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senior learning development specialist

Idaratech Platform - منصة إدارتك

<div>
 <p>
  <strong>
   Location:
  </strong>
  Jeddah, Saudi Arabia (On-site)
  <br/>
  <strong>
   Type:
  </strong>
  Full-time
  <br/>
  &nbsp;
 </p>
 <p>
  <strong>
   Role Summary
   <br/>
  </strong>
  Responsible for leading and managing learning and development initiatives across all departments, with a strong focus on sales enablement. Designs and delivers impactful training programs to enhance overall employee performance, particularly in ERP systems and SaaS solutions. Brings solid HR expertise and a clear understanding of the sales cycle to support sales team effectiveness and revenue growth. Plays a key role in building and scaling the L&amp;D function, identifying skill gaps, and driving continuous development aligned with business objectives.
  <br/>
  &nbsp;
 </p>
 <p>
  <strong>
   Key Responsibilities
   <br/>
   <br/>
  </strong>
  &bull; Conduct training needs analysis across all departments
 </p>
 <p>
  &bull; Design and deliver training programs (technical, behavioral, and sales-focused)
 </p>
 <p>
  &bull; Develop structured onboarding journeys for new hires, especially Sales
 </p>
 <p>
  &bull; Support Sales team development across the full sales cycle.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Requirements
   <br/>
  </strong>
  &nbsp;
 </p>
 <p>
  &bull; Bachelor&rsquo;s degree in HR, Business Administration, or related field
 </p>
 <p>
  &bull; 3&ndash;5 years of experience in Learning &amp; Development or Talent Development
 </p>
 <p>
  &bull; Proficiency in HRIS (Human Resources Information System)
 </p>
 <p>
  &bull; Experience in SaaS or ERP systems
 </p>
 <p>
  &bull; Strong exposure to HR practices and employee development
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Preferred Certifications
  </strong>
 </p>
 <p>
  &bull; Certified in Training of Trainers (ToT)&nbsp;
 </p>
</div>


Senior Learning & Development Specialist

Idaratech

<p><strong>Location:</strong> Jeddah, Saudi Arabia (On-site)<br /><strong>Type:</strong> Full-time<br /> </p><p><strong>Role Summary</strong><br />Responsible for leading and managing learning and development initiatives across all departments, with a strong focus on sales enablement. Designs and delivers impactful training programs to enhance overall employee performance, particularly in ERP systems and SaaS solutions. Brings solid HR expertise and a clear understanding of the sales cycle to support sales team effectiveness and revenue growth. Plays a key role in building and scaling the L&amp;D function, identifying skill gaps, and driving continuous development aligned with business objectives.<br /> </p><p><strong>Key Responsibilities</strong><br /><br />• Conduct training needs analysis across all departments</p><p>• Design and deliver training programs (technical, behavioral, and sales-focused)</p><p>• Develop structured onboarding journeys for new hires, especially Sales</p><p>• Support Sales team development across the full sales cycle.</p><p> </p><p><strong>Requirements</strong><br /> </p><p>• Bachelor’s degree in HR, Business Administration, or related field</p><p>• 3–5 years of experience in Learning &amp; Development or Talent Development</p><p>• Proficiency in HRIS (Human Resources Information System)</p><p>• Experience in SaaS or ERP systems</p><p>• Strong exposure to HR practices and employee development</p><p> </p><p> </p><p><strong>Preferred Certifications</strong></p><p>• Certified in Training of Trainers (ToT) </p>

