pavement data collection engineer (roads o&m)

planning engineer

data scientist (roads o&m)

pavement data collection engineer (roads o&m) Jobs in Doha

principal piping designer

principal project planner

ai expert for plant data model pdm project

Al Adyat consultancy

Job Profile: AI Expert for Plant Data Model (PDM Project)Job SummaryWe are seeking a highly skilled AI Expert to design, build, and operationalize AI/ML solutions that deliver measurable business outcomes. The ideal candidate combines deep machine learning expertise with strong software engineering practices, MLOps proficiency, and stakeholder collaboration. This role will lead end-to-end projects&mdash;from problem framing and data acquisition to model development, deployment, monitoring, and continuous improvement&mdash;while ensuring compliance with security, privacy, and governance policies.Key Responsibilities&middot; Partner with business stakeholders to translate strategic objectives into AI use cases with clear KPIs and ROI.&middot; Own the full ML lifecycle: data sourcing, feature engineering, model selection, training, evaluation, and production deployment.&middot; Implement robust MLOps: CI/CD for ML, model registry, automated testing, reproducible pipelines, and monitoring (drift, performance, fairness).&middot; Design scalable data/feature pipelines using best practices for data quality, lineage, and governance.&middot; Develop models across domains (e.g., predictive analytics, time series, NLP, computer vision, recommender systems).&middot; Optimize models for efficiency and cost across CPU/GPU, leveraging quantization, distillation, or serving optimizations.&middot; Deploy and maintain models on cloud and on-prem platforms; orchestrate with containers and microservices (Docker/Kubernetes).&middot; Establish and enforce responsible AI practices: privacy-preserving methods, bias detection/mitigation, explainability, and secure handling of data.&middot; Produce high-quality documentation: design docs, runbooks, experiment logs, and user guides; present results to technical and non-technical audiences.&middot; Mentor engineers and analysts; contribute to standards, templates, and reusable components within the AI platform.Minimum Qualifications&middot; Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, or related field (or equivalent experience).&middot; 5+ years building and deploying ML models in production environments.&middot; Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).&middot; Hands-on experience with data processing frameworks (e.g., Pandas, Spark), SQL/NoSQL databases, and feature stores.&middot; Proficiency in MLOps tooling (e.g., MLflow, DVC, Kubeflow, Airflow) and CI/CD for ML.&middot; Experience deploying to cloud platforms (e.g., Azure Machine Learning, AWS SageMaker, GCP Vertex AI) and container orchestration (Docker/Kubernetes).&middot; Solid understanding of statistics, experiment design (A/B testing), and model validation techniques.&middot; Excellent communication and stakeholder management skills; ability to articulate complex concepts clearly.Preferred Qualifications&middot; Master&rsquo;s or PhD in a quantitative field.&middot; Experience with NLP (transformers, LLMs, RAG) and computer vision (CNNs, detection/segmentation).&middot; Exposure to time-series forecasting, optimization, and reinforcement learning for industrial use cases.&middot; Experience with Azure ecosystem (Azure ML, Databricks, Data Factory, Synapse) and enterprise integration patterns.&middot; Familiarity with privacy-preserving techniques (differential privacy, federated learning) and model interpretability (SHAP, LIME).&middot; Track record of delivering AI solutions in manufacturing, energy, or operations (e.g., predictive maintenance, process optimization).Technical Stack &amp; Tools&middot; Languages: Python (preferred), SQL; familiarity with C++/Java is a plus.&middot; ML/AI: scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face; experiment tracking (MLflow).&middot; Data: Pandas, Spark, Delta/Parquet; data versioning (DVC); feature stores.&middot; Pipelines &amp; Orchestration: Airflow, Prefect, Kubeflow; Docker/Kubernetes for serving.&middot; Monitoring &amp; Observability: Prometheus/Grafana; model drift/performance monitoring tools.&middot; DevOps: Git, GitHub/GitLab, CI/CD, testing frameworks (pytest).&middot; Cloud: Azure (preferred), AWS, GCP; serverless and managed ML services.Core Competencies &amp; Soft Skills&middot; Business acumen with the ability to prioritize use cases based on value and feasibility.&middot; Structured problem solving and hypothesis-driven experimentation.&middot; Clear written and verbal communication, storytelling with data, and visualization skills.&middot; Collaboration and mentorship across cross-functional teams (engineering, operations, compliance).&middot; Ownership mindset with a focus on reliability, safety, and continuous improvement.AI Governance, Security &amp; Compliance&middot; Adhere to corporate data governance policies, security standards, and regulatory requirements (e.g., GDPR where applicable).&middot; Implement role-based access controls, encryption, secure secrets management, and audit trails across the ML stack.&middot; Ensure models meet fairness, transparency, and explainability guidelines; conduct regular risk assessments and reviews.Success Criteria &amp; KPIs&middot; Cycle time from ideation to production (weeks).&middot; Model performance against business KPIs (e.g., accuracy, precision/recall, uplift, cost savings).&middot; Operational reliability (SLA adherence, downtime, incident rate).&middot; Adoption and user satisfaction for AI-enabled products and workflows.Compliance metrics (governance checks passed, audits completed).Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Expert for Plant Data Model (PDM Project) : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Data Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

