it manager

bim manager

operations manager

project coordinator

project manager

international project manager

Doha Petroleum Construction Co. W.L.L

<div>
 
 
 About the Company
 
 : Doha Petroleum is looking for a highly experienced and result-driven Project Manager to oversee the planning and execution of key EPC projects in the Oil &amp; Gas sector specialized in Offshore. The successful candidate will lead cross-functional teams, manage client interfaces, and ensure timely and cost-effective project delivery in compliance with quality and HSE standards.
 
 
 
 
 
 
 About the Role
 
 : The Project Manager will be responsible for leading and managing the full lifecycle of EPC projects, ensuring alignment with contractual deadlines and compliance with HSE, QA/QC, and company procedures.
 
 
 
 
 
 
 Responsibilities
 
 :
 
 <ul>
 <li>
 Lead and manage the full lifecycle of EPC projects&mdash;from engineering through procurement, construction, and commissioning to final handover.
 </li>
 <li>
 Serve as the primary point of contact for clients, consultants, and subcontractors.
 </li>
 <li>
 Develop and monitor project schedules (Primavera P6/MS Project) and ensure alignment with contractual deadlines.
 </li>
 <li>
 Manage project budgets, monitor expenditures, handle variations and change orders.
 </li>
 <li>
 Coordinate across departments to ensure engineering, procurement, and site execution remain on track.
 </li>
 <li>
 Ensure compliance with HSE, QA/QC, and company procedures.
 </li>
 <li>
 Lead site teams for both onshore and offshore projects, including shutdowns and brownfield works.
 </li>
 <li>
 Provide regular progress reports and updates to senior management and clients.
 </li>
 <li>
 Identify risks early and implement mitigation plans to maintain project continuity.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 :
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Mechanical or Electrical Engineering (or equivalent).
 </li>
 <li>
 15&ndash;20 years of experience in EPC project management within the Oil &amp; Gas industry.
 </li>
 <li>
 Strong track record delivering high-value projects for major operators (e.g., ADNOC, Aramco, QP, Shell).
 </li>
 <li>
 Experienced in managing multi-discipline teams across engineering, fabrication, and construction.
 </li>
 <li>
 Proficient in Primavera P6, MS Project, and other project control tools.
 </li>
 <li>
 PMP certification is preferred.
 </li>
 <li>
 Strong leadership, organizational, and communication skills.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 :
 
 <ul>
 <li>
 Project execution &amp; cost control
 </li>
 <li>
 Contractual and commercial management
 </li>
 <li>
 Team leadership &amp; resource planning
 </li>
 <li>
 Client and stakeholder engagement
 </li>
 <li>
 HSE and quality assurance compliance
 </li>
 </ul>
 
 
</div>

Offshore Project Manager

Scale AI

<div>
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 Our
 
 Scale Generative AI Platform (SGP)
 
 powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications move from prototype to production, we are investing heavily in the core platform that enables this scale.
 
 
 We are looking for a
 
 technical and strategic Engineering Manager
 
 to lead our
 
 Engineering
 
 efforts Internationally to power custom applications we build for our public sector clients.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 You will:
 
 
 <ul>
 <li>
 Manage the engineering team and drive technical delivery.
 </li>
 <li>
 Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation.
 </li>
 <li>
 Comfortable working cross functionally, whether that be internal or external customers
 </li>
 <li>
 Work across the entire product lifecycle from conceptualization through production
 </li>
 <li>
 Build features end-to-end, system design, debugging and testing
 </li>
 <li>
 Deliver experiments at a high velocity and level of quality to engage our customers
 </li>
 <li>
 Influence the culture, values, and processes of a growing engineering team
 </li>
 <li>
 Inspire and mentor engineers.
 </li>
 <li>
 Collaborating with cross-functional teams to define, design, and ship new product features and experiences
 
 
 </li>
 </ul>
 Ideally you&rsquo;d have:
 
