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lead of ops and eng applications

ai automation lead engineer

TechPreneur

<div>
 
 
 Mission:
 
 Lead the design and development of custom AI and automation solutions for TechPreneur&rsquo;s clients, turning real business processes into reliable, production-ready intelligent workflows.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 &bull; Work with the founder and clients to understand problems and design AI-driven solutions.
 
 
 &bull; Architect and build LLM-based workflows, agents and tools to automate internal and client processes.
 
 
 &bull; Develop and maintain integrations with platforms such as Microsoft 365, LMS/CRM/ERP systems and other enterprise tools.
 
 
 &bull; Own the end-to-end lifecycle of AI solutions: prototyping, implementation, testing, deployment and monitoring.
 
 
 &bull; Define technical standards, best practices and reusable components for future projects.
 
 
 &bull; Collaborate with product, delivery and customer success to support pilots, demos and production roll-outs.
 
 
 
 
 
 
 Skills &amp; Experience:
 
 
 
 &bull; Strong software engineering background in Python and/or Node.js/TypeScript.
 
 
 &bull; Hands-on experience with LLMs and generative AI (prompt design, RAG, basic fine-tuning, evaluation).
 
 
 &bull; Proven experience building APIs, webhooks and SaaS integrations, ideally with Microsoft 365 or similar ecosystems.
 
 
 &bull; Solid understanding of cloud platforms, security and data-privacy considerations.
 
 
 &bull; Ability to translate non-technical requirements into clear technical designs and deliverables.
 
 
 
 
 
 
 Mindset:
 
 
 
 &bull; Startup-oriented: comfortable owning problems end-to-end and moving from idea to prototype quickly.
 
 
 &bull; Product thinking: designs solutions that can be reused and scaled across multiple clients.
 
 
 &bull; Strong communicator, able to work directly with business stakeholders and explain AI in simple terms.
 
</div>

AI & Automation Lead Engineer

RITS

LLM &amp; Multi-Agent Solutions EngineerRole Summary: Build intelligent AI solutions using Large Language Models (LLMs) and multi-agent frameworks for automation, reasoning, and advanced workflows.Key Responsibilities:<ul><li>Develop LLM-powered applications using GPT, Llama, Claude, or similar.</li><li>Build multi-agent systems using LangChain, AutoGen, or custom frameworks.</li><li>Integrate LLMs with external tools, APIs, and enterprise systems.</li><li>Optimize prompts, fine-tune models, and manage vector databases.</li><li>Ensure security, compliance, and performance of AI pipelines.</li></ul>Requirements:<ul><li>Strong experience in generative AI, LLMs, and prompt engineering.</li><li>Familiarity with LangChain, LlamaIndex, AutoGen, or similar frameworks.</li><li>Proficiency in Python, REST APIs, and cloud AI services (Azure OpenAI, AWS Bedrock, etc.).</li><li>Understanding of embeddings, vector databases (FAISS, Pinecone, Chroma), and RAG.</li><li>Experience with MLOps or AI orchestration tools is a plus.</li></ul>Job Types: Full-time, PermanentApplication Question(s):<ul><li>Are you familiar with LangChain, LlamaIndex, AutoGen, or similar frameworks. ?</li><li>What is your expected salary?</li><li>What is your earliest availability to join?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>LLM &amp; Multi-Agent Solutions Engineer: 3 years (Preferred)</li><li>generative AI, LLMs, and prompt engineering: 2 years (Preferred)</li><li>Python, REST APIs, and cloud AI services: 2 years (Preferred)</li></ul>

LLM & Multi-Agent Solutions Engineer

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)

Edison Smart®

<div>
 
 
 AI Architect &ndash; Doha - Up to 30,000 QAR
 
 
 
 The AI Architect will be responsible for designing end-to-end AI solutions that enable organisations to adopt advanced automation, analytics, and intelligent systems at scale. This role focuses on creating practical, outcome-driven AI architectures that integrate seamlessly with existing enterprise platforms and deliver measurable business value.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 AI Architecture &amp; Solution Delivery
 
 
 <ul>
 <li>
 Design and implement scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google&rsquo;s AI/ML ecosystem.
 </li>
 <li>
 Leverage pre-built services (NLP, computer vision, predictive modelling, conversational agents) to accelerate delivery.
 </li>
 <li>
 Develop solution blueprints aligned with organisational goals and broader digital transformation initiatives.
 </li>
 </ul>
 