AI Expert for Plant Data Model (PDM Project)

Job Profile: Cloud Infrastructure ArchitectJob Overview:The Cloud Infrastructure Architect is responsible for designing and overseeing the deployment of scalable, secure, and high-performance infrastructure to support the implementation of Plant Data Model (PDM) system. This role focuses on hybrid architecture with a strong emphasis on Microsoft technologies, including Azure, Microsoft 365, Intune, and Power Platform.The architect will evaluate infrastructure proposals submitted by implementation partners, ensure alignment with enterprise architecture and cybersecurity standards, and supervise the setup and integration of cloud and on-premises components. The role requires deep technical expertise in cloud infrastructure, virtualization, disaster recovery, and enterprise-grade networking, with proven experience in oil and gas environments.Key Responsibilities:<ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment with enterprise architecture, cybersecurity standards, and operational requirements.</li><li>Lead the implementation of hybrid cloud infrastructure to support the PDM solution, with a focus on Microsoft technologies including Azure, Microsoft 365, Intune, and Power Platform in collaboration with implementation partners.</li><li>Lead the deployment and configuration of virtual machines, storage systems, networking components, and backup solutions across on-premises and cloud environments.</li><li>Ensure seamless integration of infrastructure with Active Directory, DNS, SCCM, Intune, and other enterprise services.</li><li>Oversee disaster recovery planning and high availability setup for PDM, ensuring compliance with existing DR architecture and recovery objectives.</li><li>Monitor infrastructure performance across distributed sites (e.g., Ras Laffan, Taweelah, Abu Dhabi), optimizing for latency, bandwidth, and system responsiveness.</li><li>Collaborate with system integration experts to ensure infrastructure readiness for middleware, APIs, and real-time data systems.</li><li>Enforce security protocols including encryption, role-based access controls, and secure remote access via ZTNA and MFA.</li><li>Support infrastructure scalability planning, capacity assessments, and hardware provisioning in coordination with approved vendors.</li><li>Maintain detailed documentation of infrastructure architecture, deployment plans, and operational procedures.</li><li>Provide technical oversight during implementation, testing, and go-live phases, ensuring infrastructure stability and compliance.</li></ul>Required Qualifications:Educational Background:<ul><li>A degree in computer science, Computer Engineering, information technology, or a related field</li></ul>Certifications (Preferred)<ul><li>Microsoft Certified: Azure Solutions Architect Expert</li><li>Certified Kubernetes Administrator (CKA)</li><li>TOGAF or similar enterprise architecture framework</li></ul>Expected Experience<ul><li>Minimum: 7&ndash;10 years of experience in IT infrastructure and cloud architecture</li><li>Preferred: Experience leading or supporting cloud/hybrid deployments for industrial platforms (e.g., AVEVA, Hexagon, Siemens, Bentley)</li></ul>Technical Skills<ul><li>Deep expertise in Microsoft Azure services including Virtual Machines, Azure Active Directory, Azure Storage, Azure Networking, and Azure Monitor.</li><li>Experience with Microsoft 365, Intune, and Power Platform for enterprise productivity, device management, and workflow automation.</li><li>Strong understanding of hybrid cloud architecture, including integration between on-premises infrastructure and cloud services.</li><li>Experience with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying and managing containerized applications in hybrid environments</li><li>Advanced knowledge of Azure Virtual Network (VNet) design, ExpressRoute, VPN gateways, DNS, load balancing, and secure network segmentation.</li></ul>Soft Skills:<ul><li>Excellent analytical and research skills.</li><li>Strong communication skills to collaborate with cross-functional teams.</li><li>Strong presentation skills</li></ul>Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>IT infrastructure and cloud architecture: 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Computer Engineering (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