 
 <ul>
 <li>
 At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred
 </li>
 <li>
 Proven success in leading, managing, and developing high-performing Engineering teams
 </li>
 <li>
 Expertise in identifying product engagement patterns and trends for large scale consumer products
 </li>
 <li>
 Track record of shipping high-quality products and features at scale
 </li>
 <li>
 Desire to work in a very fast-paced environment
 </li>
 <li>
 Ability to turn business and product ideas into engineering solutions
 </li>
 <li>
 Excellent problem-solving skills, and be able to work independently or as part of a team
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Engineering Manager, International Public Sector

<div>
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 We are hiring a Machine Learning Engineer Manager who will manage a team of high-calibre MLEs who design, train, deploy, and evaluate computer vision and/or LLMs to power custom applications we build for our public sector clients. You will guide your team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 You will:
 
 
 <ul>
 <li>
 Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
 </li>
 <li>
 Manage a team of ML Engineers
 </li>
 <li>
 Work with product and research teams to identify opportunities for ongoing and upcoming services.
 </li>
 <li>
 Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
 </li>
 <li>
 Create state of the art techniques to integrate tool-calling into production-serving LLMs.
 </li>
 <li>
 Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.
 
 
 </li>
 </ul>
 Ideally you&rsquo;d have:
 
 
 <ul>
 <li>
 At least 5 years of model training, deployment and maintenance experience in a production environment
 </li>
 <li>
 At least 5+ years of management or tech leadership experience
 </li>
 <li>
 Strong skills in NLP, LLMs and deep learning
 </li>
 <li>
 Solid background in algorithms, data structures, and object-oriented programming
 </li>
 <li>
 Experience working with a cloud technology stack (eg. AWS, GCP, or Azure) and developing machine learning models in a cloud environment
 </li>
 <li>
 Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross functional team environment
 
 
 </li>
 </ul>
 Nice to haves:
 
 
 <ul>
 <li>
 Experience in dealing with large scale AI problems, ideally in the generative-AI field
 </li>
 <li>
 Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.
 </li>
 <li>
 Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals
 </li>
 <li>
 Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.
 </li>
 <li>
 Fluent in Arabic
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Machine Learning Engineering Manager, International Public Sector

Swan Global WLL

Risk Manager Project : Roads Operations &amp; Maintenance (O&amp;M)To identify, assess, and mitigate risks impacting the road O&amp;M project&rsquo;s performance, budget, and reputation, ensuring compliance with international risk management standards (ISO 31000). The role focuses on desert-environment challenges, oilfield proximity, and contractual penalties under performance-based contracts.Key Responsibilities:1. Risk Identification &amp; Assessment&middot; Conduct weekly risk audits for:o Desert-specific hazards (sandstorms, extreme heat, remote work locations).o Road O&amp;M risks (pavement failures, drainage blockages, traffic diversions).o Contractual risks (penalties for missed KPIs, stakeholder disputes).&middot; Use quantitative tools (e.g., FMEA, Monte Carlo simulations) to prioritize risks.2. Mitigation Strategies&middot; Develop action plans for high-impact risks&middot; Coordinate with:o HSE Manager for safety-related risks.o Traffic Ops Manager for incident-driven traffic disruptions.o Planning Engineer for schedule delays.3. Contract &amp; Compliance Risks&middot; Monitor performance-based contract clauses&middot; Ensure insurance policies cover project risks (e.g., third-party liability, equipment damage).4. Reporting &amp; Stakeholder Communication&middot; Submit monthly risk dashboards&middot; Top 10 risks (likelihood/impact matrix).&middot; Mitigation progress (RAG status: Red/Amber/Green).&middot; Lead risk workshopsMandatory Requirements:Education:&middot; Bachelor&rsquo;s in Civil, Mechanical or Environmental Engineering, or Risk Management (WHED-recognized).&middot; Master&rsquo;s/MBA (preferred for P3 level).&middot; Certifications:&middot; Certified Risk Manager (CRM) or PMI-RMP.&middot; ISO 31000 Lead Risk Manager (preferred).&middot; Experience:&middot; 15+ years total, with 5+ years in risk management for roads/oil &amp; gas projects.&middot; International experience outside MENA (e.g., UK/Australia for desert highways).&middot; Technical Skills:&middot; Proficiency in risk software (e.g., @RISK, PertMaster).&middot; Soft Skills:&middot; Fluency in English (Arabic a plus).&middot; Crisis management for remote-project escalations.Job Type: Full-timeApplication Question(s):<ul><li>Do you have international project experience outside MENA (e.g., UK/Australia for desert highways).</li><li>How many years risk management for roads/oil &amp; gas projects</li></ul>

