[ksa] data & ai – senior consultant / associate manager

data engineer

senior data engineer

[ksa] data & ai – senior consultant / associate manager Jobs in Riyadh

data analyst

senior data modeler consultant Jobs in Riyadh

senior data modeler consultant

senior data scientist

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you'll do
 
 
 
 
 
 <ul>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions
 </li>
 <li>
 Plan and execute end-to-end data science projects, from data collection and exploration through model development, deployment, and intelligent decision-making
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity
 </li>
 <li>
 Deploy and maintain AI and machine learning models across on-prem, cloud, and hybrid environments
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields
 </li>
 <li>
 3-5 years of relevant experience as a data scientist, or similar fields that require developing ML/AI models
 </li>
 <li>
 Programming experience over three years, including data manipulation using Python or other languages
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub
 </li>
 <li>
 Experience in SQL or NoSQL is preferred
 </li>
 <li>
 Familiarity with big data technologies, such as Spark
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker
 </li>
 <li>
 Experience deploying, operating, and managing applications or services in cloud environments, whether related to AI/ML or broader software workloads
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
 
 &nbsp;
 
</div>

Data Scientist III

Zakat, Tax and Customs Authority

<div>
 Purpose of Job
 
 
 Job Resposiblites
 
 
 Job Details
 
 
 Communication and Contacs
 
 
 Education
 
 
 
 Experience
 
 
 
