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data ai consulting manager sr manager

YO IT CONSULTING

<div>Office location: Doha, Qatar
Candidate must be bilingual (Arabic &amp; English).
Overview
We are looking for an experienced Senior Data &amp; AI Consultant (8+ years) with strong expertise across the Data &amp; AI lifecycle&mdash;data strategy, architecture, engineering, governance, and AI/ML. The ideal candidate must be bilingual (Arabic &amp; English) and comfortable working in a client-facing consulting environment across multiple industries.
<h3 class="jobSectionHeader">Key Responsibilities</h3>
1. Data Strategy &amp; Advisory
<ul><li>Develop enterprise-wide Data &amp; AI strategies and transformation roadmaps.</li>
<li>Assess data maturity and recommend improvements.</li>
<li>Conduct CXO-level workshops to align business goals with Data &amp; AI initiatives.</li>
<li>Guide clients on responsible AI practices.</li>
</ul>2. Data Architecture &amp; Engineering
<ul><li>Design scalable data platforms on Microsoft Azure.</li>
<li>Develop data models and architect batch/real-time pipelines using ADF, Synapse, Databricks, etc.</li>
<li>Implement data quality, metadata, and lineage solutions (Azure Purview).</li>
<li>Partner with AI teams to ensure data readiness for ML/AI use cases.</li>
</ul>3. AI &amp; Advanced Analytics
<ul><li>Lead end-to-end AI/ML solution development on Azure ML, OpenAI, Cognitive Services.</li>
<li>Build ML &amp; Generative AI use cases and implement MLOps (CI/CD, monitoring).</li>
<li>Ensure Responsible AI (fairness, explainability, governance).</li>
<li>Collaborate on full AI pipeline&mdash;from data sourcing to deployment.</li>
</ul>4. Consulting, Pre-Sales &amp; Leadership
<ul><li>Lead client workshops, PoCs, demos, and pre-sales engagements.</li>
<li>Support proposal writing and solution design.</li>
<li>Contribute to thought leadership (blogs, whitepapers, events).</li>
<li>Mentor junior consultants and support delivery excellence.</li>
</ul><h3 class="jobSectionHeader">Qualifications</h3>
Education &amp; Experience
<ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Engineering, AI, or related field.</li>
<li>Total years of experience should be minimum 8+ years.</li>
<li>Relevant 5+ years in Data/AI consulting, architecture, or strategy roles.</li>
<li>Strong experience in the Azure ecosystem (Azure Data Factory, Synapse, Purview, Databricks).</li>
<li>Exposure to industries like Public Sector, BFSI, Oil &amp; Gas, Government, Healthcare, Utilities.</li></ul></div>

Data AI Consulting Manager/Sr Manager

hiringplug™

<div>
 
 Job Title:
 
 Senior Data &amp; AI Consultant
 
 
 (Senior Manager / Manager)
 
 
 
 
 
 
 
 
 About the Company &amp; the Role
 
 
 
 
 
 
 
 Our client is a leading
 
 Global Business Consulting firm
 
 with presence in many countries and domains. We are seeking a
 
 Senior Data &amp; AI Consultant
 
 (Manager/Sr. Manager Level) with 8&ndash;12 years ideally with
 
 Big 4 or top-tier consulting experience
 
 , with deep experience in
 
 Data Governance, Data Engineering, and AI/ML Engineering
 
 , with
 
 Microsoft Azure as a mandatory skillset
 
 .
 
 
 
 
 
 This is a
 
 client-facing consulting role
 
 requiring strong technical expertise, strategic advisory capabilities, and leadership presence. You will lead enterprise-level Data &amp; AI transformation programs across GCC markets.
 
