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Primary Purpose Of The Job<br><br>The primary purpose of this role is to analyze well integrity–related data across onshore and offshore fields and to serve as the end‑user focal point for the implementation and ongoing maintenance of the Well Integrity Management System (WIMS).<br><br>Required Experience And Skills<br><br>Minimum of 7 years of work experience in data analyst activities. Must have experience in designing and creating relational databases (example: SQL Server, MS Access..). Some exposure to Petroleum or Reservoir Engineer activities or Well Integrity investigations is a plus.<br><br>Educational Qualifications<br><br>Bachelor’s degree (BSc) in Computer Science, Information Technology, or a related discipline, supplemented by industry-recognized courses in Engineering and Geoscience data management. Degrees in Petroleum Engineering, Mechanical Engineering, Software Engineering, Computer Science, or Information Systems will also be considered, provided they are supported by relevant industry training in computer applications.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions. Key Responsibilities: Develop predictive and statistical models Identify trends, anomalies, and optimization opportunities Translate data insights into actionable strategies Support deployment of analytics solutions Requirements: Master s or PhD in Data Science, AI, or related field 10 13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Master s or PhD in Data Science, AI, or related field 10 13+ years in advanced analytics Strong programming (Python, AI/ML frameworks)</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.<br>ai/) and drive specialized data scraping workflows for real-world use cases.<br> Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications.<br> In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with innovative technology projects.<br> Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.<br> About the Role This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Educational qualifications At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Academic and/or Professional Experience Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Technical Skills (Essential) Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Additional requirements Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

The role owning end-to-end data center presales and solution architecture, spanning physical infrastructure (power, cooling, containment, structured cabling), compute, storage, virtualization, and data center networking. Acts as the senior technical authority across Huawei, Supermicro, Legrand, Rittal, FABNET, and other data center vendor lines, translating complex customer requirements into validated, bankable DC designs. Leads large and strategic engagements end-to-end, engages CxOs and facilities/infrastructure stakeholders directly, and mentors junior presales engineers across the distribution team.<br>Accountability & Responsibilities of Role: <br>Presales & Solutioning Own end-to-end data center solution architecture — compute, storage, virtualization, DC networking, physical infrastructure (power, cooling, containment, racks), and structured cabling — integrating Huawei, Supermicro, Legrand, Rittal, and FABNET product lines into unified DC solutions. Lead complex, high-value RFP/RFI responses, DC design workshops, and solution blueprints for greenfield and brownfield projects (Tier III/IV facilities, edge DC, colocation, on-prem to hybrid cloud). Architect designs covering power redundancy (N, N+1, 2N), precision cooling, hot/cold aisle containment, structured cabling, rack/cabinet layout, and DCIM integration. Develop detailed BoQs/BoMs, SoWs, capacity and growth models, and TCO/ROI analyses for large-scale data center investments. Perform in-depth competitive positioning against Cisco, Dell, HPE, Vertiv, Schneider Electric, APC, and other DC vendors, and articulate differentiated value. Validate designs for compliance with international standards (Uptime Institute Tier certification, TIA-942, ASHRAE cooling guidelines).<br>Customer Engagement & Executive Presales Serve as the senior technical face of Starlink to CxOs, IT directors, and facilities/infrastructure heads during presales engagements. Lead technical due diligence, site surveys, PoCs, and pilot deployments for data center infrastructure and networking components. Act as a trusted advisor on data center modernization, consolidation, edge computing, disaster recovery, and hybrid/multi-cloud strategy. Resolve escalated technical objections and provide senior-level backup during critical sales cycles and vendor evaluations.<br>Product Knowledge & Vendor Enablement Maintain expert-level knowledge across DC networking, compute, storage and cloud; Legrand and Rittal data center physical infrastructure (power distribution, UPS, precision cooling, containment, racks/cabinets); structured cabling and fiber solutions; and compute/server platforms. Track emerging DC trends: liquid cooling, AI/HPC-ready infrastructure, modular/prefabricated data centers, DCIM/software-defined infrastructure, and energy-efficiency (PUE) standards. Deliver enablement sessions, technical certifications, and knowledge transfer to junior presales engineers and channel partners.<br>Leadership, Collaboration & Reporting Mentor and provide technical guidance to junior presales and solution engineers within the ICT distribution team. Partner with vendor principals (Huawei, Supermicro, Legrand, Rittal, FABNET, Acer) on joint business planning, technical roadmaps, and strategic account reviews. Build and maintain strong relationships with systems integrators, consultants, and end customers across Qatar's data center and enterprise market. Provide senior-level input into pipeline reviews, forecasting, and presales KPI reporting to management. Represent Starlink at industry events, vendor summits, and technical certification programs.