Mnzil Facilities Management Services

<p><b>Role Summary:</b></p><p>The Business Development Specialist is responsible for driving new revenue by managing the full sales cycle&mdash;from initial contact to signed contract. This role requires strong execution, consistency, and a results-driven mindset. Specialists are expected to learn quickly, close deals efficiently, and contribute to building a scalable and high-performing sales engine.</p><p>This role is ideal for ambitious sales professionals looking to grow into senior or leadership positions.</p><p><b>Key Responsibilities</b></p><p><b>1. New Revenue Generation</b></p><p>&middot; Own the full sales cycle from first contact to signed contract</p><p>&middot; Convert inbound and outbound leads into qualified opportunities and closed deals</p><p>&middot; Carry an individual revenue target and consistently deliver against it</p><p><b>2. Pipeline Management</b></p><p>&middot; Maintain a clean, accurate, and up-to-date pipeline in HubSpot</p><p>&middot; Follow qualification frameworks and internal deal approval processes</p><p>&middot; Ensure clear communication ownership before progressing deals</p><p><b>3. Learning and Development</b></p><p>&middot; Shadow senior team members on larger and more complex deals</p><p>&middot; Continuously improve discovery, objection handling, negotiation, and closing skills</p><p>&middot; Actively absorb coaching and feedback with the goal of rapid progression</p><p><b>4. Collaboration</b></p><p>&middot; Work closely with Supply Partnerships to align client needs with available buildings</p><p>&middot; Support a smooth handover to Account Management after deal closure</p><p><b>Success Metrics</b></p><p>&middot; New CARR closed individually</p><p>&middot; Pipeline health and conversion rates</p><p>&middot; Consistency in sales activity and follow-through</p><p>&middot; Quality of client engagement and deal progression</p><p><b>Experience and Profile</b></p><p>&middot; 1 to 3 years of B2B sales or commercial experience</p><p>&middot; Fintech or B2B services background is a strong advantage</p><p>&middot; Fluent in both Arabic and English (required)</p><p>&middot; Strong communication skills with confidence in outreach and handling rejection</p><p>&middot; High energy, proactive, and goal-oriented mindset</p><p>&middot; Competitive attitude with strong drive and ownership</p><p>&middot; Excellent work ethic and professional discipline</p><p>&middot; Hunger to learn, grow, and scale quickly within the business</p><p>&middot; Coachable, adaptable, and eager to continuously improve</p><p><b>Compensation and Incentives</b></p><p>&middot; Competitive base salary</p><p>Send your cv to career@mnzil.com</p><p>&middot; Attractive quarterly commission structure</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

BD Associate

MA'ADEN

<div><div><div><div><div><p><b>Role Purpose:
</b></p><p>The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
</p><p>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</p><p>Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow.
</p><p>1. <b>Lead End-to-End Data Science Delivery
</b></p><ul><li><p>Developing, implementing and maintaining databases and data collection systems
</p></li><li><p>Own the full lifecycle of ML/AI initiatives&mdash;from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</p></li><li><p>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</p></li><li>Performing statistical analysis to understand and interpret data insights
</li><li>Applying data mining techniques to identify patterns, trends, and relationships in large datasets
</li><li>Building predictive models and machine learning algorithms to forecast future outcomes
</li><li>Creating clear data visualizations and reports to communicate findings to stakeholders
</li><li>Working with cross-functional teams to understand business needs and provide data-driven solutions
</li><li>Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
</li><li>Ensuring data security and compliance with relevant regulations
</li><li>Staying up to date with latest technological trends and techniques in data science
</li><li><p>Drive experimentation, model versioning, automated retraining, and continuous improvement.<br>
</p></li></ul></div></div><br>
<div><div><p><b>2. Translate Business Needs into AI/Analytics Solutions
</b></p><ul><li><p>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</p></li><li><p>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</p></li><li><p>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.<br>
</p></li></ul></div></div><br>
<div><div><p><b>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
</b></p><ul><li><p>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</p></li><li><p>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</p></li><li><p>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</p></li><li><p>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements<br>
</p></li></ul></div></div><br>
<div><div><p><b>4. Responsible AI, Quality &amp; Governance
</b></p><ul><li>Ensure compliance with Maaden &rsquo;s Responsible AI, data quality, and data governance frameworks.
</li><li>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
</li>Ensure transparency, explainability, and continuous model governance across production and enterprise environments<br>
<li>
</li></ul></div></div><br>
<div></div><div><div><div><b>Minimum Qualifications:
</b></div><p>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.<br>
</p><div></div><div><b>Minimum Experience:
</b></div><p>5 &ndash; 8 years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
</p><p>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</p><p>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS)
</p><p>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.<br>
</p></div></div><br>
<div><div><div><b>Maaden High-Performance Competencies:
</b></div><p><b>Core Competencies
</b></p><ul><li><p><b>Model Accuracy &amp; Reliability: </b>Performance, drift stability, and operational uptime.
</p></li><li><p><b>Adoption &amp; Business Impact: </b>Value realized, user adoption, integration success.
</p></li><li><p><b>Delivery Velocity: </b>Timeliness of development cycles and deployment readiness.
</p></li><li><p><b>Compliance &amp; Quality: </b>Alignment with Responsible AI, governance, and documentation standards.<br>
</p></li></ul></div></div><br>
<div><div><p><b>Skills:
</b></p><ul><li><b>Machine Learning &amp; AI Leadership
</b></li><li><b>Programming Expertise
</b></li><li><b>Generative AI Proficiency
</b></li><li><b>Strong Analytical &amp; Statistical Skills
</b></li><li><b>Business Strategy &amp; Product Thinking
</b></li><li><b>Ethics, Governance &amp; Responsible AI</b></li></ul></div></div></div></div></div><p></p>