 
 
 
 
 Location: The role is based in
 
 Doha, Qatar
 
 with travel across GCC (UAE, KSA) as required.
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 
 1. Data Strategy &amp; Advisory
 
 
 <ul>
 <li>
 Develop enterprise-wide
 
 Data &amp; AI strategies
 
 aligned with business priorities.
 </li>
 <li>
 Assess organizational maturity and design end-to-end transformation roadmaps.
 </li>
 <li>
 Advise on data lifecycle management and
 
 Responsible AI
 
 frameworks.
 </li>
 <li>
 Conduct CXO-level workshops and stakeholder alignment sessions.
 </li>
 </ul>
 
 
 2. Data Architecture &amp; Engineering (Azure-Focused)
 
 
 <ul>
 <li>
 Architect modern data platforms on
 
 Microsoft Azure
 
 with scalability, security, and compliance.
 </li>
 <li>
 Design conceptual/logical/physical data models for operational and analytical workloads.
 </li>
 <li>
 Build batch and real-time data pipelines using
 
 Azure Data Factory, Synapse, Databricks
 
 , etc.
 </li>
 <li>
 Implement governance frameworks including
 
 data quality, metadata, lineage
 
 (Azure Purview).
 </li>
 <li>
 Collaborate with AI teams to ensure robust data readiness for ML workloads.
 </li>
 </ul>
 
 
 3. AI, Machine Learning &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Lead full lifecycle AI/ML solution design and deployment.
 </li>
 <li>
 Build and operationalize ML &amp; Generative AI use cases using Azure ML, OpenAI, Cognitive Services.
 </li>
 <li>
 Implement
 
 MLOps
 
 for CI/CD, monitoring, and model lifecycle governance.
 </li>
 <li>
 Embed Responsible AI principles &mdash; fairness, explainability, transparency.
 </li>
 <li>
 Build end-to-end data-to-model pipelines in collaboration with engineering teams.
 </li>
 </ul>
 
 
 4. Consulting, Pre-Sales &amp; Thought Leadership
 
 
 <ul>
 <li>
 Lead client workshops, PoCs, and pre-sales engagements.
 </li>
 <li>
 Support proposals, solution demos, and value-based use case design.
 </li>
 <li>
 Contribute to thought leadership via whitepapers, blogs, and speaking engagements.
 </li>
 <li>
 Mentor junior team members and cultivate a culture of excellence.
 </li>
 </ul>
 
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Data Engineering, AI, Information Systems, or related fields.
 </li>
 <li>
 
 8&ndash;12 years
 
 in Data &amp; AI consulting, architecture, or strategy roles ideally with
 
 Big 4 or top-tier consulting
 
 experience.
 </li>
 <li>
 Strong working knowledge of
 
 Azure ecosystem
 
 (mandatory); familiarity with AWS/GCP is a plus.
 </li>
 <li>
 Experience across industries: Public Sector, FS, Oil &amp; Gas, Government, Healthcare, Utilities.
 </li>
 </ul>
 
 
 
 
 
 
 Technical Expertise
 
 
 
 
 
 
 
 
 A. Data Management
 
 
 <ul>
 <li>
 Azure Data Factory, Synapse Analytics, Data Lake/Delta Lake, Databricks, Event Hubs, Stream Analytics.
 </li>
 <li>
 SQL, Python, Spark.
 </li>
 <li>
 Data modeling (conceptual/logical/physical), ETL/ELT, Data Quality frameworks.
 </li>
 <li>
 Familiarity with Microsoft Fabric and open-source tools (Airflow, Kafka, Presto).
 </li>
 </ul>
 
 
 B. Data Governance &amp; Strategy
 
 
 <ul>
 <li>
 Knowledge of
 
 DAMA-DMBOK, CMMI-DMM
 
 or similar frameworks.
 </li>
 <li>
 Experience with Informatica Governance Suite (Axon, IDQ, EDC, IDMC).
 </li>
 <li>
 Understanding of global data privacy, data sovereignty, and GCC regulatory expectations.
 </li>
 <li>
 Ability to define governance operating models and stewardship frameworks.
 </li>
 </ul>
 
 
 C. AI/ML Engineering
 
 
 <ul>
 <li>
 Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
 </li>
 <li>
 Hands-on experience with
 