Risk Manager

<div>
 Scale&rsquo;s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for national LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we&rsquo;d love to hear from you.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
 </li>
 <li>
 Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
 </li>
 <li>
 Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
 </li>
 <li>
 Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
 </li>
 <li>
 Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
 </li>
 <li>
 Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
 
 
 </li>
 </ul>
 
 Ideally you&rsquo;d have:
 
 
 
 <ul>
 <li>
 A strong engineering background, with a Bachelor&rsquo;s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
 </li>
 <li>
 3+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, Java, C++, or TypeScript/JavaScript
 </li>
 <li>
 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
 </li>
 <li>
 Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
 </li>
 <li>
 Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
 </li>
 <li>
 Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment
 
 
 </li>
 </ul>
 
 Nice to haves:
 
 
 
 <ul>
 <li>
 Experience working at a startup, particularly as founding engineer
 </li>
 <li>
 Experience building and deploying large-scale AI solutions
 </li>
 <li>
 Strong written and verbal communication skills to operate in a cross-functional team environment
 </li>
 <li>
 Proficiency in Arabic (if focused on language models)
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Applied AI Engineer, International Public Sector

<div><div>Scale is growing rapidly and joining the International Public Sector team is an opportunity to join one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale&rsquo;s work outside of the United States. There are three core types of work involved:</div>
<ul>
<li>Building custom LLMs</li>
<li>Providing high-quality training data for research institutions building LLMs from scratch</li>
<li>Partnerships, up skilling, and advisor</li>
</ul>
<div>As an early member of our operations team, you will be accountable for driving millions in new revenue by ensuring that Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards. You will be leading the development of some of our custom LLM solutions or leading data production initiatives for premier research institutions in the Middle East. You will be solving complex operational problems and working cross functionally with our engineering teams, government stakeholders, and product orgs, to ensure high quality. The ideal candidate is scrappy, analytical, detail-oriented, empathetic, outcome-focused, a strong writer, and above all someone who drives and inspires results.</div>
<div>
You will:</div>
<ul>
<li>Work on cross-functional development of custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)</li>
<li>Consistently read AI/ML research papers to keep up-to-date on the best approaches for customizing / training LLMs</li>
<li>Work on fine-tuning (post-training) data production pipelines to improve the custom LLM solutions as needed</li>
<li>Work on the continuous evaluation of custom LLMs</li>
<li>Drive the technical and operational partnership with research institutions</li>
<li>Have native fluency in Arabic and English</li>
<li>Build and drive some of our most critical operational processes</li>
<li>Own the day-to-day delivery of customer commitments</li>
</ul>
<div>Ideally, you&rsquo;d have:</div>
<ul>
<li>2+ in an operational role and/or a top-tier consulting firm</li>
<li>An undergraduate degree in computer science, business, engineering, systems, finance, logistics, communications, journalism, or a related field</li>
<li>Strong attention to detail</li>
<li>Strong writing and verbal communication skills, with an emphasis on grammar, proofreading and copy editing</li>
<li>An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results</li>
<li>Analytical, planning, and process improvement capability</li>
</ul>
<div>Nice to haves:</div>
<ul>
<li>Hands-on experience in machine learning, especially in NLP (during a previous role or in school)</li>
<li>Technical skills including familiarity with APIs, large language models, machine learning, and advanced querying languages</li>
<li>Ability to use SQL, Python, or other data analysis tools</li>
<li>Entrepreneurial experience and mindset - you are excited about building things from scratch</li>
</ul><div><div>
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</div>
<div>
About Us:</div>
<div>
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.</div>
<div>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</div>
<div>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.</div>
<div>
We comply with the United States Department of Labor's Pay Transparency provision.</div>
<div>
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.</div></div></div>