<br>Financial Management:Contribute to development and management of the data center portfolio's presales investment budget, ensuring effective allocation of resources across proposals, PoCs, and pilot activities. Monitor spend and return on investment for RFP responses, technical workshops, and PoC engagements, ensuring solutions remain commercially viable. Identify cost-saving opportunities in solution design and BoQ/BoM development without compromising technical quality or compliance.<br>Team Leadership:Provide technical leadership and mentorship to junior presales and solution engineers across the ICT distribution team. Support the performance development of junior technical staff through structured coaching, knowledge transfer, and certification enablement. Foster a collaborative, high-performing presales culture centred on technical excellence and continuous learning. Contribute to succession planning by building deep bench strength in data center solution architecture skills across the team.<br>Position Requirements:<br>Educational Background:Bachelor's degree in Computer Science, Electrical/Electronics Engineering, or a related field; a relevant Master's or MBA is an advantage. Relevant certifications preferred: HCIE/HCIP (Data Center), Uptime Institute ATD/ADC, VMware VCP, or equivalent DC infrastructure certifications (Legrand, Rittal).<br>Work Experience:15 to 20+ years of experience in data center presales, solution architecture, or infrastructure consulting, including at least 8-10 years in a senior/lead technical capacity. Proven expertise in end-to-end data center design: power distribution, precision cooling, containment, structured cabling, rack/floor layout, and DCIM. Strong technical grounding in DC networking, compute, storage, and virtualization (Huawei preferred; exposure to Dell, HPE, Cisco, VMware, or equivalent is an advantage). Demonstrated track record leading large, complex DC RFPs/RFIs, multi-vendor solution designs, and executive-level technical proposals. Excellent executive presentation, stakeholder management, and negotiation skills. Strong commercial acumen – BOQ/BOM development, pricing strategy, and TCO/ROI modelling. Prior experience mentoring or leading junior presales/technical staff is preferred. Experience working with systems integrators, MEP/facilities contractors, or consultants on data center build/fit-out projects. Exposure to edge computing, hyper-converged infrastructure (HCI), AI/HPC-ready data center design, and sustainability/green DC initiatives (PUE optimisation).<br>Key Competencies:Shaping Strategy: Ability to make sense of complex data, trends and dynamics on continually evolving basis, understand and anticipate the potential impact these may have, and use them to shape the direction of the business Driving Change: Recognizing and anticipating the need for change. Demonstrating openness, flexibility and support for change, aligning people to move in new and challenging directions. Dealing effectively with uncertainty and adapting to new situations and ways of working while staying focused, organized and positive. Leading Teams: Demonstrating the drive required to succeed in a demanding work environment by taking ownership, aligning, building, enabling and inspiring effective teams, not limited to own team. Creating momentum and gaining commitment towards a common goal. Delivering Results & Fostering Ownership: Drive for improving business results and attaining higher levels of performance. Building Customer Value: Gaining insights into internal and/or external customers’ experience. Anticipating their needs and demonstrating concern for satisfying them. Building productive customer relationships. Ensuring clear communication to customers on expectations and beyond. Networking & Influencing Collaboratively: Developing rapport with a diverse range of people. Building and leveraging networks horizontally and vertically. Proactively nfluencing and persuading others to gain support for initiatives. Maintaining collaborative stakeholder relationships. Technical Expertise: Maintains deep, current expertise across data center compute, storage, networking, and physical infrastructure disciplines, and applies this to designing robust, standards-compliant solutions. Commercial Acumen: Applies strong commercial and financial reasoning — including BoQ/BoM development, pricing strategy, and TCO/ROI modelling — to structure competitive, profitable data center proposals.<br>Integrated Management System (IMS) Responsibilities:Quality: Understand and comply with the Quality Management System applicable to the role — including awareness of the Quality Policy and relevant quality objectives, adherence to documented procedures, active contribution to QMS effectiveness and continual improvement, and awareness of the implications of not meeting requirements. Occupational, Health & Safety: Understand and comply with the OH&S Management System applicable to the role — including awareness of the OH&S Policy, adherence to safe work procedures and required PPE, participation in hazard identification and risk control, prompt reporting of hazards, near-misses and incidents, and the right to remove oneself from any situation of imminent and serious danger. Information Security Management: Understand and comply with the Information Security Management System applicable to the role — including awareness of the Information Security Policy and acceptable-use requirements, protection of company and customer information in line with its classification, contribution to ISMS effectiveness, and prompt reporting of information security events and weaknesses.