 Generative AI
 
 (LLMs, RAG, prompt engineering).
 </li>
 <li>
 Strong knowledge of
 
 MLOps
 
 and automated model lifecycle management.
 </li>
 <li>
 Experience in 3+ domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, Anomaly Detection.
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 <ul>
 <li>
 Exceptional client-facing communication and stakeholder management.
 </li>
 <li>
 Ability to translate complex technical concepts into business value.
 </li>
 <li>
 Experience in pre-sales, proposals, and workshops.
 </li>
 <li>
 Strong leadership, mentoring, and delivery management capabilities.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 Microsoft Certified
 </li>
 <li>
 Azure Data Engineer Associate
 </li>
 <li>
 Azure AI Engineer Associate
 </li>
 <li>
 Azure Solutions Architect
 </li>
 <li>
 DAMA CDMP or equivalent certification
 </li>
 </ul>
 
 
</div>

Senior Data Consultant

About BCS Technologies LLC: BCS Technologies LLC has been a trusted provider of next-generation enterprise AI and IT solutions in the UAE for over 15 years, specializing in Cybersecurity, Artificial Intelligence Infrastructure, Cloud Transformation, and Digital Modernization.We are looking for an experienced and driven Enterprise Senior Sales Account Manager to join our Doha, Qatar team. This is a key role focused on helping organizations secure their digital assets and adopt next-generation cybersecurity and intelligent infrastructure solutions.About the Role:This position will be based in Doha, Qatar, focusing on identifying, developing, and closing high-value enterprise opportunities in:<ul><li>Enterprise Cybersecurity: Zero Trust Architecture, Endpoint Detection &amp; Response (EDR/XDR), SIEM, IAM, DLP, Cloud Security Platforms, and security modernization initiatives.</li><li>AI Infrastructure: HPC clusters, GPU-powered AI/ML servers, hybrid cloud environments, data lake infrastructure, and AI-ready storage solutions.</li></ul>You will work closely with CIOs, CISOs, Data Officers, and Cloud Architects to assess security posture, compliance needs, AI readiness, and technical architecture&mdash;then map those to tailored BCS solution offerings.Key Responsibilities:<ul><li>Develop and execute go-to-market strategies for enterprise cybersecurity and AI infrastructure portfolios.</li><li>Manage full-cycle enterprise sales: prospecting, solution consulting, stakeholder engagement, proposal management, and contract closure.</li><li>Present technical and commercial solutions clearly to both technical and business stakeholders.</li><li>Work with presales and solution architects to develop demos, POCs, and proposals.</li><li>Build long-term relationships with enterprise and public sector customers across Qatar.</li><li>Lead strategic account planning and ensure consistent revenue growth across key enterprise accounts.</li></ul>Candidate Profile:<ul><li>Experience required: Strong background in Enterprise Cybersecurity Sales or IT Infrastructure Sales.</li><li>Knowledge of enterprise security frameworks (NIST, ISO 27001, MITRE ATT&amp;CK, etc.).</li><li>Familiarity with cybersecurity tools and platforms such as Palo Alto, Fortinet, CrowdStrike, SIEM solutions, EDR/XDR, IAM, DLP, or equivalent.</li><li>Understanding of AI infrastructure and modern data platform requirements is a plus.</li><li>Demonstrated success in closing large enterprise deals and achieving revenue targets.</li><li>Strong client management, communication, and negotiation skills.</li><li>Arabic proficiency is a plus.</li><li>Valid Qatar driving license is preferred (or willingness to obtain one).</li></ul>Why Join BCS Technologies?<ul><li>A 15-year legacy delivering enterprise IT and cybersecurity solutions in the Middle East.</li><li>Competitive compensation and uncapped incentives.</li><li>Opportunity to work with cutting-edge security and AI technologies.</li><li>Supportive, growth-oriented culture focused on innovation.</li><li>Exposure to mission-critical digital transformation projects in Qatar.</li></ul>Job Type: Full-timePay: From QAR6,000.00 per monthApplication Deadline: 26/11/2025 Expected Start Date: 01/12/2025

ENTERPRISE AI CYBERSECURITY & IT INFRA SENIOR SALES ACCOUNT MANAGER

Protiviti Middle East Member Firm

<div>
 
 
 Overview:
 
 
 
 We are seeking a Senior Data &amp; AI Consultant with 5+ years of experience spanning data architecture, data governance, and AI/ML solution development.
 
