO 8000.
 
 
 &rtrif; Proficiency with data governance platforms like Microsoft Purview or Collibra.
 
 
 &rtrif; A Master&rsquo;s degree in Information Technology, Computer Science, or a related discipline.
 
 
 &rtrif; A valid SQL certification.
 
 
 &rtrif; Experience applying governance principles to large-scale, enterprise platforms.
 
</div>

Data Governance Manager

Confidental Company

We&rsquo;re looking for a strategic and commercially focused Category Head to lead product category performance across our food distribution business. You&rsquo;ll drive sales, profitability, and market share by developing data-driven strategies, optimizing assortments, and managing supplier relationships.Key Responsibilities:<ul><li>Lead category strategy across multiple food segments to maximize growth and margin.</li><li>Analyze market trends, customer insights, and competitor data to shape plans.</li><li>Identify new product and pricing opportunities to grow category performance.</li><li>Manage supplier relationships and negotiate favorable terms.</li><li>Collaborate with supply chain, marketing, sales, and finance for end-to-end execution.</li><li>Oversee assortment planning, inventory health, and replenishment accuracy.</li><li>Lead and mentor category managers and support staff.</li><li>Monitor KPIs and adjust strategies to meet business goals.</li></ul>Qualifications:<ul><li>5+ years in category management or buying within food/FMCG.</li><li>Strong leadership and negotiation skills.</li><li>Proven track record in driving category growth and profitability.</li><li>Analytical mindset with data-led decision making.</li><li>Experience across retail or wholesale channels is a plus.</li><li>Bachelor&rsquo;s degree (MBA preferred).</li></ul>Job Type: Full-time

Category Head – Food Distribution

Codvo.ai

<div><div><div>Project Manager &ndash; Digital Transformation (Data &amp; AI, Oil &amp; Gas) (Category &ndash; Project Manager)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
Company Overview:
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear, funded roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving drilling 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 Data Engineer 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. 
Job Description:
We are seeking highly skilled Project Manager to lead our digital transformation initiatives across the organization. This role is central to driving efficiency, unlocking business value, and embedding innovation by leveraging Data, AI, and modern cloud technologies. You will oversee the planning, execution, and delivery of transformation projects, ensuring alignment with business goals, regulatory requirements, and the unique operational demands of the oil &amp; gas industry. 
Key Responsibilities
Program &amp; Project Delivery
o Lead end-to-end project management for digital transformation initiatives, from scoping and business case development to execution and benefits realization.
o Establish clear project charters, structured project plans, and KPIs to track outcomes, not just outputs.
o Apply Agile project management methodologies for effective scheduling, resource planning, and milestone delivery.
o Manage cross-functional teams spanning IT, OT, data science, cloud engineering, and business stakeholders.
Digital &amp; Data Transformation
o Drive initiatives leveraging Azure (primary), with supplementary work in Google Cloud and SAP ecosystems.
o Oversee projects involving Databricks, AI/ML, advanced analytics, and data platform buildouts.
o Drive end-to-end business analysis and lead the execution of solution delivery, translating complex business needs into clear actionable requirements and overseeing the implementation to ensure realization of expected business value and solution adoption.
o Possesses strong communication and stakeholder management capabilities to effectively engage executive leadership, cross-functional teams, and external vendors driving alignment, influencing outcomes, and leading timely, high-quality decisions-making throughout the project lifecycle.
Stakeholder Engagement
o Partner with business leaders, engineers, and AI specialists to translate operational challenges into scalable digital solutions.
o Communicate complex technology initiatives in business terms for executive stakeholders.
o Manage organizational change to ensure adoption across technical and non-technical teams.
Governance &amp; Compliance
o Ensure projects align with industry regulations, HSE standards, and data security requirements.
o Establish governance frameworks for AI and data initiatives, balancing innovation with risk management.
Value Realization
o Translate transformation outputs (dashboards, models, workflows) into measurable business outcomes (efficiency gains, reduced downtime, safety improvements).
o Monitor ROI and continuously refine project portfolios based on impact. 
Required Skills &amp; Experience<ul><li>Project Management Expertise: 10+ years of experience leading large-scale digital transformation projects, with formal PM qualifications (PMP, PRINCE2, or equivalent).</li><li>Methodology: Strong background in Agile delivery, including scheduling, dependency management, and milestone tracking.</li><li>Oil &amp; Gas Industry Knowledge: Familiarity with upstream, midstream, or downstream processes, including exposure to OT data (SCADA, historians, WITSML, Petrel).</li><li>Cloud &amp; Data Platforms: Proven experience managing projects in Azure, with working knowledge of GCP and SAP integrations. Familiarity with Databricks is essential.</li><li>AI &amp; Data Literacy: Understanding AI/ML workflows, RAG, knowledge graphs, and data engineering concepts in enterprise settings.</li><li>Stakeholder Management: Demonstrated ability to engage executives, technical teams, and field operations in complex change programs.</li><li>Delivery Track Record: Strong background in managing budgets, risks, and schedules in highly regulated, safety-conscious industries.</li></ul> 
Preferred Skills<ul><li>Experience in data governance frameworks and AI ethics in industrial settings.</li><li>Familiarity with multi-cloud deployments and hybrid architectures.</li><li>Strong business acumen, with the ability to tie technology investments to commercial value.</li></ul></div></div></div>