<p>We are seeking a Senior Design Manager for our Data Center based in Doha, Qatar. In this strategic leadership role, you will oversee the design and planning of complex data center infrastructure projects, ensuring alignment with organizational objectives and industry standards. You will lead cross-functional teams, manage project portfolios, and drive innovation in data center design while maintaining the highest standards of quality and efficiency.</p><p>Lead and manage the design phase of large-scale data center projects from conception through implementation, ensuring adherence to timelines, budgets, and specifications</p><p>Develop comprehensive design strategies and project plans that align with organizational goals and stakeholder requirements</p><p>Oversee and mentor a team of design professionals, providing technical guidance, performance feedback, and professional development opportunities</p><p>Coordinate with PMC stakeholders, architects, engineers, and vendors to ensure seamless project execution and effective communication</p><p>Analyze project requirements and constraints to identify risks, develop mitigation strategies, and implement solutions proactively</p><p>Ensure compliance with industry standards, codes, and regulations</p><p>Manage design documentation, specifications, and technical drawings to maintain accuracy and consistency across all project phases</p><p>Monitor project performance metrics and KPIs, providing regular status reports and recommendations to senior leadership</p><p>Evaluate emerging technologies and design methodologies to enhance operational efficiency and project outcomes</p><p>Facilitate stakeholder meetings and presentations to communicate design concepts, progress updates, and project decisions</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum 10 years of professional experience in data center / mission critical / industrial design, management, or related project management roles</li><li>Minimum 5 years of experience managing the design delivery of Design &amp; Build projects from concept through construction, commissioning, and handover.</li><li>Strong knowledge of data center infrastructure systems including cooling, power distribution, and network architecture</li><li>Preferred: Experience managing data center projects in the Middle East region</li></ul>

Role- Data & AI project Lead Experience - 12+ years Location- Qatar required Good GCC banking experience. <br>Role Overview – Data & AI Project Lead Key Responsibilities• End-to-end ownership of project delivery, including planning, execution, governance, and closure.• Manage and engage multiple stakeholders across business units, IT teams, and external partners.• Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.• Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.• Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.• Monitor project dependencies, risks, issues, and escalations across multiple workstreams.• Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.<br>Required Skills and Experience• Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.• Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.• Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.• Hands-on expertise in Agile project management, JIRA, and collaboration tools.• Strong communication, leadership, and vendor management skills.• GCC and/or Qatar banking experience is highly desirable.<br>Evaluation Criteria Submitted profiles will be assessed based on:• Relevance and depth of Data, Analytics, and AI project experience.• Demonstrated leadership in large-scale and complex transformation programs.• Banking / financial services domain exposure, preferably within Qatar or the GCC.• Hands-on experience with Agile delivery methodologies and JIRA.• Ability to manage multiple stakeholders and vendors effectively.• Availability to support immediate project timelines.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> About the Role This is a freelance role for a Tendem project.<br> As a Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Compensation On this project, contributors can earn up to $37 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br> How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule.<br> From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.<br> Why this freelance opportunity might be a great fit for you?<br> Work fully remote on your own schedule with just a laptop and stable internet connection.<br> Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.<br> Participate in performance-based bonus programs that reward high-quality work and consistent delivery.<br> At least 3 year of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor's or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies.<br> Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML).<br> Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets).<br> Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving.<br> Strong attention to detail and commitment to data accuracy.<br> Self-directed work ethic with ability to troubleshoot independently.<br> A link to GitHub is a plus.<br> English proficiency: Upper-intermediate (B2) or above (required).<br></span> </div>