 
 
 
 
 The ideal candidate should have broad exposure across the Data &amp; AI lifecycle - from data strategy and governance to architecture, engineering, and advanced analytics - while specializing in at least one of the following areas: (1) Data Strategy &amp; Governance, or (2) Data Management, or (3) Data Science/AI/ML Engineering. Candidate should be bilingual with full proficiency in Arabic and English.
 
 
 
 
 This role requires strong technical depth, consulting acumen, and client-facing communication skills. The consultant will work with diverse clients across industries, driving enterprise data and AI transformation programs. The role is based in Doha, with travel expected to other Middle Eastern client locations as required.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 1. Data Strategy &amp; Advisory
 
 
 <ul>
 <li>
 Develop and implement enterprise-wide data and AI strategies aligned with business goals.
 </li>
 <li>
 Assess organizational data &amp; AI maturity and define transformation roadmaps.
 </li>
 <li>
 Advise clients on data lifecycle management, and responsible AI adoption.
 </li>
 <li>
 Conduct workshops with CXOs and business leaders to align business priorities with data &amp; AI initiatives.
 </li>
 </ul>
 
 
 
 
 
 2. Data Architecture &amp; Engineering
 
 
 <ul>
 <li>
 Design and implement modern data platforms on Microsoft Azure, ensuring scalability, performance, and compliance.
 </li>
 <li>
 Develop conceptual, logical, and physical data models for operational and analytical use cases.
 </li>
 <li>
 Architect data pipelines for batch and real-time ingestion using Azure Data Factory, Synapse, Databricks, and related tools.
 </li>
 <li>
 Implement data quality, metadata management, and lineage tracking leveraging Azure Purview or equivalent governance tools.
 </li>
 <li>
 Collaborate with AI teams to enable data readiness for AI/ML workloads and ensure seamless integration across the ecosystem.
 </li>
 </ul>
 
 
 
 
 
 3. AI &amp; Advanced Analytics
 
 
 <ul>
 <li>
 Lead AI/ML solution design and deployment, translating business problems into technical AI solutions.
 </li>
 <li>
 Build and operationalize machine learning and Generative AI use cases on Azure (e.g., Azure Machine Learning, OpenAI, Cognitive Services).
 </li>
 <li>
 Implement MLOps practices for CI/CD, model monitoring, and lifecycle management.
 </li>
 <li>
 Ensure Responsible AI practices are embedded - fairness, explainability, transparency, and ethical governance.
 </li>
 <li>
 Collaborate with data teams to develop end-to-end AI pipelines, from data sourcing to model deployment.
 </li>
 </ul>
 
 
 
 
 
 4. Consulting, Pre-Sales &amp; Thought Leadership
 
 
 <ul>
 <li>
 Lead client workshops, PoCs, and pre-sales solutioning across Data and AI engagements.
 </li>
 <li>
 Support proposal development, client demos, and design of value-driven use cases.
 </li>
 <li>
 Contribute to thought leadership through whitepapers, blogs, and conference presentations.
 </li>
 <li>
 Mentor junior consultants and foster a culture of learning and innovation.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Engineering, AI, or Information Systems.
 
 
 5+ years of experience in data &amp; AI consulting, architecture, or strategy roles.
 
 
 Experience working with Azure ecosystem and familiarity with one or more of: AWS, GCP.
 
 
 Experience across multiple industries such as Public Sector, Financial Services, Oil &amp; Gas, Government, Healthcare, and Utilities.
 