Project Manager (Data & AI, Oil & Gas) (Doha)

Alhamal Trading & Contracting W.L.L.

We are seeking a highly experienced HR Director with a strong background in construction and real estate to lead the Human Resources function across all business units. The ideal candidate has 15&ndash;20 years of progressive experience, a university degree, and deep expertise in organization design, job grading systems, talent development, and HR transformation.&#11835;Key Duties &amp; Responsibilities1. HR Strategy &amp; Leadership<ul><li>Develop and execute the HR strategy aligned with the company&rsquo;s construction and real estate business goals.</li><li>Lead HR transformation and implement best practices in workforce planning, talent management, and performance culture.</li><li>Advise the CEO and executive team on organizational structure, manpower planning, and change management.</li></ul>2. Organization Structure &amp; Job Grading<ul><li>Design, maintain, and update job grading systems, including job evaluation, leveling, and role classification.</li><li>Develop clear organization charts for corporate, construction, and real estate divisions.</li><li>Ensure job descriptions, KPIs, and competencies are aligned with business needs.</li></ul>3. Talent Acquisition &amp; Workforce Planning<ul><li>Lead recruitment strategies for senior-level construction, engineering, and real estate positions.</li><li>Build long-term manpower plans for projects, departments, and new business units.</li><li>Manage onboarding programs tailored for technical and project-based staff.</li></ul>4. Performance Management &amp; KPIs<ul><li>Implement a robust performance management system for corporate, project, and site-level employees.</li><li>Establish KPIs for all roles, including project controls, construction, cost, procurement, sales, FM, and real estate teams.</li><li>Ensure annual performance appraisals are executed professionally.</li></ul>5. Learning, Training &amp; Development<ul><li>Develop and lead corporate training plans, technical training, leadership programs, and career development paths.</li><li>Identify capability gaps and introduce training to improve site productivity, project management, and supervisory skills.</li><li>Implement succession planning for key positions.</li></ul>6. HR Policies &amp; Compliance<ul><li>Develop and update all HR policies, procedures, and employee handbooks.</li><li>Ensure compliance with labor laws and regulatory requirements.</li><li>Lead investigations, grievance management, and disciplinary procedures.</li></ul>7. Compensation, Benefits &amp; Payroll<ul><li>Design competitive compensation structures for office, site, and project employees.</li><li>Oversee payroll accuracy, allowances, overtime frameworks, and project-based compensation.</li><li>Benchmark salaries for construction and real estate industries.</li></ul>8. Employee Relations &amp; Culture<ul><li>Build a strong corporate culture focused on performance, accountability, and teamwork.</li><li>Manage employee engagement, communication, and retention initiatives.</li><li>Maintain strong relationships between site teams, head office, and management.</li></ul>9. HR Systems &amp; Digitalization<ul><li>Lead implementation of HRMS / ERP HR modules.</li><li>Ensure employee data, timesheets, attendance, and performance are fully digitized.</li><li>Support transformation into a modern, data-driven HR department.</li></ul>&#11835;Qualifications<ul><li>Bachelor&rsquo;s degree in HR, Business Administration, or related field (Master&rsquo;s Preferred).</li><li>15&ndash;20 years HR experience, with at least 10 years in construction &amp; real estate in Qatar</li><li>Strong experience in job grading systems, job evaluation, and competency models.</li><li>Proven experience managing HR for multi-project construction or real estate companies.</li><li>Excellent leadership, communication, and people management skills.</li><li>Experience with HRMS / ERP systems (SAP, Oracle, Odoo, &amp; success factors ).</li></ul>Job Type: Full-time