Lead Specialist, Data Science & Analytics II

Naseej

<div></div><div><div><div><div><div><p>We usually respond within <b>a day</b>
</p></div></div></div></div><div></div><div><div><div><b>Company Description:</b></div><div>
Naseej is a leading technology company committed to harnessing the power of digital transformation in learning &amp; knowledge management by enabling our customers to provide rich experiences for their users and adapt to a dynamic technology landscape while reducing their technical burden enabling them to focus on achieving their strategic objectives. And for almost 36 years, Naseej with its branches all over the MENA region had made many contributions to be one of the market leaders in the fields of E-Learning, Edu-Tech &amp; Digital transformation. Naseej website: <b>https://www.naseej.com/</b></div><div><b>
Job Summary:</b></div><div>
We are seeking an experienced <b>Product Manager</b> to work on our team. The ideal candidate will be responsible for defining product direction, managing delivery, and ensuring the product meets both user and business needs.</div><div><b>
Requirements:</b></div><ul><div><div>
Proven experience in product management, including defining product roadmaps, prioritizing tasks, and managing features and release lifecycles.</div></div><div><div>
Strong communication, collaboration, and leadership abilities to work effectively with cross-functional teams.</div></div><div><div>
Analytical and strategic thinking skills to conduct market research, interpret data, and incorporate user feedback into product development.</div></div><div><div>
Proficiency in Agile methodologies and product management tools such as JIRA, TFS, or similar platforms.</div></div><div><div>
Familiarity with SaaS platforms, cloud technologies, and knowledge management or research management systems is considered an advantage.</div></div><div><div>
Bachelor&rsquo;s degree in business administration, Computer Science, or a related field.</div></div><div><div>
A proactive, problem-solving mindset with a strong focus on user needs and delivering impactful product solutions.</div></div></ul><br>
<div></div>
</div></div><div><div><div><div><b>Department</b></div>
<div>Oper - Project Management
</div><div><b>Locations</b></div>
<div>Riyadh
</div><div><b>Employment type</b></div>
<div>Full-time
</div><div><b>Nationalities that can apply.</b></div>
<div>Any Arab Nationalities
</div></div></div></div><div></div><div><div><div><div><p><b>CONTACT
</b></p><div><b>Fatma Kamal</b></div>
<div>Regional Talent Acquisition Senior Specialist &ndash; Human Resources &amp; Admin Support
</div></div></div></div></div><p></p><div><div><div><div><div><div>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>About Naseej</b></h2>
<div><div>Bringing together the latest technological advancement and know-how to support organizations in their digital transformation journey, Naseej offers a comprehensive suite of platforms and services, to empower organizations and enable them to focus on achieving their strategic objectives, fostering innovation, and maximizing productivity in the digital era.</div>
</div></div><div><div><b>Founded in </b>1989
</div><div><b>Co-workers </b>500</div></div></div></div></div><p></p>