 
 
 
 
 
 Technical Expertise (Candidates should have expertise in one or more domains)
 
 
 
 
 
 
 
 A. Data Management
 
 
 <ul>
 <li>
 Azure Data Factory, Synapse Analytics, Data Lake, Delta Lake, Databricks, Event Hubs, Stream Analytics.
 </li>
 <li>
 Proficiency in SQL, Python, and Spark.
 </li>
 <li>
 Data Modeling (Conceptual, Logical, Physical), ETL/ELT, Data Quality frameworks.
 </li>
 <li>
 Familiarity with MS Fabric and open-source technologies (Airflow, Kafka, Presto).
 </li>
 </ul>
 
 
 
 
 
 B. Data Governance &amp; Strategy
 
 
 <ul>
 <li>
 Knowledge of DAMA-DMBOK, CMMI-DMM, or equivalent maturity models.
 </li>
 <li>
 Experience with Informatica Data Governance Suite of Solutions (Axon, IDQ, EDC, IDMC).
 </li>
 <li>
 Understanding of global data privacy and sovereignty laws.
 </li>
 <li>
 Ability to define data governance operating models and stewardship structures.
 </li>
 </ul>
 
 
 
 
 
 C. AI/ML Engineering
 
 
 <ul>
 <li>
 Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or Azure ML.
 </li>
 <li>
 Hands-on experience with Generative AI (LLMs, RAG, Prompt Engineering).
 </li>
 <li>
 Strong understanding of MLOps pipelines and model lifecycle automation.
 </li>
 <li>
 Experience in at least three AI domains: NLP, Predictive Modeling, Computer Vision, Recommender Systems, or Anomaly Detection.
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 
 
 
 
 Strong client-facing communication and stakeholder management.
 
 
 Ability to translate technical insights into business outcomes.
 
 
 Experience in pre-sales engagements, proposals, and workshops.
 
 
 Leadership in mentoring teams and driving delivery excellence.
 
 
 
 
 
 
 Certifications (Preferred)
 
 
 
 Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect / Azure AI Engineer Associate.
 
 
 DAMA Certified Data Management Professional (CDMP) or equivalent.
 
 
 
 
 
 
 Location &amp; Travel
 
 
 
 Based in Doha, with travel to GCC (UAE, KSA) client locations as required.
 
</div>

Manager/ Senior Manager - Senior Data & AI Consultant - (Arabic Speaker)

<div>
 
 
 Data Scientist / AI Engineer (Bilingual &ndash; English and Arabic Full Proficiency)
 
 
 
 
 
 
 We are seeking an experienced Data Scientist / AI Engineer (4+ years overall experience) (Bilingual &ndash; Arabic &amp; English proficient) with deep hands-on expertise in designing and deploying Generative AI (GenAI) and Retrieval-Augmented Generation (RAG) solutions on Microsoft Azure.
 
 
 
 
 
 The ideal candidate will have prior experience developing Chat-with-Documents or internal enterprise LLM based assistants using Azure OpenAI Service, Cognitive Search, and Azure Machine Learning, ideally within regulated or enterprise environments.
 
 
 
 
 
 The role involves building and optimizing GenAI-powered internal chatbots that enable employees to query organizational documents, policies, and knowledge bases through natural language queries.
 
 
 
 
 
 This position is based in Doha, with occasional travel to other Middle East client locations as required.
 
 
 
 
 
 
 Responsibilities
 
 
 <ol>
 <li>
 Design and implement GenAI and RAG-based chatbots using Azure OpenAI, Cognitive Search, and Azure ML.
 </li>
 <li>
 Build document ingestion, embedding, and retrieval pipelines for enterprise knowledge sources.
 </li>
 <li>
 Prepare and process multilingual (English&ndash;Arabic) data ensuring quality and semantic accuracy.
 </li>
 <li>
 Deploy and manage AI solutions.
 </li>
 <li>
 Evaluate model accuracy, latency, and hallucination rates with ongoing monitoring.
 </li>
 <li>
 Ensure compliance with Responsible AI and data privacy frameworks.
 </li>
 <li>
 Collaborate with business and IT teams to align solutions with real use cases.
 </li>
 <li>
 Support Presales activities &ndash; Develop point of view and thought leadership documentations, Develop quick AI prototypes, proof-of-concepts (PoCs), and client demos to support business development and pre-sales efforts.
 </li>
 <li>
 Translate complex AI concepts into actionable insights for business leaders and non-technical stakeholders.
 </li>
 <li>
 Team Mentorship &amp; Knowledge Sharing - Mentor and guide junior data scientists, fostering a culture of technical excellence and continuous learning.
 </li>
 </ol>
 