 
 Enterprise Integration &amp; Data Engineering
 
 
 <ul>
 <li>
 Integrate AI workloads with core enterprise systems (ERP, CRM, operational platforms, data warehouses).
 </li>
 <li>
 Connect structured and unstructured data sources using APIs, middleware, and automation tools.
 </li>
 <li>
 Build and optimise data pipelines to support model training, inference, and continuous improvement.
 </li>
 </ul>
 
 
 AI Governance, Security &amp; Risk
 
 
 <ul>
 <li>
 Ensure compliance with global and regional data-protection frameworks (GDPR, HIPAA equivalents, local regulations).
 </li>
 <li>
 Monitor and manage risks related to model bias, transparency, explainability, and trust.
 </li>
 <li>
 Apply robust security and governance standards across all AI deployments.
 </li>
 </ul>
 
 
 Applied AI Implementation
 
 
 <ul>
 <li>
 Deploy and customise AI models for real-world use cases across different business functions.
 </li>
 <li>
 Configure conversational AI, intelligent agents, and knowledge systems to support operational requirements.
 </li>
 <li>
 Assess updates from cloud vendors and drive continuous enhancement of AI capabilities.
 </li>
 </ul>
 
 
 Stakeholder Collaboration &amp; Advisory
 
 
 <ul>
 <li>
 Work closely with technical and business teams to identify opportunities for applied AI adoption.
 </li>
 <li>
 Communicate complex AI concepts in a clear, practical manner to non-technical stakeholders.
 </li>
 <li>
 Guide teams through AI-enabled transformation, ensuring solutions deliver measurable impact.
 </li>
 </ul>
 
 
 Performance Engineering &amp; Scalability
 
 
 <ul>
 <li>
 Optimise AI architectures for speed, performance, and reliability.
 </li>
 <li>
 Implement monitoring frameworks, KPIs, and continuous optimisation cycles.
 </li>
 <li>
 Assess ROI and operational impact of AI deployments.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 
 8+ years
 
 in solution architecture, with
 
 4+ years
 
 focused on applied AI/ML projects.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 AI development or architecture certifications (e.g., Microsoft Certified AI Engineer/Architect).
 </li>
 <li>
 Azure AI Foundry, Google Cloud AI/ML credentials.
 </li>
 <li>
 Software engineering or solution architecture certifications.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong expertise in AI solution development and applied AI delivery.
 </li>
 <li>
 Deep knowledge of AI concepts, frameworks, models, and lifecycle management.
 </li>
 <li>
 Ability to perform architecture evaluations, scenario modelling, component design, and impact assessments.
 </li>
 <li>
 Strong understanding of SDLC, requirements gathering, and technical design.
 </li>
 <li>
 Proficiency with Azure AI Foundry and enterprise-grade AI orchestration.
 </li>
 <li>
 Hands-on experience with Google Agent Builder, multi-agent systems, and associated SDKs.
 </li>
 <li>
 Knowledge of advanced RAG techniques for enterprise knowledge management.
 </li>
 <li>
 Strong database and data-architecture skills (SQL, NoSQL, vector DBs, knowledge graphs).
 </li>
 <li>
 Ability to design secure, scalable, high-performing AI systems.
 </li>
 <li>
 Excellent communication and stakeholder engagement skills.
 </li>
 </ul>
</div>

Artificial Intelligence Architect - Doha (Up to 30,000 QAR)

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder-led, profitable, and growing.
 
 
 We are hiring a
 
 Senior Site Reliability / Gitops Engineer
 
 to our Information Systems (IS) team. This role is an opportunity for an "automation-first" senior technologist with a passion for Linux to build a career with Canonical and drive the success with those leveraging Ubuntu and open source products. If you have experience of IT operations automation, Infrastructure as Code and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical.
 
 
 
 Job Summary
 
 
 
 The IS team at Canonical supports and maintains all of Canonical's IT production services. The team is in charge of running services used by over 60 million Ubuntu users.
 
 
 As an Senior SRE &amp; Gitops engineer you'll be in a unique position to drive operations automation to the next level, both in our own private clouds as well as in the public clouds. We do this by utilizing the best of open source infrastructure as code software, software development practices such as CI/CD pipelines, and Canonical's leading products for software operation automation.
 
 
 In addition to defining the infrastructure as code, you will improve Canonical products and the open-source technologies they're based on by providing critical feedback to developers on how their products operate at scale. This is done by submitting bugs (and sometimes writing pull requests) and collaborating on design and implementations with other teams within the company.
 