 Competencies
 
 
 Collaboration and Communication - Developing
 
 
 Policy Making - Developing
 
 
 Professionalism - Developing
 
 
 Database Design and Operations - Proficient
 
 
 Data Processing - Proficient
 
 
 IT Compliance - Proficient
 
 
 Results Oriented - Developing
 
 
 Data Management Planning and Design - Proficient
 
 
 Customer Focus - Developing
 
 
 Data Analytics - Developing
 
 
 Enablement of Change and Innovation - Developing
</div>

Availability and Sharing Data Senior Specialist

Qiddiya Investment Company

<div>General Summary
Qiddiya City is an exciting new destination city right on the doorstep of Riyadh, Kingdom of Saudi Arabia. The city plan will include 25 distinct masterplan districts across sports, entertainment, arts and culture, and mixed-use areas, residential communities and nature. Qiddiya City will eventually be home to more than 600,000 residents and host millions of visitors and experience seekers yearly.
The Sales and Leasing Performance Unit (PLU) within Qiddiya is responsible for developing best practice sales and leasing standards and expertise within the organisation. At the heart of this unit sits the Qiddiya Real Estate LearnLab (QREL), a digital-first, gamified learning academy, designed to drive measurable commercial capability development across the Sales and Leasing function.
The Senior Specialist &ndash; Training Administration role reports directly to the Senior Manager, Digital Systems. This role is the operational backbone of the learning platform, aimed at ensuring that learners are correctly configured, content is accurately published and maintained, training schedules are coordinated, and learning data is surfaced in a meaningful and timely way through dashboards and reporting.
About the Role/Project Scope
This is a highly organised, detail-oriented, and platform management role that requires a strong working knowledge of LMS/LXP administration, digital content authoring, data and dashboard management, and learner coordination. The Senior Specialist &ndash; Training Administration will work closely with the other teams of the Qiddiya Real Estate LearnLab (QREL) to ensure the platform runs smoothly, learners receive a seamless experience, and senior stakeholders have the operational data it needs to make informed decisions. 
Key Responsibilities
LMS/LXP Administration and Learner Account Management<ul><li>Serve as the day-to-day LMS/LXP administrator for the Qiddiya Real Estate LearnLab online academy, managing all learner-facing configuration across internal and external learner audience.</li><li>Create, manage, and maintain learner accounts in Qiddiya&rsquo;s LMS/LXP, including user provisioning, role assignment, cohort allocation, and access management across all active learning programmes.</li><li>Process new learner onboarding requests, ensuring accurate data entry, correct role tagging, and timely account activation so that learners can access their assigned programmes without delay.</li><li>Manage learner enrollments, unenrollment, and transfers between programmes and cohorts in Qiddiya&rsquo;s LMS/LXP, maintaining an accurate and up-to-date learner register at all times.</li><li>Configure and maintain smart groups, learning paths, and auto-enrolment rules within Qiddiya&rsquo;s LMS/LXP to ensure learners are automatically directed to the correct content based on their role, BU, and cohort.</li><li>Administer completion certificates and badge awards within Qiddiya&rsquo;s LMS/LXP, ensuring all gamification mechanics including points allocation, badge triggers, and leaderboard entries fire correctly and are verified against test results.</li><li>Troubleshoot learner access issues, SCORM loading errors, completion tracking failures, and platform navigation problems, escalating to the Senior Manager, Digital Systems where platform-level resolution is required.</li><li>Maintain the QREL learner database as a live and accurate record, auditing regularly for duplicate accounts, inactive users, or misassigned roles.</li></ul>
Training Schedule Coordination and Programme Administration<ul><li>Coordinate and manage the QREL training calendar, scheduling live learning sessions, instructor-led workshops, onboarding events, and assessment windows across all cohorts and BU audiences.</li><li>Send calendar invitations, pre-session communications, joining instructions, and preparation materials to learners and facilitators ahead of scheduled training sessions.</li><li>Track attendance and participation for all live and scheduled training events, maintaining accurate session records and flagging non-attendance to the relevant Anchor or BU lead.</li><li>Coordinate logistics for in-person training sessions including room booking, materials preparation, equipment checks, and facilitator support where required.</li><li>Maintain a forward-looking training schedule that is shared with the DS team, Learner Experience team, Programs team, and relevant BU stakeholders on a regular basis.</li><li>Manage training waitlists, cohort capacity, and scheduling conflicts, escalating prioritisation decisions to the Senior Manager, Digital Systems where required.</li><li>Support post-training administration including assessment distribution, feedback survey deployment, and completion record updates in Qiddiya&rsquo;s LMS/LXP following live sessions.</li></ul> 
Content Authoring and Publishing in LMS/LXP<ul><li>Author, build, and publish learning content within Qiddiya&rsquo;s LMS/LXP using the platform's native authoring tools, including course builder, module cards, scenario cards, question cards, survey cards, and reflection prompts.</li><li>Support the production of bite-sized digital learning assets in LMS/LXP including knowledge checks, pre-assessments, placement tests, and spaced repetition review cards aligned to the QREL content architecture.</li><li>Apply and maintain the QREL metadata taxonomy across all published content in LMS/LXP, ensuring every module carries the correct realm tag, skill tag, language tag, audience tag, and content type classification.</li><li>Manage content version control in LMS/LXP, archiving outdated or superseded modules correctly to protect completion records and learner history while keeping the active content catalogue clean and accurate.</li><li>Conduct regular content audits within the LMS/LXP catalogue to identify and resolve tagging errors, broken SCORM links, incorrect completion criteria, or sequencing issues.</li><li>Coordinate with the Programs team and Accenture on the timely receipt of SCORM files, reviewing each upload against the content acceptance criteria before publishing to the live environment.</li></ul>