 
 
 
 
 Qualifications
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, or a related field.
 </li>
 <li>
 4+ years of experience in AI/ML, with a strong consulting background
 </li>
 <li>
 Proven experience of implementing at least one LLM based solution
 </li>
 <li>
 Must have worked on at least one of the the following use cases types &ndash; Predictive Modeling &amp; Classification , Simulation &amp; Optimization , Recommender Systems , Time Series Forecasting
 </li>
 <li>
 Proven track record in deploying AI solutions on Microsoft Azure
 </li>
 <li>
 Must be bilingual (Arabic and English language proficiency)
 </li>
 </ul>
 
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 Strong programming skills in Python, and SQL, with expertise in ML frameworks like TensorFlow, PyTorch, and Scikit-Learn.
 </li>
 <li>
 Proficiency in designing end-to-end AI pipelines, integrating ML Models with data sources, business applications; MLOps implementation, including automated model deployment, CI/CD, &amp; monitoring strategies.
 </li>
 <li>
 Hands-on experience in Responsible AI implementation, ensuring fairness, explainability, and ethical AI governance.
 </li>
 </ul>
 
 
 
 
 
 Preferred Industry Experience
 
 
 <ul>
 <li>
 Prior experience in AI implementation within at least one of the following sectors: Financial Services (Preferred) , Oil &amp; Gas , Manufacturing, Government/Citizen Services , Energy &amp; Utilities, Telecom
 </li>
 </ul>
 
 
 
 
 
 Consulting &amp; Leadership Skills
 
 
 <ul>
 <li>
 Strong stakeholder management and client engagement skills, with experience in working on AI consulting projects.
 </li>
 <li>
 Pre-sales experience with the ability to build quick PoCs, AI demos, and support business development efforts.
 </li>
 </ul>
 
 
</div>

Data Scientist / AI Engineer - Consultant to Senior Consultant (Arabic Speaker)

Alchemy Global Talent Solutions

<div>
 
 Our client is looking for an experienced Research and Strategy Manager to support the development of its award-winning onboard experience through insight-led planning, product innovation, and strategic alignment. Based in Doha, this role is ideal for candidates with a background in consulting, insights, or premium travel industries&mdash;particularly those experienced in benchmarking, customer analysis, and concept-to-execution research. You'll shape the future of inflight product innovation through detailed market intelligence and structured strategic recommendations.
 
 
 
 
 
 
 What You&rsquo;ll Be Doing:
 
 
 
 Lead strategic research initiatives including voice-of-customer programmes, competitive benchmarking, and macro-environmental scanning to support product innovation.
 
 
 Translate data and insights into actionable strategies and structured recommendations aligned with long-term vision and commercial objectives.
 
 
 Collaborate with senior leadership (SVP/VP) to inform product planning, cost justifications, and opportunity prioritisation across multiple domains.
 
 
 Create detailed business cases for new cabin products, IFE/connectivity upgrades, seating innovations and onboard service initiatives.
 
 
 Utilise financial modelling and ROI analysis to support investment decisions and roadmap planning.
 
 
 Monitor consumer and technology trends across aviation, hospitality, luxury travel and lifestyle sectors to guide product direction.
 
 
 Manage passenger research (quantitative/qualitative) and develop robust market and trend analysis frameworks.
 
 
 Lead or support process improvement initiatives including SOP development, KPI design, and efficiency enhancements.
 
 
 Maintain and update competitor intelligence tools, dashboards and insight platforms to support strategic reviews.
 
 
 Drive the use of AI tools and large-scale data analytics to uncover deeper insights and trend signals.
 
 
 Prepare high-quality strategic presentations, reports and dashboards for senior leadership and executive steering committees.
 
 
 Contribute to the delivery of customer experience transformation projects through structured, insight-led contributions.
 
 
 
 
 
 
 Required Qualifications, Skills &amp; Experience:
 
 
 
 Bachelor&rsquo;s or Masters&rsquo; degree in Business, Strategy, Aviation, or related field.
 