 
 You'll be part of a global team of SREs that work together and support each other to provide the best possible services to our company, Canonical's customers and the Ubuntu Community.
 
 
 
 As a Senior Site Reliability / Gitops Engineer you will
 
 
 
 <ul>
 <li>
 Drive the development of automation, Gitops in your team as an embedded tech lead
 </li>
 <li>
 Closely collaborate with the IS architect to align your solutions with the IS architecture vision
 </li>
 <li>
 Design and architect services that IS can offer to the organization as products
 </li>
 <li>
 Apply your experience of IaC to develop infrastructure as code practice within IS by constantly increasing automation and improving IaC processes
 </li>
 <li>
 Automate software operations for re-usability and consistency across private and public clouds, taking into consideration the complexities of distributed systems
 </li>
 <li>
 Maintain operational responsibility for all of Canonical's core services, networks, and infrastructure
 </li>
 <li>
 Develop skills in troubleshooting, capacity planning, and performance investigation, Setting up, maintaining and using observability tools such as Prometheus, Grafana, and Elasticsearch; design, implement and maintain monitoring and alerting for various systems and services
 </li>
 <li>
 Provide assistance and work with globally distributed engineering, operations, and support peers
 </li>
 <li>
 Be given uninterrupted development time to focus on larger projects and automation of manual tasks
 </li>
 <li>
 Share your experience, know-how and best practices with other team members in design sessions, mentorship and 'doing work together'
 </li>
 <li>
 Carry final responsibility for time-critical escalations
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 A modern view on hosting architecture, driven by infrastructure as code across both private and public clouds.
 </li>
 <li>
 A product mindset thriving to develop products rather than solutions.
 </li>
 <li>
 Python software development experience, with large projects
 </li>
 <li>
 Experience working with Kubernetes or other container orchestration systems.
 </li>
 <li>
 Proven exposure to manage and deploy cloud infrastructure with code.
 </li>
 <li>
 Practical knowledge of Linux networking, routing, and firewalls
 </li>
 <li>
 Affinity with various forms of Linux storage, from Ceph to Databases
 </li>
 <li>
 Hands-on experience administering enterprise Linux servers
 </li>
 <li>
 Extensive knowledge of cloud computing concepts and technologies
 </li>
 <li>
 Bachelor's degree or greater, preferably in computer science or related engineering field
 </li>
 <li>
 Able to communicate clearly and effectively in English over email, chat, video or voice calls and in-person
 </li>
 <li>
 Motivated and able to troubleshoot from kernel to web, and willing to ask others when appropriate
 </li>
 <li>
 A willingness to be flexible and able to learn new things quickly
 </li>
 <li>
 Be inspired by the needs of fast-changing environments
 </li>
 <li>
 Happy to work within distributed teams
 </li>
 <li>
 Be passionate and familiarized about open-source, especially Ubuntu or Debian
 
 
 </li>
 </ul>
 What we offer colleagues
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Team Member Assistance Program &amp; Wellness Platform
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass and travel upgrades for long-haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Senior Site Reliability / Gitops Engineer

Qatar Foundation

<div>
 
 The Head of AI &amp; Automation will be responsible to define, implement, and govern AI and automation strategies across QF&rsquo;s digital delivery initiatives. The role ensures that AI and automation solutions are aligned with enterprise and cloud architectures, deliver measurable business value, and comply with QF&rsquo;s policies, international standards, and ethical guidelines. The post holder will work across multiple programmes to embed automation and AI into digital solutions, enhancing service quality, efficiency, and innovation.
 
 
 
 
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Define QF&rsquo;s AI and automation roadmap within the context of digital transformation and enterprise IT direction.
 </li>
 <li>
 Ensure AI and automation solutions are designed, delivered, and integrated into digital services with measurable outcomes.
 </li>
 <li>
 Embed AI governance, controls, and risk management in line with QF policies and standards (e.g. ISO 42001).
 </li>
 <li>
 Identify, evaluate, and pilot emerging AI/automation technologies with potential to deliver business impact.
 </li>
 <li>
 Work with QF entities and delivery teams to ensure adoption, alignment, and optimisation of AI-driven services.
 </li>
 <li>
 Build awareness, guidelines, and knowledge-sharing frameworks on AI and automation across QFIT.
 </li>
 <li>
 Establish and maintain an enterprise AI and automation framework that aligns with QF&rsquo;s digital delivery model.
 </li>
 <li>
 Oversee the design and deployment of AI models, automation pipelines, and digital assistants to support QF services.
 </li>
 <li>
 Ensure compliance with ethical AI principles, data protection requirements, and enterprise risk frameworks.
 </li>
 <li>
 Act as subject-matter expert for AI and automation within digital delivery initiatives.
 </li>
 <li>
 Collaborate with enterprise architects, data specialists, and programme managers to embed AI in project delivery.
 </li>
 <li>
 Deliver regular reporting and insight to senior management on AI/automation adoption, performance, and outcomes.
 </li>
 <li>
 Represent QFIT in internal and external working groups, sharing expertise and promoting QF&rsquo;s digital agenda.
 </li>
 <li>
 Other reasonable tasks as assigned by supervisor
 </li>
 </ul>
 