Dashboard Management and Reporting<ul><li>Build, maintain, and update QREL learning dashboards within LMS/LXP Insights and Power BI, ensuring that real-time and periodic reports are available to the DS team, Learner Experience team, BU Training Leads, and senior stakeholders.</li><li>Produce regular operational reports covering learner completion rates, module engagement, assessment scores, at-risk learner flags, and platform activity volumes, distributing these to the relevant stakeholders on an agreed reporting cadence.</li><li>Monitor Qiddiya&rsquo;s LMS/LXP Insights on a daily and weekly basis, identifying completion gaps, engagement drops, or data anomalies and escalating to the Senior Manager, Digital Systems with a clear summary and recommended action.</li><li>Maintain the four-view QREL reporting suite &mdash; Learning Administrator, BU Training Lead, Senior Stakeholders, and Performance Team &mdash; ensuring dashboards are accurate, up to date, and aligned to the agreed KPI framework.</li><li>Track and report on platform health metrics including login frequency, session duration, active learner counts, at-risk content flags, and notification open rates, providing weekly summaries to the Senior Manager, Digital Systems.</li><li>Ensure all learner data and reporting outputs are handled in accordance with QREL data governance standards and Qiddiya's data privacy requirements.</li></ul>
Stakeholder Coordination and Communication<ul><li>Act as the first point of contact for learner queries, access issues, and platform questions, responding promptly and escalating to the Manager/Senior Manager, Digital Systems and or other teams respectively, where platform-level intervention is needed.</li><li>Liaise with BU Training Leads and Anchors to communicate training schedules, completion deadlines, assessment requirements, and learner progress updates on a regular basis.</li><li>Coordinate with the Learner Experience (LX) team to ensure learner-facing communications, including launch announcements, welcome messages, and campaign content, are aligned to the QREL brand and distributed through the correct channels.</li><li>Work closely with the Programs and LX teams to ensure content is published correctly, learner pathways are configured accurately, and the learner experience is delivered consistently across every cohort and learning area.</li><li>Support the Senior Manager, Digital Systems in preparing materials, data summaries, and status updates for internal meetings, Steerco sessions, and vendor reviews.</li></ul> 
Requirements 
Skills and Attributes required/ desired
Essential (must have to perform the role):<ul><li>Bachelor's degree in Business Administration, Information Technology, Learning and Development, Education, or a related field.</li><li>Minimum 3 to 5 years of professional experience in a learning administration, LMS/LXP management, or digital learning operations role, preferably in a large organization.</li><li>Demonstrated working knowledge in managing a LMS/LXP (for examples Sana, Cornerstone, etc), including learner account management, content publishing, enrolment configuration, and reporting.</li><li>Experience uploading, configuring, and troubleshooting SCORM content within an LMS/LXP environment.</li><li>Proficiency in building and maintaining dashboards and reports using LMS/LXP Insights, Power BI, or equivalent data visualisation tools.</li><li>Strong organisational skills with a high degree of accuracy and attention to detail in data entry, account management, and content configuration.</li><li>Working knowledge of digital learning authoring tools (Articulate/Elucidat/Mindsmith/Genially/iSpring/etc) or equivalent</li><li>Excellent written and verbal communication skills in English. Arabic proficiency is an advantage.</li><li>Strong interpersonal skills with the ability to coordinate effectively across multiple teams and stakeholders.</li><li>Ability to manage multiple workstreams simultaneously and prioritise effectively in a fast-paced environment.</li><li>High proficiency in Microsoft 365 including SharePoint, Teams, Excel, and PowerPoint.</li></ul>
Desirable (advantageous):<ul><li>Prior experience working within a Sales and Leasing, real estate, or commercial capability development environment.</li><li>Familiarity with gamification mechanics in a learning platform context, including points, badges, leaderboards, and progress-based unlocking.</li><li>Experience producing or administering bilingual English and Arabic learning content, including familiarity with right-to-left formatting and Arabic SCORM testing.</li><li>Experience working within a parent-child LMS/LXP node structure or multi-entity learning environment.</li></ul> 
Preferred Background and experience
<ul><li>Proven track record as an LMS/LXP administrator in a mid-to-large organisation, managing learner populations across multiple cohorts, business units, or geographies.</li><li>Experience managing LMS/LXP or an equivalent platform as a named administrator, with responsibility for end-to-end platform governance including user management, content publishing, and reporting.</li><li>Background in digital learning operations, with hands-on experience building and publishing content using native LMS authoring tools and SCORM-based modules.</li><li>Demonstrated experience producing and managing learning dashboards and data reports for multiple stakeholder audiences.</li><li>Track record of coordinating training schedules and programme logistics across a large and geographically distributed learner population.</li></ul>
Experience working within a structured content governance and metadata tagging framework.</div>