 
 Minimum 7 years&rsquo; experience in strategy, product insights, research, or consulting&mdash;preferably in aviation, travel, hospitality, or luxury sectors.
 
 
 Experience with Lean Six Sigma, process improvement, or KPI framework design (Green Belt or above preferred).
 
 
 Proficiency in customer and competitor intelligence, with a strong understanding of global consumer behaviours and trends.
 
 
 Skilled in financial modelling, business case development, and data storytelling for senior audiences.
 
 
 Strong analytical mindset with the ability to operate across ambiguity and drive clarity through structured insight.
 
 
 Excellent communication skills&mdash;verbal, written, and visual&mdash;able to influence stakeholders with high-impact presentations.
 
 
 Advanced user of MS Excel and PowerPoint, ideally with dashboarding and reporting experience.
 
 
 Applicants must be willing to relocate to Qatar.
 
 
 
 
 
 Interested? Reach out to Alchemy Global Talent Solutions today.
 
 
 
</div>

Research and Strategy Manager

Scale AI

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
 <div><h3 class="jobSectionHeader">About the team:</h3>
<div>
Scale is growing rapidly, and joining the International Public Sector team is an opportunity to work on 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 AI applications for government</li>
<li>Providing high-quality training data for research institutions building LLMs from scratch</li>
<li>Partnerships, upskilling, and advisory</li>
</ul><h3 class="jobSectionHeader">About the role:</h3>
<div>
As the Engagement Manager, you will be responsible for establishing deep customer and prospect relationships, proactively identifying opportunities where Scale can build custom AI applications to improve lives for citizens and residents, overseeing the execution to ensure timelines are met and/or communicated effectively, interfacing with premier research institutions to discuss how Scale can best support them, and partnering with organizations who are looking to train and educate people on how to use AI, AI safety, and more.</div>
<div>
You and your team will work closely with the business development and go-to-market team, the product and engineering execution teams, and various customers and prospects to ensure success.</div>
<div>
The ideal candidate has a nose for value and opportunity, is highly personable and can build relationships with all types of stakeholders, is an excellent communicator, is highly organized, and has a demonstrated track record of high-achievement. They are naturally empathetic and excel at building long-term relationships through diligent problem-solving and thoughtful, strategic discussions.</div>
<div>
The blend of customer engagement, operations, and business development to drive our most important outcomes makes this a unique and exciting role at the heart of one of Scale's most exciting growth businesses.</div>
<div>
In the near term, the team will be based out of the Middle East and looking to meaningfully grow its presence in the region.</div>
<h3 class="jobSectionHeader">
You will:</h3>
<ul><li>Drive the process of identifying high-value use cases for custom LLMs that Scale can build within government entities</li>
<li>Partner with clients to understand their most pressing problems and brainstorm how Scale can best help</li>
<li>Manage the long-term health of clients by identifying and preempting areas of risk or concern</li>
<li>Be the main point-of-contact for clients if they have any questions, issues, or concerns and triage accordingly</li>
<li>Collaborate with the operational and engineering execution teams to track delivery and timelines</li>
<li>Review, track and improve operational performances and be obsessed with continuous improvement</li>
<li>Brainstorm with premier research institutions building Arabic LLMs how Scale can best support and/or ideas they should consider testing</li>
<li>Have proficiency in reading, writing, and speaking in Arabic</li>
</ul><h3 class="jobSectionHeader">Ideally you'd have:</h3>
<ul><li>4+ years of total work experience, with experience in consulting or as a technical program management role in industry</li>
<li>Experience at a Big 3 Consulting Firm or a leading tech company</li>
<li>A proven track record in B2B client facing roles and expanding client relationships</li>
<li>Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers</li>
<li>Great cross-functional experience and collaborative ability</li>
<li>Excellent verbal and written communications</li>
<li>A track record of structured, analytics-driven problem solving</li>
<li>A history of diligence and organization across multiple work streams</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><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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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>

Engagement Manager, International Public Sector

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