About the Role To lead hydrographic data processing, quality control, charting and final deliverables for marine survey projects including MBES, positioning, tides and bathymetric outputs while supporting in-house projects and reviewing third-party deliverables.<br>Key Responsibilities Process Multibeam Echo Sounder, Global Navigation Satellite System, Inertial Navigation System and ancillary survey data using industry software. Perform data QC, patch test validation, sound velocity correction, tide correction and uncertainty checks. Prepare charts, Digital Terrain Model surfaces, contours and final client deliverables. Review third-party survey reports and identify technical non-conformities. Support offshore acquisition team with technical troubleshooting and survey planning. Ensure compliance with client specifications, company procedures and HSE requirements; promote safe systems of work and stop unsafe activities. Support offshore acquisition teams and survey planning.<br>Qualifications Bachelor degree in Hydrography, Geomatics, Surveying or Marine Science.8+ years hydrographic processing experience. Software experience in EIVA, QINSy, Qimera, CARIS, Auto CAD, Arc GIS, Hypack. Strong MBES processing experience. IHO Cat A/B preferred, IMCA familiarity.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p>Role Overview: Drive advanced analytics, predictive modeling, and machine learning initiatives to support business and operational decisions.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Requirements:</h2><ul><li>Master s or PhD in Data Science, AI, or related field</li><li>10 13+ years in advanced analytics</li><li>Strong programming (Python, AI/ML frameworks)</li></ul><p></p></section>

Role- Data & AI project Lead Experience - 12+ years Location- Qatar required Good GCC banking experience. <br>Role Overview – Data & AI Project Lead Key Responsibilities• End-to-end ownership of project delivery, including planning, execution, governance, and closure.• Manage and engage multiple stakeholders across business units, IT teams, and external partners.• Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.• Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.• Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.• Monitor project dependencies, risks, issues, and escalations across multiple workstreams.• Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.<br>Required Skills and Experience• Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.• Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.• Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.• Hands-on expertise in Agile project management, JIRA, and collaboration tools.• Strong communication, leadership, and vendor management skills.• GCC and/or Qatar banking experience is highly desirable.<br>Evaluation Criteria Submitted profiles will be assessed based on:• Relevance and depth of Data, Analytics, and AI project experience.• Demonstrated leadership in large-scale and complex transformation programs.• Banking / financial services domain exposure, preferably within Qatar or the GCC.• Hands-on experience with Agile delivery methodologies and JIRA.• Ability to manage multiple stakeholders and vendors effectively.• Availability to support immediate project timelines.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Summary <br> <p>The Vice President – Data Analysis will lead the execution of QNB’s enterprise-wide analytics strategy, ensuring insights-driven decision-making across all business units. This role involves overseeing the development of executive dashboards, KPI frameworks, performance analysis, and business intelligence solutions that drive measurable business value. The incumbent will manage a team of analysts and collaborate across functions to improve profitability, enhance operational efficiency, and ensure compliance with internal and regulatory standards.</p><br><p>It is ideal that the candidate should have: Advanced SQL and data modeling, Python, DWH / Lakehouse Design, ETL / ELT Pipeline Development, BI and reporting platforms, Data quality and reconciliation, Banking data domain knowledge, Workflow orchestration and automation, Databricks or similar, Data governance.</p><br> <br> <br><br> Main Responsibilities <br> <p>A. Shareholder &amp; Financial:</p><br><p>- Lead and manage a team of analysts, BI developers, and MIS experts with clear performance objectives and </p><br><p>KPIs.</p><br><p>- Define team OKRs aligned with strategic initiatives across business segments and digital transformation</p><br><p>- Define enterprise-level KPIs, measurement standards, and performance dashboards aligned with QNB’s strategic </p><br><p>and financial objectives.