Senior Specialist - Training Administration - (CDU-029) 50012690

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">CV&rsquo;s that match the JD will be entertained Only 
 
Data Architect 
Location : Onsite &ndash; Riyadh 
Role Duration &ndash; Long Term
</h1>
<h1 class="jobSectionHeader">Role Overview</h1>
The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>
Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>
Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>
Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>
Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>
Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>
Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>
Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>
Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>
Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><h1 class="jobSectionHeader">
Required Experience and Qualifications</h1><ul><li>
15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation.</li><li>
Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment.</li><li>
Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability.</li><li>
Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems.</li><li>
Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles.</li><li>
Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns.</li><li>
Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</li></ul>
8hClB9Kwo7</div>

Senior Data Architect

Qiddiya | القدية

<div>
 The Senior Manager leads project controls and financial governance across assigned projects or portfolios, ensuring robust oversight of contracts, budgets, schedules, risks, and reporting. The role provides strategic financial insight, strengthens control frameworks, and supports senior leadership in informed decision-making.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Manage contract variations, change orders, and extension of time/cost claims, ensuring proper evaluation, documentation, approvals, and reporting.
 </li>
 <li>
 Oversee utilization of project contingencies and provisional sums, ensuring disciplined budget control and alignment with approved business cases.
 </li>
 <li>
 Direct cost monitoring, forecasting, and variance analysis, providing clear insights and mitigation strategies to senior management.
 </li>
 <li>
 Ensure integrity and reconciliation of data across SAP, Primavera P6, Unifier, BIM, and related systems.
 </li>
 <li>
 Oversee monthly accrual reviews and financial close activities to ensure accuracy and compliance.
 </li>
 <li>
 Provide high-level oversight of schedule changes and integrated cost/schedule impacts.
 </li>
 <li>
 Lead risk and opportunity reviews, ensuring timely identification, assessment, and escalation of key exposures.
 </li>
 <li>
 Act as a senior liaison between Finance, Commercial, and Project Delivery teams to ensure transparency and alignment.
 </li>
 <li>
 Mentor and guide project controls teams, promoting governance, accountability, and continuous improvement
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Bachelor's degree
 
 
 Working knowledge or certification on project tools such as: primavera, p6, unifier, SAP project module. (required)
 
 
 
 Professional Certifications
 
 
 
 Professional certifications such as CPA/ MBA are preferred
 
 
 Certificate in Construction Law and Dispute Resolution - RICS or similar are preferred
 
 
 Project Management Professional (PMP) is preferred.
 
 
 8+ years of experience in Project Controls, or Development Finance as part of large construction company or large developer or PMC.
</div>

Senior Manager - Financial Planning and Analysis (CORS 251)