Cloud Infrastructure Architect

Job Overview:The Data Warehouse Expert will lead the data management, integration, governance, and operations workstreams of the Plant Data Management (PDM) project &ndash; a strategic &ldquo;Smart Plant&rdquo; initiative to create a single source of truth for all critical engineering and production data. This senior role requires a seasoned professional with at least 10 years of experience in data management in the oil &amp; gas industry. A strong background in Microsoft data warehousing technologies and an understanding of plant operational processes are essential for successKey Responsibilities:<ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment architecture, data standards, &amp; operational requirements.</li><li>Lead the implementation of single source of truth, focusing on MS technologies including Azure, Microsoft 365, MSSQL, &amp; Power Platform in collaboration with implementation partners.</li><li>Collaborate with the solution enterprise architect to make sure the data warehouse design aligns with the overall solution architecture and IT infrastructure.</li><li>Lead the central repository architecture for integrated data from multiple sources (e.g. SAP, real-time systems, spreadsheets) in line with the PDM project requirements</li><li>Define the data models (schemas, tables, cubes) and storage strategy (on-premises MS SQL Server with potential hybrid cloud) to support reporting and analytics.</li><li>Ensure the configuration of ETL/ELT pipelines (using Microsoft SSIS or Azure Data Factory) to extract data from source systems, transform it, and load it into the warehouse.</li><li>Establish a robust data governance framework within the PDM scope, defining data ownership for different data domains (ensuring business stakeholders are identified as data owners), set up data stewardship roles if needed, and enforce policies for data usage, retention, and lifecycle management.</li><li>Enforce compliance with the company&rsquo;s cybersecurity and data privacy policies</li><li>Work to achieve high availability of the data platform. Implement redundancy and failover mechanisms as appropriate (clustering, backups, mirrored databases, etc.). Ensure disaster recovery plans are in place</li><li>Develop and implement data governance policies, standards, and procedures.</li><li>Collaborate with data owners and stewards to define data definitions, classifications, and quality rules.</li><li>Monitor data quality metrics and lead initiatives to resolve data issues.</li><li>Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal policies.</li><li>&sect; Maintain data catalogs, metadata repositories, and data lineage documentation.</li><li>Support data governance tools and platforms, ensuring proper configuration and usage.</li><li>Conduct training and awareness programs to promote data governance best practices.</li><li>Design and implement frameworks that enable secure, self-service access to data across departments.</li><li>Promote data literacy by developing training materials and conducting workshops on data usage and governance.</li><li>Support the deployment and adoption of data catalog and self-service BI tools.</li><li>Define and manage role-based access controls to balance data accessibility with security.</li><li>Act as a liaison between IT, data teams, and business stakeholders to and ensure relevant data is discoverable and usable.</li><li>Participate in data governance councils and cross-functional working groups, to align data strategy with business goals.</li><li>Provide guidance on data stewardship responsibilities and best practices.</li></ul>Required Qualifications:Educational Background:<ul><li>Bachelor&rsquo;s degree in Information Management, Computer Science, Business, or a related field.</li><li>3+ years of experience in data governance, data management, or a related discipline.</li><li>Strong understanding of data governance frameworks.</li><li>Familiarity with data privacy laws and regulatory requirements.</li><li>Experience with data governance.</li><li>Excellent communication, collaboration, and problem-solving skills.</li><li>Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul>Expected Experience<ul><li>10+ years of experience in data management roles, including data warehouse development, system integration, and IT project management.</li><li>5+ Experience must be in the oil &amp; gas industry, dealing with industrial or enterprise data.</li></ul>Technical Skills<ul><li>Deep expertise in Microsoft Data Warehouse technologies &ndash; MS SQL Server, SQL Server Integration Services (SSIS) for ETL, SQL Server Analysis Services (SSAS) for OLAP, and SQL querying/tuning</li><li>Strong knowledge of relational and dimensional data modeling. Ability to design normalized schemas for staging and integration, as well as star/snowflake schemas for analytics.</li><li>Experience with handling large datasets (hundreds of gigabytes to terabytes) efficiently (partitioning, indexing strategies, etc.)</li><li>Hands-on experience integrating multiple systems and platforms Microsoft BizTalk, SAP, &amp; SharePoint online.</li><li>Experience implementing data governance policies and using tools for data quality and metadata management</li><li>Proficient in project management practices</li><li>Certified Data Management Professional (CDMP)</li><li>Data Governance and Stewardship Professional (DGSP)</li><li>Certified Information Privacy Professional (CIPP)</li></ul>Soft Skills:<ul><li>Excellent analytical and research skills.</li><li>Strong communication skills to collaborate with cross-functional teams.</li><li>Strong presentation skills</li></ul>Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Warehouse : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in Information Management, Computer Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