</p><br><p>- Lead data-driven financial modelling, profitability analysis, and scenario planning to support C-level decisions.</p><br><p>- Optimize business outcomes by integrating advanced analytics into key revenue-generating areas such as </p><br><p>lending, deposits, and fee income.</p><br><p>- Align analytics investments with organizational priorities and deliver maximum ROI from BI platforms and tools.</p><br><p>- Design and deliver cost-efficiency analysis for operational processes using benchmarking and variance analysis.</p><br><p>- Contribute to strategic initiatives such as Net Promoter Score (NPS) growth, client retention, and cross-sell </p><br><p>analytics.</p><br><p>- Monitor and analyse the impact of pricing, interest rate, and commission changes using dynamic models.</p><br><p>- Evaluate and mitigate financial risk exposure through data-supported key risk indicators (KRIs) and early-warning </p><br><p>models.</p><br><p>- Act within the limits of the powers delegated to the incumbent and delegate authority to the respective staff and </p><br><p>monitor exercise of the same.</p><br><p>- Demonstrate clear understanding of the important factors behind the bank's financial &amp; non-financial </p><br><p>performance.</p><br><p>B. Customer (Internal &amp; External):</p><br><p>- Serve as a senior advisor to business units by converting data into insights to drive customer-centric strategy.</p><br><p>- Collaborate with stakeholders across retail, corporate, international, and digital banking to deliver customized </p><br><p>performance reports.</p><br><p>- Lead strategic engagements with marketing, CRM, and product teams to optimize campaign effectiveness and </p><br><p>client segmentation.</p><br><p>- Oversee analytics initiatives that drive onboarding, retention, upselling, and loyalty programs.</p><br><p>- Support branch/channel performance tracking and digital adoption strategies through channel-level analytics.</p><br><p>- Ensure availability of real-time dashboards and alerts for business users through self-service BI environments.</p><br><p>- Facilitate quarterly business reviews with senior executives using insight-backed reporting packs.</p><br><p>- Build external partnerships with vendors and service providers for benchmark studies and advanced analytics </p><br><p>solutions.</p><br><p>- To assist customers in all their queries on Bank’s product and seek solution to their requests.</p><br><p>- Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve </p><br><p>improvements in turn-around time.</p><br><p>- Build and maintain strong/effective relationships with related departments/units to achieve the Group’s objectives.</p><br><p>- Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.</p><br><p>C. Internal (Processes, Products, Regulatory):</p><br><p>- Own and govern the enterprise data analytics lifecycle from requirement gathering to insight delivery and </p><br><p>refinement.</p><br><p>- Design and deploy standardized business metric definitions and metadata repositories to support consistency </p><br><p>across departments.</p><br><p>- Lead cross-functional working groups to address analytics use cases across finance, risk, treasury, operations, </p><br><p>and compliance.</p><br><p>- Implement analytics frameworks to monitor and improve operational efficiency and cost optimization projects.</p><br><p>- Ensure regulatory-compliant data architecture and reporting workflows as per QCB, GDPR, and NDCP.</p><br><p>- Review, validate, and approve critical business models (profitability, risk scoring, churn) before deployment.</p><br><p>- Work closely with the Data Governance and Quality teams to ensure audit readiness of all analytical models and </p><br><p>outputs.</p><br><p>- Evaluate and implement workflow tools that integrate analytics seamlessly with business systems (CRM, core </p><br><p>banking, etc.).</p><br><p>- Continuous Improvement: [add if they have subordinates]</p><br><p>Set examples by leading improvement initiatives through cross-functional teams ensuring successes.</p><br><p>Identify and encourage people to adopt practices better than the industry standard. </p><br><p>Continuously encourage and recognise the importance of thinking out-of-the-box within the team. </p><br><p>Encourage, solicit and reward innovative ideas even in day-to-day issues.</p><br><p>D. Learning &amp; Knowledge:</p><br><p>- Build a learning roadmap for the analytics team, covering technical upskilling and business storytelling techniques.</p><br><p>- Champion a culture of analytical curiosity and insight-driven decision-making across business users.</p><br><p>- Establish a knowledge-sharing environment through analytics playbooks, case studies, and success metrics.</p><br><p>- Initiate cross-training programs for analysts to support multi-domain exposure and professional development.</p><br><p>- Stay current with evolving analytics trends, AI/ML tools, and cloud analytics capabilities in financial services.