Product Manager

<div><p><b>Job Purpose
</b></p><ul><li><div>The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
</div></li><li><div>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</div></li><li><div>Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow<br>
</div></li></ul><p></p><p><b>Key Accountabilities:
</b></p><p><b>1. Lead End-to-End Data Science Delivery
</b></p><ul><li>Developing, implementing and maintaining databases and data collection systems
</li><li>Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</li><li>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</li><li>Performing statistical analysis to understand and interpret data insights
</li><li>Applying data mining techniques to identify patterns, trends, and relationships in large datasets
</li><li>Building predictive models and machine learning algorithms to forecast future outcomes
</li><li>Creating clear data visualizations and reports to communicate findings to stakeholders
</li><li>Working with cross-functional teams to understand business needs and provide data-driven solutions
</li><li>Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
</li><li><div>Ensuring data security and compliance with relevant regulations
</div></li><li><div>Drive experimentation, model versioning, automated retraining, and continuous improvement.<br>
</div></li></ul><div></div><p><b>2. Translate Business Needs into AI/Analytics Solutions
</b></p><ul><li><div>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</div></li><li><div>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</div></li><li><div>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.<br>
</div></li></ul><p></p><p><b>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
</b></p><ul><li>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</li><li>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</li>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements<br>
<li>
</li></ul><p></p><p><b>4. Responsible AI, Quality &amp; Governance
</b></p><ul><li>Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
</li><li>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
</li>Ensure transparency, explainability, and continuous model governance across production and enterprise environments<br>
<li>
</li></ul><p></p><p><b>5. Stakeholder Management &amp; Value Realization
</b></p><ul><li>Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
</li>Track value realization, adoption metrics, and operational impact to ensure measurable benefit.<br>
<li>
</li></ul><p></p><p><b>Minimum Qualification, Experience and Core Competencies:
</b></p><p><b>Minimum Qualifications:
</b></p><ul><li><p>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.<br>
</p></li></ul><p></p><p><b>Minimum Experience:<br>
</b><br>
<br>
</p><ul><li><div><b>Minimum Experience:
</b></div></li><li><div>8 &ndash; 10 years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
</div></li><li><div>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</div></li><li><div>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch , Azure, AWS) &ndash; Microsoft AI Factory
</div></li><li><div>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.<br>
</div></li><li><br>
<b>Machine Learning &amp; Advanced Analytics
</b><ul><li>Hands-on experience developing and deploying <b>machine learning models </b>, including <b>time-series forecasting, predictive modeling, and optimization use cases
</b></li><li>Strong understanding of <b>model performance, validation, stability, and business impact
</b></li></ul></li><li><b>Generative AI &amp; AI Agents
</b><ul><li>Practical experience with <b>Generative AI solutions </b>, including <b>copilots, intelligent automation, and agent-based workflows
</b></li><li>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
<br>
<br>
Good to Have Capabilities
</li></ul></li><li><b>Data Engineering (IT + OT)
</b><ul><li>Experience designing and maintaining <b>data pipelines </b>across IT and OT environments
</li><li>Exposure to <b>sensor data, streaming / real-time data processing </b>, and industrial data sources
</li><li>Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
</li></ul></li><li><b>MLOps / AgentOps
</b><ul><li>Experience in <b>model deployment and lifecycle management </b>, including:
<ul><li>Transition from model development to <b>production and scale
</b></li><li>Monitoring, retraining, versioning, and drift management
</li></ul></li><li>Familiarity with automation and operationalization of ML/AI workloads
<br>
<br>
Preferred Experience &amp; Platforms
</li></ul></li><li><b>Cloud &amp; Analytics Platforms
</b><ul><li>Experience working with enterprise cloud platforms, preferably:
<ul><li><b>Microsoft Azure Data Platform
</b></li><li><b>Databricks AI Platform
</b></li><li><b>Microsoft AI Foundry / Microsoft AI Factory
</b></li></ul></li>Understanding of cloud-native architectures for scalable analytics and AI solutions<br>
<li>
</li></ul></li></ul><div></div><p><b>Core Competencies:
</b></p><ul><li><p><b>Model Accuracy &amp; Reliability: </b>Performance, drift stability, and operational uptime.
</p></li><li><p><b>Adoption &amp; Business Impact: </b>Value realized, user adoption, integration success.
</p></li><li><p><b>Delivery Velocity: </b>Timeliness of development cycles and deployment readiness.
</p></li><li><p><b>Compliance &amp; Quality: </b>Alignment with Responsible AI, governance, and documentation standards.</p></li></ul></div><p></p>

Principal Specialist, Data Science & Analytics

مدارس المجموعة العالمية (ISG)