Data Warehouse Expert

Forvis Mazars in Qatar

<div>Job responsibilities: 
<ul><li>Responsible for overall design, operation, maintenance and continuous improvement of the data, analytics and artificial intelligence platforms used by the Security Operations Center (further referenced as SOC). Responsibilities and duties are planned as follows:</li></ul>

<ul><li>Continuous maintenance of the data pipelines, analytics platforms and AI models used by the Security Operations Center; including data ingestion, normalization, feature extraction, model training and deployment.</li></ul>

<ul><li>Ensuring the overall health of the SOC data platform, analytics engines, machine learning models, and AI-assisted detection systems.</li></ul>

<ul><li>Manage verification, validation, tuning, and quality of security telemetry including logs, NetFlow/IPFIX, EDR data, threat intelligence feeds and other SOC data sources.</li></ul>

<ul><li>Develop, train, validate and tune machine learning and analytics models used for:</li></ul>

<ul><li>Anomaly detection</li></ul>

<ul><li>Threat classification</li></ul>

<ul><li>Behavioral analysis</li></ul>

<ul><li>Alert prioritization and risk scoring</li></ul>

<ul><li>Deploy and tune detection models and analytic use cases driven by security intelligence, threat hunting and incident response requirements.</li></ul>

<ul><li>Implement analytic use cases as required by Security Intelligence, Tier-2 and Tier-3 teams.</li></ul>

<ul><li>Manage and coordinate data source onboarding, integration, normalization, enrichment and troubleshooting for all SOC telemetry sources.</li></ul>

<ul><li>Manage access and permissions for data platforms, analytics environments and AI systems used by the SOC.</li></ul>

<ul><li>Ensure that security data sources are correctly feeding the analytics and AI platforms.</li></ul>

<ul><li>Generate analytical reports, dashboards and model outputs as required by SOC management, threat hunting and incident response teams.</li></ul>

<ul><li>Configuration, management, performance tuning and capacity planning of SOC data, analytics and AI platforms.</li></ul>

<ul><li>Support proof-of-concepts (POCs) for new SOC data sources, analytics techniques and AI-driven security capabilities.</li></ul>

<ul><li>Review vendor, open-source and research developments in security analytics, machine learning and AI relevant to SOC operations.</li></ul>

<ul><li>Should have good knowledge of systems, solutions and security tools and skills as follows:</li></ul>

<ul><li>Knowledge of MS Windows and UNIX-based systems.</li></ul>

<ul><li>Knowledge of data engineering and big-data platforms (data pipelines, stream processing, data lakes).</li></ul>

<ul><li>Knowledge of security telemetry including SIEM data models, NetFlow/IPFIX, EDR telemetry and threat intelligence formats.</li></ul>

<ul><li>Knowledge of machine learning and analytics techniques including anomaly detection, classification, clustering and statistical modeling.</li></ul>

<ul><li>Knowledge of AI-driven SOC technologies including LLM-based assistants, automated enrichment and detection analytics.</li></ul>

<ul><li>Familiarity with MITRE ATT&amp;CK, incident response lifecycle and threat hunting methodologies.</li></ul>

<ul><li>Problem-solving skills to identify data quality, detection gaps and model performance issues.</li></ul>