</p><br><p>- Mentor senior analysts on translating business problems into analytical hypotheses and data solutions.</p><br><p>- Facilitate monthly innovation forums to showcase high-impact analytics use cases across QNB.</p><br><p>- Drive a data literacy program across business units to build awareness and adoption of BI solutions.</p><br><p>- Hold meetings with staff and assess their performance and your teams overall performance on a regular basis.</p><br><p>- Take decisive action to ensure speedy resolution of unresolved grievances or conflicts within the team members.</p><br><p>- Identify development opportunities and activities for staff and facilitate/coach them to improve their effectives and </p><br><p>prepare them to assume greater responsibilities.</p><br><p>E. Legal, Regulatory, and Risk Framework Responsibilities:</p><br><p>- Ensure full adherence to QCB, NDCP, and international data protection and analytics governance requirements.</p><br><p>- Participate in internal and external audits as the analytics lead and provide all required documentation and </p><br><p>evidence.</p><br><p>- Implement review workflows for business reports involving sensitive KPIs or confidential customer information.</p><br><p>- Define and maintain audit trails, access controls, and documentation standards for all critical analytical assets.</p><br><p>- Support Regulatory and Risk teams with analytics for RCSA, KRI, internal capital adequacy, and Basel reporting.</p><br><p>- Oversee proper usage and lifecycle of business models approved for executive decision-making.</p><br><p>- Drive alignment of all analytics programs with the Bank’s Conduct Risk and Data Protection policies.</p><br><p>- Coordinate with Compliance and Internal Audit teams to investigate data breaches or unauthorized analytical </p><br><p>access.</p><br><p>- Complete all mandatory training provided by the Bank, attain, and maintain the required levels of competence.</p><br><p>- Attend mandatory (internal and external) seminars as instructed by the Bank.</p><br><p>F. Other:</p><br><p>- Ensure high standards of data protection and confidentiality to safeguard commercially sensitive information.</p><br><p>- Maintaining utmost confidentiality concerning customer and internal bank information obtained during the course </p><br><p>of business and provide such information on a need-to-know basis only to Senior Management of QNB, Audit and </p><br><p>Compliance functions, and relevant Regulators.</p><br><p>- Maintain high professional standards to uphold QNB's reputation and to strengthen its market leadership position.</p><br><p>- All other ad hoc duties/activities related to QNB that management might request from time to time.</p><br><p>- Build succession planning and capability mapping frameworks within the analytics function.</p><br><p>- Foster an inclusive, high-performance culture that encourages innovation and accountability.</p><br><p>- Oversee recruitment, onboarding, and development of top-tier analytical talent.</p><br><p>- Develop and implement governance policies for dashboard publishing, metric ownership, and release </p><br><p>management.</p><br><p>- Represent analytics in the bank’s technology or governance steering committees.</p><br><p>- Conduct regular performance reviews, identify skills gaps, and implement targeted development plans.</p><br> <br> <br><br> Education and Experience Requirements <br> <p>- University degree with specialization in Business Analytics, Data Science, Economics, Engineering, or related </p><br><p>fields.</p><br><p>- Master’s degree or MBA is highly preferred.</p><br><p>- Minimum 12 years’ experience in data analytics, with at least 8 years in senior leadership roles within the banking </p><br><p>or financial services sector.</p><br><p>- Track record of delivering enterprise-wide BI strategies and measurable business outcomes.</p><br> <br> <br> </div>

<p>EZY-HR-01 Data &amp; Leads Generator FULL TIME DOHA OFFICE Find and qualify the businesses we should be delivering for. Detail work: lists, numbers, follow-through.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>We are&nbsp;</strong>currently looking<strong> Data &amp; AI Project Lead for our </strong>Qatar operations</p><br><p><strong>Required Skills and Experience</strong></p><br><ul><li>Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.</li><li>Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.</li><li>Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.</li><li>Hands-on expertise in Agile project management, JIRA, and collaboration tools.</li><li>Strong communication, leadership, and vendor management skills.</li><li>GCC and/or Qatar banking experience is highly desirable.</li></ul><p><strong>Key Responsibilities</strong></p><br><ul><li>End-to-end ownership of project delivery, including planning, execution, governance, and closure.</li><li>Manage and engage multiple stakeholders across business units, IT teams, and external partners.</li><li>Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.