Bayt Almaloumat Alarabiya For Information Technology

Senior IT Infrastructure &amp; Systems Engineer (Arabic speakers only)Location: [Riyadh, Saudi Arabia] Employment Type: Full-Time Experience: Minimum 3 YearsJob SummaryWe are looking for a hands-on Senior IT Infrastructure &amp; Systems Engineer with proven experience in Microsoft 365, servers, virtualization, networking, firewalls, backup, and data center projects.The candidate will be responsible for designing, implementing, migrating, and supporting IT infrastructure solutions for customers.Key Responsibilities<ul><li>Perform Microsoft 365 email, Teams, OneDrive, and SharePoint migrations.</li><li>Support Microsoft CSP customers and troubleshoot Microsoft 365 services.</li><li>Install and configure FortiGate firewalls, security policies, NAT, VPN, IPS, and web filtering.</li><li>Install and configure physical servers, Windows Server, SQL Server, and Active Directory.</li><li>Install and manage VMware ESXi and vSphere environments.</li><li>Redesign existing networks, create VLANs, and implement network segmentation.</li><li>Install and configure Veeam Backup &amp; Replication.</li><li>Design and implement server high-availability, backup, and disaster recovery solutions.</li><li>Upgrade and reorganize existing data centers, including racks, cabling, power, labeling, and equipment installation.</li><li>Prepare network diagrams, implementation plans, technical documentation, and handover reports.</li><li>Provide on-site and remote technical support to customers.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in IT, Computer Science, Computer Engineering, or a related field.</li><li>Minimum 3 years of proven hands-on experience in IT infrastructure and system integration.</li><li>Strong experience with:</li><li>Microsoft 365 and email migrations</li><li>Windows Server and Active Directory</li><li>Fortinet FortiGate</li><li>VMware virtualization</li><li>Veeam Backup &amp; Replication</li><li>SQL Server installation</li><li>VLANs, routing, switching, and network security</li><li>Server high availability and disaster recovery</li><li>Data center implementation and renovation</li><li>Strong troubleshooting, documentation, and customer communication skills.</li><li>Ability to manage customer projects independently.</li></ul>Preferred CertificationsMicrosoft, Fortinet, VMware, Veeam, Cisco, or equivalent certifications are preferred.Candidates should include details of relevant projects in their CV.Job Type: Full-timeExperience:<ul><li>Install and configure FortiGate firewalls, security policies: 3 years (Required)</li><li>Windows Server , SQL Server installation ,Active Directory: 3 years (Required)</li><li>VMware virtualization: 3 years (Required)</li><li>VLANs, routing, switching, and network security: 3 years (Required)</li><li>Microsoft 365 and email migrations: 3 years (Required)</li><li>Ability to manage customer projects independently: 3 years (Required)</li><li>chatgpt and claude: 2 years (Required)</li></ul>Work Location: In person

IT Infrastructure & Systems Engineer

Mozn

<div>About Mozn
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises. 
Requirements 
<ul><li>
Lead consultative AI and data analytics presales engagements, guiding customers from problem discovery to solution definition and technical validation.</li><li>
Partner with business and technical stakeholders to understand strategic objectives, data challenges, and AI maturity, and translate them into actionable solution approaches.</li><li>
Advise customers on AI use cases, prioritization, and adoption roadmaps, focusing on measurable business value rather than technology alone.</li><li>
Deliver targeted demonstrations, workshops, and proof-of-concepts aligned with customer priorities and decision criteria.</li><li>
Support complex sales cycles through structured responses to RFPs, RFIs, and executive-level discussions.</li><li>
Communicate AI and analytics concepts clearly to both technical and executive audiences, enabling informed decision-making.</li><li>
Collaborate closely with Sales, Product, and Delivery teams to shape deal strategy and ensure a smooth transition from presales to delivery.</li><li>
Continuously develop expertise in Mozn&rsquo;s AI and analytics offerings, industry trends, and competitive landscape.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related technical discipline; a Master&rsquo;s degree is a plus.</li><li>
7+ years of experience in presales, solutions consulting, AI/data analytics consulting, or a similar senior customer-facing technical role, preferably in enterprise or regulated environments.</li><li>
Strong understanding of AI and advanced analytics concepts, including LLMs, NLP, RAG, and model lifecycle considerations, with the ability to translate technical capabilities into business value.</li><li>
Proven experience advising customers on AI strategy, use-case definition, and solution approaches throughout complex sales cycles.</li><li>
Demonstrated ability to engage, influence, and communicate effectively with senior stakeholders, including executives and technical leadership.</li><li>
Solid experience leading RFP/RFI responses and contributing to solution design, technical narratives, and value propositions.</li><li>
Excellent analytical and problem-structuring skills, with the ability to navigate ambiguity and guide customers toward clear decisions.</li><li>
Comfortable operating in fast-paced, cross-functional environments, collaborating closely with Sales, Product, Data Science, and Delivery teams.</li><li>
Arabic Language is a must</li></ul> 

Benefits 
<ul><li>
You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.</li><li>
You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.</li><li>
The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.</li><li>
You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.</li><li>
We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.</li></ul></div>

Presales Consultant, AI & Data Analytics

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