<ul><li>Communication with SOC teams (Tier-1, Tier-2, Tier-3) to align analytics and AI capabilities with operational needs.</li></ul>

<ul><li>Communication with vendors and data providers related to SOC analytics, telemetry and AI platforms.</li></ul>

Required certifications in:

<ul><li>Data engineering, analytics or AI platforms (Cloudera, Databricks, AWS, Azure, GCP, etc.)</li></ul></div>

CSOC Data Analyst L2

Qatar University

<div>Qatar University&rsquo;s Agricultural Research Station is seeking a highly motivated and skilled Research Associate/Assistant to join our Agrotechnology and Food Innovation team. The successful candidate will support innovation in precision farming and agri-tech solutions, including hydroponics, vertical farming, food processing technologies, and non-conventional plant-derived food products. The ideal candidate will have a strong background in plant nutrition, agrotechnology, and food innovation, with a passion for driving sustainable solutions in agriculture.<div></div><div><div> 
1. Conduct research on hydroponics, vertical farming systems, and non-conventional food production methods.</div><div>
2. Design and execute experiments to optimize plant growth, yield, and nutritional value.</div><div>
3. Investigate applications of nanotechnology in agriculture, including nutrient delivery and crop protection.</div><div>
4. Develop waste-to-value solutions from agricultural by-products.</div><div>
5. Collaborate with multidisciplinary teams to implement agrotechnology solutions using AI, IoT, robotics, and data-driven approaches.</div><div>
6. Explore biotechnology, genetic engineering, and alternative protein sources for sustainable food systems.</div><div>
7. Analyze research data and prepare reports, publications, and presentations.</div><div>
8. Publish research in peer-reviewed journals and contribute to patents and technology transfer.</div><div>
9. Stay updated on advancements in agrotechnology and food innovation.</div><div>
10. Mentor students and junior researchers and support research activities.</div></div>
Qualifications
<ul><li><ul><li>PhD or MSc in Plant Science, Agrotechnology, Horticulture, Agricultural Science, or a related field.</li><li>PhD or minimum 4 years of relevant research experience after MSc.</li><li>Strong experience in hydroponics and vertical farming systems.</li><li>Knowledge of plant physiology and growth optimization.</li><li>Experience in experimental design and data analysis.</li><li>Familiarity with nanotechnology and sustainable agriculture practices.</li><li>Strong publication record in peer-reviewed journals.</li><li>Excellent communication and teamwork skills.</li><li>English required; Arabic preferred.</li></ul></li></ul>
Required Documents 
<div></div>
Academic:
<div><ul><li>Current Curriculum Vitae with Cover letter.</li></ul>
<ul><li>Teaching,research, and service philosophy.</li></ul>
<ul><li>Three referees&rsquo; contact information (physical and email addresses as well their telephones contact).</li></ul>
<ul><li>Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed.However, if no course work was completed,an copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree).</li></ul>
<ul><li>Any additional documentation that you feel is relevant to your application.</li></ul></div>
Benefits 
<div></div>
Academic:
<div><ul><li>A three-year renewable contract.</li></ul>
<ul><li>Salary is commensurate with experience.</li></ul>
<ul><li>Tax-free salary.</li></ul>
<ul><li>Furnished accommodation in accordance with QU HR policies.</li></ul>
<ul><li>Annual air tickets for faculty member and dependents in accordance with QU HR policies.</li></ul>
<ul><li>Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.</li></ul>
<ul><li>Private health care and health insurance in accordance with QU HR policies.</li></ul>
<ul><li>Annual leave in accordance with QU HR policies.</li></ul>
<ul><li>End-of-contract indemnity.</li></ul></div>
How To Apply New Applicant: You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.</div>

Research Associate

Envision Employment Solutions

<div>
 
 
 Description
 
 
 
 
 Envision Employment Solutions
 
 is currently looking for a
 
 Senior Account Specialist
 
 for one of our partners, a global leader in the IT Services and IT Consulting.
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly driven Senior Account Specialist to lead enterprise account management and revenue growth across strategic accounts. This role requires strong experience in selling customized enterprise IT solutions, particularly in Data, AI, and system integration environments.
 