</li><li>Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.</li><li>Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.</li><li>Monitor project dependencies, risks, issues, and escalations across multiple workstreams.</li><li>Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.</li></ul><p><strong>Joining time frame:</strong> 2 weeks (maximum 1 month)</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>We are&nbsp;</strong>currently looking<strong> Data &amp; AI Project Lead for our </strong>Qatar operations</p><br><p><strong>Required Skills and Experience</strong></p><br><ul><li>Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.</li><li>Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.</li><li>Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.</li><li>Hands-on expertise in Agile project management, JIRA, and collaboration tools.</li><li>Strong communication, leadership, and vendor management skills.</li><li>GCC and/or Qatar banking experience is highly desirable.</li></ul><p><strong>Key Responsibilities</strong></p><br><ul><li>End-to-end ownership of project delivery, including planning, execution, governance, and closure.</li><li>Manage and engage multiple stakeholders across business units, IT teams, and external partners.</li><li>Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.</li><li>Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.</li><li>Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.</li><li>Monitor project dependencies, risks, issues, and escalations across multiple workstreams.</li><li>Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.</li></ul><p><strong>Joining time frame:</strong> 2 weeks (maximum 1 month)</p><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br>Job Description<br><p>We are currently looking Data &amp; AI Project Lead for our Qatar operations</p><br><p>Required Skills and Experience</p><br><p>• Minimum 12+ years of experience managing large-scale Data and AI projects, preferably within banking or financial services.</p><br><p>• Strong technical understanding of data platforms, analytics ecosystems, and AI-driven solutions.</p><br><p>• Proven ability to manage complex stakeholder environments and deliver programs under tight timelines.</p><br><p>• Hands-on expertise in Agile project management, JIRA, and collaboration tools.</p><br><p>• Strong communication, leadership, and vendor management skills.</p><br><p>• GCC and/or Qatar banking experience is highly desirable.</p><br><p>Key Responsibilities</p><br><p>• End-to-end ownership of project delivery, including planning, execution, governance, and closure.</p><br><p>• Manage and engage multiple stakeholders across business units, IT teams, and external partners.</p><br><p>• Drive project governance using Agile methodologies, including sprint planning, backlog management, and progress tracking through JIRA.</p><br><p>• Facilitate Project Review Working Groups, ensuring timely updates, risk mitigation, and effective decision-making.</p><br><p>• Oversee vendor coordination and ensure adherence to agreed timelines, budgets, and quality standards.</p><br><p>• Monitor project dependencies, risks, issues, and escalations across multiple workstreams.</p><br><p>• Ensure successful delivery of Data, Analytics, Governance, and AI-related initiatives aligned with business objectives.</p><br><p>Joining time frame: 2 weeks (maximum 1 month)</p><br><br>Additional Information<br><p><strong><u>Terms and conditions:</u></strong>&nbsp;</p><br><p><strong>Joining time frame:</strong>&nbsp;&nbsp; <strong>maximum 4 weeks</strong></p><br><br><br> </div>

Our client is seeking a BIM Modeler to support the delivery of a large scale Data Center construction project in Doha, Qatar. The role will be responsible for developing, coordinating, and managing BIM models across Civil, Structural, Architectural, and MEP disciplines to support design coordination, clash detection, construction sequencing, and project delivery.<br><br>Key Responsibilities<br><br>Develop and maintain accurate BIM models for Data Center construction projects. Coordinate BIM deliverables across CSA and MEP disciplines. Support clash detection processes and coordinate model reviews with consultants, contractors, and project teams. Produce shop drawings, coordinated layouts, and construction documentation from BIM models. Ensure BIM standards, project requirements, and drawing protocols are maintained throughout the project lifecycle. Support construction teams with model updates, RFIs, and design coordination. Participate in coordination meetings and assist in resolving technical and spatial conflicts. Work closely with engineering and site teams to ensure model accuracy and constructability.