<div><div><div><div><div><b>ISG Jubail</b></div>
(JUB)
</div><div>April,10, 2026</div>
</div></div><div><h2 class="jobSectionHeader"><b>Position Description</b></h2>
<div><div><div><div><b>LOCATION</b></div><div> Al Jubail, Eastern, Saudi Arabia</div></div><br>
<div><div><b>SCHOOL / SITE</b></div><div> ISG Jubail</div></div><br>
<div><div><b>DIVISION / DEPARTMENT</b></div><div> Whole School</div></div><br>
<div><div><b>POSITION TYPE</b></div><div> Teacher</div></div><br>
<div><div><b>SUBJECT / STAGES</b></div><p>
Whole School</p></div><div><div><b><br>
WORK DAYS / HOURS</b></div><div> 191 days @ 8 hours per day</div></div><br>
<div><div><b>POSITION STATUS</b></div><div> Full time</div></div><br>
<div><div><b>
SALARY CODE</b></div><div> Teacher</div></div><br>
<div><div><b>ELIGIBLE APPLICANTS</b></div><div> Saudi, Dependent</div></div><br>
<div><div><b>POSITION START DATE</b></div><div> August 5, 2026</div></div><br>
<div><div><b>APPLICATION DEADLINE</b></div><div> Until filled</div></div><br>
<div><div><b>REPORTS TO</b></div><div> Dr. Jamie Martin, Principal</div></div><br>
<div><div><b>REQUISITION NUMBER</b></div><div> 05-2627-052</div></div><br>
</div></div><br>
</div><h2 class="jobSectionHeader"><b>Summary</b></h2><p>
ISG Jubail is seeking a forward-thinking Technology &amp; Innovation Specialist to lead the development and delivery of a modern, future-focused technology program across Elementary, Middle, and High School.</p><p>
This role goes beyond traditional technology instruction. The successful candidate will design and implement a cohesive pathway of specialist courses in areas such as programming, robotics, computational thinking, and digital innovation. They will play a key role in shaping how students engage with technology, moving from consumers to creators.</p><p>
The ideal candidate is a builder and educator. Someone who is excited to launch new courses, pilot ideas, and create hands-on learning experiences that prepare students for a rapidly changing world. This person inspires curiosity, problem-solving, and real-world application, while aligning with ISG&rsquo;s mission to inspire innovation and compassionate action.</p><h2 class="jobSectionHeader"><b>
Position Duties</b></h2><p></p><p><b>
rogram Development &amp; Leadership</b></p><ul><li>
Design and implement a K&ndash;12 technology pathway that includes coding, robotics, and emerging technologies.</li><li>
Develop specialist courses and electives aligned with international standards and future-ready skills.</li><li>
Continuously evaluate and refine the program based on student needs and industry trends.</li><li>
Support integration of technology across subject areas where appropriate.</li></ul><p><b>
Teaching &amp; Learning</b></p><ul><li>
Deliver engaging, hands-on, project-based learning experiences.</li><li>
Teach programming, robotics, and related subjects appropriate to ES, MS, and HS levels.</li><li>
Foster creativity, critical thinking, and problem-solving through real-world challenges.</li><li>
Differentiate instruction to meet a wide range of learners.</li></ul><p></p><p><b>
Innovation &amp; Student Experience</b></p><ul><li>
Create opportunities for students to showcase learning (competitions, exhibitions, coding challenges, etc.).</li><li>
Encourage student-led projects, innovation, and design thinking.</li><li>
Build a culture where experimentation and iteration are part of learning.</li></ul><p><b>
Collaboration &amp; Community</b></p><ul><li>
Collaborate with faculty to support interdisciplinary learning.</li><li>
Provide guidance and support to staff in integrating technology into their classrooms.</li><li>
Engage with the wider school community through events, clubs, or after-school programs.</li><li>
Provide ongoing, structured support to teachers in integrating technology into their practice.</li><li>
Lead targeted professional development, coaching, and PLC integration to build staff confidence and consistency.</li><li>
Help establish clear expectations and shared approaches to technology use across the school.</li></ul><p><b>
Operations &amp; Support</b></p><ul><li>
Manage and maintain technology resources, including robotics equipment and software platforms.</li><li>
Stay current with developments in computer science, AI, and educational technology.</li><li>
Ensure safe and responsible use of technology at all times.</li></ul><p><b>
Perform other duties as assigned by the Assistant Principal or Principal</b></p><p></p><h2 class="jobSectionHeader"><b>
Qualifications and Knowledge
</b></h2><p></p><p>The ideal candidate will have:</p><p>
Required</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Technology, Engineering, or related field.</li><li>
Teaching certification.</li><li>
Experience teaching coding, robotics, or computer science across multiple grade levels.</li></ul><p>
Preferred</p><ul><li>
Experience building or leading a technology program.</li><li>
Familiarity with platforms such as Python, Scratch, Arduino, robotics kits, or similar tools.</li><li>
Experience with project-based or inquiry-based learning approaches.</li></ul><h2 class="jobSectionHeader"><b>
Experience and Skills
</b></h2><p>The ideal candidate will have:</p><p><b>
Experience</b></p><ul><li>
Experience as a technology and robotics teacher in ES/MS/HS.</li></ul><p><b>
Skills</b></p><ul><li>
Strong curriculum design and program development skills.</li><li>
Ability to translate complex concepts into engaging student experiences.</li><li>
Growth mindset and willingness to experiment and iterate.</li><li>
Excellent communication and collaboration skills.</li><li>
Strong classroom management and organizational skills.</li></ul><p><b>
Additional Responsibilities</b></p><ul><li>
Contribute to after-school programs such as robotics clubs or coding teams.</li><li>
Participate in school initiatives, committees, and community events.</li><li>
Support the school&rsquo;s mission and contribute to its culture.</li></ul>
<h3 class="jobSectionHeader"><b>JOB CODE: 05-2627-052</b></h3></div>

Technology Teacher

Explore 3104+ Senior learning development specialist in Saudi Arabia this May. Find roles across top companies and apply now to boost your career.

3104 senior learning development specialist jobs In Saudi Arabia

Senior Learning & Development Specialist

Senior Learning & Development Specialist

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Product Manager

Principal Specialist, Data Science & Analytics

Technology Teacher