 
 
 
 
 The ideal candidate is commercially sharp, relationship-driven, and experienced in managing the full sales lifecycle &mdash; from hunting and bidding to project implementation and revenue expansion.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Account &amp; Revenue Ownership
 
 
 
 &bull; Own the full account management lifecycle
 
 
 &bull; Act as the primary point of contact for assigned enterprise clients
 
 
 &bull; Meet or exceed revenue targets through new customer acquisition and cross/upselling
 
 
 &bull; Drive footprint expansion within allocated accounts
 
 
 &bull; Generate and maintain accurate revenue forecasts
 
 
 
 
 
 
 New Business Development
 
 
 
 &bull; Identify, qualify, and close new sales opportunities
 
 
 &bull; Prospect strategically into CTOs, IT leaders, engineering heads, and technical stakeholders
 
 
 &bull; Generate new leads through professional networks, cold outreach, and market research
 
 
 &bull; Build strong executive-level relationships with business and financial decision-makers
 
 
 
 
 
 
 Sales &amp; Bidding Management
 
 
 
 &bull; Own and manage the bidding process in collaboration with the bidding team
 
 
 &bull; Ensure accuracy and quality of proposals and bid submissions
 
 
 &bull; Independently negotiate and close small and mid-sized deals
 
 
 &bull; Support the Account Director in closing large enterprise deals
 
 
 
 
 
 
 Client Relationship &amp; Project Engagement
 
 
 
 &bull; Serve as a trusted advisor on data and technology solutions
 
 
 &bull; Understand client business models, data lifecycles, and transformation goals
 
 
 &bull; Participate from project kickoff through final sign-off
 
 
 &bull; Monitor customer satisfaction throughout implementation
 
 
 &bull; Identify risks and opportunities within active projects
 
 
 
 
 
 
 Market Intelligence &amp; Growth Strategy
 
 
 
 &bull; Conduct continuous market analysis of client industries and competitors
 
 
 &bull; Develop comprehensive account development plans covering revenue, risk, and opportunity
 
 
 &bull; Identify new business lines relevant to client needs
 
 
 &bull; Participate in trade shows and technology events to develop pipeline
 
 
 
 
 
 
 Commercial &amp; Administrative Management
 
 
 
 &bull; Use CRM to log activities, track pipeline, and generate sales reports
 
 
 &bull; Coordinate contract renewals and support collections
 
 
 &bull; Follow up on invoices and ensure payment collections
 
 
 &bull; Maintain updated customer documentation including contracts and proposals
 
 
 &bull; Coordinate with marketing teams on joint campaigns and lead generation
 
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 &bull; Bachelor&rsquo;s degree in Business, Computer Science, or related field
 
 
 &bull; Evidence of continued education in Sales and Technology
 
 
 &bull; Minimum 5 years of quota-carrying enterprise sales experience
 
 
 &bull; Mandatory experience in customized enterprise IT solutions sales
 
 
 &bull; Strong experience in Data-related solutions (Data Consultancy, Data Management, Data Lakehouse, BI, AI/LLM) highly preferred
 
 
 &bull; Alternative acceptable background: customized software solutions or system integration (not SaaS/license-only sales)
 
 
 &bull; Experience selling to large enterprises (Public Sector, Banking, Telecom)
 
 
 &bull; Strong regional network within Qatar
 
 
 &bull; Based in Qatar
 
 
 &bull; Native Arabic speaker with fluent English
 
 
 &bull; Familiarity with data technologies and open-source ecosystems is a plus
 
 
 &bull; Hands-on CRM experience preferred
 
 
 
 
 
 
 Skills &amp; Competencies:
 
 
 
 &bull; Excellent selling and negotiation skills
 
 
 &bull; Strong revenue-growth mindset
 
 
 &bull; Exceptional executive relationship-building ability
 
 
 &bull; Strong presentation and communication skills
 
 
 &bull; Commercially driven and results-oriented
 
 
 &bull; Strong forecasting and pipeline management skills
 
 
 &bull; High level of ownership and accountability
 
 
 
 
 
 
 Benefits &amp; Work Setup
 
 
 
 &bull; Basic salary
 
 
 &bull; Family Medical Insurance
 
 
 &bull; Round-trip family flight tickets once per year
 
 
 &bull; Visa coverage
 
 
 &bull;
 
 Location:
 
 Qatar
 
 
 &bull;
 
 Work Model:
 
 Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.
 