AI Strategic Projects Lead, International Public Sector

Swan Global

<div>
 
 
 Risk Manager
 
 
 
 
 
 
 Project: Roads Operations &amp; Maintenance (O&amp;M)
 
 
 Job Purpose:
 
 
 To identify, assess, and mitigate risks impacting the road O&amp;M project&rsquo;s performance, budget, and reputation, ensuring compliance with international risk management standards (ISO 31000). The role focuses on desert-environment challenges, oilfield proximity, and contractual penalties under performance-based contracts.
 
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in Civil, Mechanical or Environmental Engineering, or Risk Management (WHED-recognized).
 </li>
 <li>
 Master&rsquo;s/MBA (preferred )
 </li>
 </ul>
 
 
 Certifications:
 
 
 <ul>
 <li>
 Certified Risk Manager (CRM) or PMI-RMP.
 </li>
 <li>
 ISO 31000 Lead Risk Manager (preferred).
 </li>
 </ul>
 
 
 &middot; Experience:
 
 
 <ul>
 <li>
 15+ years total, with 5+ years in risk management for roads/oil &amp; gas projects.
 </li>
 <li>
 International experience outside MENA (e.g., UK/Australia for desert highways).
 </li>
 </ul>
 
 
 &middot; Technical Skills:
 
 
 <ul>
 <li>
 Proficiency in risk software (e.g., @RISK, PertMaster).
 </li>
 <li>
 Knowledge of Qatar&rsquo;s MOMRA road standards and FIDIC contracts.[ Preferred ]
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1
 
 . Risk Identification &amp; Assessment
 
 
 
 Conduct weekly risk audits for:
 
 <ul>
 <li>
 Desert-specific hazards (sandstorms, extreme heat, remote work locations).
 </li>
 <li>
 Road O&amp;M risks (pavement failures, drainage blockages, traffic diversions).
 </li>
 <li>
 Contractual risks (penalties for missed KPIs, stakeholder disputes).
 </li>
 <li>
 &middot;Use quantitative tools (e.g., FMEA, Monte Carlo simulations) to prioritize risks.
 </li>
 </ul>
 
 
 2. Mitigation Strategies
 
 
 
 Develop action plans for high-impact risks (e.g., emergency response for oil spills near Field).
 
 
 Coordinate with:
 
 <ul>
 <li>
 HSE Manager for safety-related risks.
 </li>
 <li>
 Traffic Ops Manager for incident-driven traffic disruptions.
 </li>
 <li>
 Planning Engineer for schedule delays.
 </li>
 </ul>
 
 3.
 
 Contract &amp; Compliance Risks
 
 
 <ul>
 <li>
 Monitor performance-based contract clauses
 </li>
 <li>
 Ensure insurance policies cover project risks (e.g., third-party liability, equipment damage).
 </li>
 </ul>
 
 4. Reporting &amp; Stakeholder Communication
 
 <ul>
 <li>
 Submit monthly risk dashboards to with:
 </li>
 <li>
 Top 10 risks (likelihood/impact matrix).
 </li>
 <li>
 Mitigation progress (RAG status: Red/Amber/Green).
 </li>
 <li>
 Lead risk workshops with subcontractors
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 :
 
 <ul>
 <li>
 Fluency in English (Arabic a plus).
 </li>
 </ul>
 
 Crisis management for remote-project escalations
 
</div>

Explore 1745+ International project manager in Doha this September. Find roles across top companies and apply now to boost your career.

1745 international project manager jobs IN Doha

Offshore Project Manager

Engineering Manager, International Public Sector

Machine Learning Engineering Manager, International Public Sector

Risk Manager

Applied AI Engineer, International Public Sector

AI Strategic Projects Lead, International Public Sector

Risk Manager