<br><br>Requirements<br><br>Minimum 5+ years of BIM modeling experience within construction projects. Must have Data Center construction project experience. Strong experience in CSA and/or MEP BIM coordination. Proficiency in Revit, Navisworks, Auto CAD, and BIM coordination tools. Experience with clash detection, shop drawings, and coordinated construction models. Understanding of Data Center environments and fast-track construction delivery. Ability to coordinate with multidisciplinary teams and manage project deadlines. Diploma or Degree in Engineering, Architecture, BIM, or related field. Previous experience working on large-scale or mission-critical projects is preferred. Must be located in Qatar.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> General Information <br> <br> Ref # <br> 234525 <br> <br> Location <br> Qatar-Doha <br> <br> Job family <br> Corporate &amp; Commercial <br> <br> <ul><li><span>Closing Date:</span> <span>2026-08-03</span></li></ul><br> <br> <br> <br> <br> <br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> About the job Data Analysis Specialist Experience of working with employee surveys and related tools and approaches <p>Strong track record in designing, producing and delivering impactful surveys.</p><br> <p>Experience in using measurement, data, analytics and insight in relation to communication and engagement activity</p><br> <p>Excellent analytics and problem-solving abilities</p><br> <p>Effective communication skills to convey complex findings to diverse audience</p><br> <p>Ability to analyse existing tools and databases and provide recommendations</p><br> <p>Strong Business Intelligence (BI) analysis background</p><br> <p>Excellent command of the English language</p><br> <p>PC literate</p><br> <p>Proficiency in primary and secondary research methodologies</p><br> <p>Ability to present work quickly and accurately, under pressure and to deadline</p><br> <p>Resilient and adaptable</p><br> <p>Willing to work occasionally long/unsocial hours to meet the needs of the business</p><br> <p>Demonstrate creative flair and innovative thinking</p><br> <br> <br> </div>

About Agoda<br><br>At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.<br><br>Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.<br><br>No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.<br><br>THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED)<br><br>Location: Bangkok, Thailand (*Not open for remote work)<br><br>Get to Know our Team:<br><br>The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda’s supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.<br><br>The Opportunity: <br><br>As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.<br><br>In this Role, you’ll get to:<br><br>Translate internal briefs into analytical projects (to include refining the initial brief and asking the ‘right questions’, working through potential hypotheses and storyboarding the output) Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders. Proactively identify opportunities for growth within supply and the wider business. Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply. Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence. Automate manual operational processes and present back on time savings gained through modernization of business operations<br><br>What you’ll Need to Succeed:<br><br>At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BIAdvanced working knowledge and hands-on experience in SQLStrong knowledge and hands-on experience in data visualization tools such as Tableau (preferably) Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R) Bachelor’s degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.) Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite. Experience in conducting A/B testing experimentation Strong experience in finding data insights and provide business recommendation to the business A hacker’s mindset – the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping. Excellent communicator with superior written, verbal, presentation and interpersonal communication skills. Data driven in both decision making and performance measurement. Extreme comfort in ambiguous, fast-paced environment. Ability to multi-task, prioritize and coordinate resources.<br><br>It’s Great if you Have: <br><br>MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance). Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience. Asian market experience. Travel industry / e-commerce / tech / consulting experience.<br><br>#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #yerevan #sydney #melbourne #perth #vienna #graz #minsk #brussels #antwerp #ghent #charleroi #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis<br><br>Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.<br><br>Discover More About Working At Agoda<br><br>Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/Linked In https://www.linkedin.com/company/agoda You Tube https://www.youtube.com/agodalife<br><br>Equal Opportunity Employer <br><br>At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.<br><br>We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.<br><br>Disclaimer<br><br>We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.