 
 &bull;
 
 Working Hours:
 
 9 AM to 6 PM
 
 
 &bull;
 
 Days Off:
 
 Fridays and Saturdays
 
</div>

Senior Account Specialist [Sales]

Dell Technologies

<div>Qatar, Doha
Are you an experienced outcome orientated technologist who well versed in providing presales advice for game-changing, enterprise-wide Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience Transformation services? Do you want to be a hero to Dell Technology customers by delivering outcomes for their complex business/IT use cases?
The Data Center Solutions Principal works within our Dell Technologies Services (DTS) Technical Consultants team in a presales function. You are responsible for leading the complex Multicloud, Data &amp; AI and Resiliency &amp; Security services solution definition and journey to outcome in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to architect and position the Dell and Dell partner ecosystem solution that best meets customer requirements and delivers expected outcomes. Dell Technologies Professional Services offers address the entire solution lifecycle in 4 phases, i.e. Strategize, Implement, Adopt and Scale spanning Consulting, Deployment, Residency and Managed services.
Join us to do the best work of your career and make a profound social impact as a Services Data Center Solutions Principal for Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience within Dell Technologies Services Technical Consultants team in Doha, Qatar.
What you&rsquo;ll achieve:
This is a senior presales customer facing role. The Solutions Principal will lead the development and delivery of presentations up to customer C-level management, driving advisory and technical workshops, designing Services Solution scopes, providing professional Services proposal responses to Requests for Proposal (RFPs), building out Statements of Work (SOW) comprising contractual services scopes, effort estimation and managing the sales lifecyle upto transition of work to the Dell Technologies delivery organization through through aligned practice management.
You Will:<ul><li>
Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by developing and articulating the applicable transformation journey being able to carry the conversation in both business and technology value terms with a focus on Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience services.</li><li>
Be part of the Middle East team of Account Solutions Principals. You will work on opportunities in the region.</li><li>
Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data &amp; AI and Resiliency &amp; Security and specifically your ability to architect and sell end-to-end professional services solutions.</li><li>
Contribute to business results through quality of input to Dell Technologies solution offers. You will be an evangelist to customers and internal stakeholders for Dell Technologies Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience professional service offerings. You represent Dell Technologies Services in the Dell Technologies organization through internal enablement sessions comprising workshops, presentations, programs, community/practice leadership and training. Work with services portfolio teams on new offers and with business development on sales campaigns.</li></ul>
Take the first step towards your dream career. 
Every Dell Technologies team member brings something unique to the table. Here&rsquo;s what we are looking for with this role:
Essential Requirements
<ul><li>Fluent in English</li><li>
10+ years services presales experience in the role of a solution lead, solution architect or similar with proven capability and experience in constructing services solutions (requirements gathering, professional services scope defintion, level of effort estimation, program planning and work packages, SoW writeup and RFI/RFP responses) for customers, typically in the large Enterprise and/or Government Sectors. You will have a thorough understanding of the development of the programme and project specific services P&amp;L and cash flow development (including business impact), risk analysis and working with Fixed Price, Time and Material and other complex commercial models and incorporation of 3rd party contracts in Waterfall and Agile project approaches.</li><li>
Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for customer engagement which may required further 3rd party vendor scoping elements.</li><li>
Passion for cutting edge technology, services and life-long learning and translating this into business outcomes. Expert knowledge in Multicloud/Data Center and AI &amp; Data services and proficient knowledge in the area Security &amp; Resilience services.</li><li>
Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; excellent communication skills in English (verbal/written); ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Travel across the region is essential.</li></ul>
Desirable Requirements<ul><li>
Fluent in Arabic</li><li>
Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience in on-premise and hybrid scenarios.</li><li>
Practical service delivery experience and relevant certifications in the area of Multicloud/Data Center, AI &amp; Data and Security &amp; Resilience</li></ul>
Who we are
We believe that each of us has the power to make an impact. That&rsquo;s why we put our team members at the center of everything we do. If you&rsquo;re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we&rsquo;re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.
Job ID:R286391</div>

Services Data Center Solutions Principal

Explore 1413+ Ai expert for plant data model pdm project in Doha this April. Find roles across top companies and apply now to boost your career.