HR Director (Construction & Real Estate)

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)

<div>
 
 Technical Expertise:
 
 
 <ul>
 <li>
 Strong expertise in SAN/NAS storage systems (Dell EMC, NetApp, HPE, Pure Storage, etc.).
 
 </li>
 <li>
 Deep understanding of Backup &amp; Recovery technologies (Veeam,
 
 </li>
 <li>
 Commvault, Veritas NetBackup, Azure Backup, etc.).
 
 </li>
 <li>
 Practical experience in Storage Area NetServicess (FC/iSCSI), zoning, and LUN provisioning.
 
 </li>
 <li>
 Proficient in automating backup and storage operations using scripting and orchestration tools (PowerShell, Python, Ansible).
 
 </li>
 <li>
 Experience with data lifecycle management, retention policies, and archival strategies.
 
 </li>
 <li>
 Strong knowledge of replication, snapshot management, and cross-site disaster recovery setups.
 
 </li>
 <li>
 Skilled in monitoring and performance tuning of storage systems using tools like SolarWinds, Zabbix, or vendor-native utilities.
 
 </li>
 <li>
 Knowledge of security best practices related to data encryption, key management, and compliance (GDPR, ISO 27001).
 
 </li>
 <li>
 Ability to mentor junior engineers and ensure knowledge sharing within the team.
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical and problem-solving abilities.
 
 </li>
 <li>
 Excellent communication and documentation skills.
 
 </li>
 <li>
 Ability to Services independently and lead complex multi-site backup/storage projects.
 
 </li>
 <li>
 Customer-focused with a proactive and adaptable mindset.
 
 
 </li>
 </ul>
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead the design, architecture, and deployment of secure, scalable, and resilient cloud and on-premises infrastructure solutions.
 
 </li>
 <li>
 Design, implement, and maintain enterprise-grade storage and backup infrastructure across on-premises and cloud platforms.
 
 </li>
 <li>
 Develop and enforce data protection, retention, and recovery strategies in alignment with organizational policies.
 
 </li>
 <li>
 Manage capacity planning, performance optimization, and monitoring of storage resources
 
 </li>
 <li>
 Implement backup automation, job scheduling, and reporting for SLA compliance.
 
 </li>
 <li>
 Coordinate with security and cloud teams to ensure data integrity, availability, and compliance.
 
 </li>
 <li>
 Plan and execute storage and backup system upgrades, migrations, and refresh cycles.
 
 </li>
 <li>
 Perform regular DR drills and ensure readiness for business continuity scenarios.
 
 </li>
 <li>
 Maintain up-to-date documentation for architecture, configurations, and standard operating procedures.
 
 </li>
 <li>
 Evaluate emerging storage and backup technologies to recommend enhancements and cost optimizations.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Technology, or a related field
 
 </li>
 <li>
 8&ndash;10 years of overall IT experience, with at least 4&ndash;5 years specializing in enterprise storage and backup solutions.
 
 </li>
 <li>
 Proven experience designing, implementing, and maintaining hybrid (on-premises and cloud) storage architectures.
 
 </li>
 <li>
 Hands-on experience in data protection, disaster recovery, and business continuity solutions.
 
 </li>
 <li>
 Attain one or more advanced certifications from the following domains:
 
 </li>
 </ul>
 - Microsoft Certified: Azure Administrator Associate (AZ-104) or Azure Storage certification
 
 - AWS Certified Storage Specialty or Solutions Architect &ndash;Associate
 
 - Dell EMC Proven Manpower / NetApp Certified Data Administrator / Commvault Certified Engineer
 
 - Veeam Certified Engineer (VMCE) / Veritas Certified Specialist (VCS)
 
 - ITIL Foundation
 
 
 
</div>

Storage and Backup Specialist

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