 
 
 
 
 Minimum Knowledge, Skills &amp; Experience:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in computer science, Data Science, Artificial Intelligence, or related discipline.
 </li>
 <li>
 8- 10 years in IT or digital delivery, with at least 3 years focused on AI, automation, or data-driven solutions.
 </li>
 <li>
 Strong understanding of enterprise AI platforms, automation tools (RPA, workflow orchestration), and data engineering.
 </li>
 <li>
 Proven ability to define strategy, oversee solution delivery, and influence stakeholders in a complex organisation.
 </li>
 <li>
 Governance: Knowledge of AI policy, risk management frameworks, and compliance standards (e.g. ISO/IEC 42001, GDPR).
 </li>
 <li>
 Communication: Excellent interpersonal and communication skills, capable of translating technical concepts into business value.
 </li>
 <li>
 Excellent writing skills with the ability to draft and edit a variety of written reports and communications and to articulate ideas clearly and concisely; Arabic proficiency is an advantage
 </li>
 <li>
 Proficiency in MS Office applications
 </li>
 </ul>
 
 
</div>

Head of AI & Automation

Codvo.ai

<div><div><div>Project Manager &ndash; Digital Transformation (Data &amp; AI, Oil &amp; Gas) (Category &ndash; Project Manager)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
Company Overview:
At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.
We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear, funded roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving drilling efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This Data Engineer role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
Job Description:
We are seeking highly skilled Project Manager to lead our digital transformation initiatives across the organization. This role is central to driving efficiency, unlocking business value, and embedding innovation by leveraging Data, AI, and modern cloud technologies. You will oversee the planning, execution, and delivery of transformation projects, ensuring alignment with business goals, regulatory requirements, and the unique operational demands of the oil &amp; gas industry. 
Key Responsibilities
Program &amp; Project Delivery
o Lead end-to-end project management for digital transformation initiatives, from scoping and business case development to execution and benefits realization.
o Establish clear project charters, structured project plans, and KPIs to track outcomes, not just outputs.
o Apply Agile project management methodologies for effective scheduling, resource planning, and milestone delivery.
o Manage cross-functional teams spanning IT, OT, data science, cloud engineering, and business stakeholders.
Digital &amp; Data Transformation
o Drive initiatives leveraging Azure (primary), with supplementary work in Google Cloud and SAP ecosystems.
o Oversee projects involving Databricks, AI/ML, advanced analytics, and data platform buildouts.
o Drive end-to-end business analysis and lead the execution of solution delivery, translating complex business needs into clear actionable requirements and overseeing the implementation to ensure realization of expected business value and solution adoption.
o Possesses strong communication and stakeholder management capabilities to effectively engage executive leadership, cross-functional teams, and external vendors driving alignment, influencing outcomes, and leading timely, high-quality decisions-making throughout the project lifecycle.
Stakeholder Engagement
o Partner with business leaders, engineers, and AI specialists to translate operational challenges into scalable digital solutions.
o Communicate complex technology initiatives in business terms for executive stakeholders.
o Manage organizational change to ensure adoption across technical and non-technical teams.
Governance &amp; Compliance
o Ensure projects align with industry regulations, HSE standards, and data security requirements.
o Establish governance frameworks for AI and data initiatives, balancing innovation with risk management.
Value Realization
o Translate transformation outputs (dashboards, models, workflows) into measurable business outcomes (efficiency gains, reduced downtime, safety improvements).
o Monitor ROI and continuously refine project portfolios based on impact. 
Required Skills &amp; Experience<ul><li>Project Management Expertise: 10+ years of experience leading large-scale digital transformation projects, with formal PM qualifications (PMP, PRINCE2, or equivalent).</li><li>Methodology: Strong background in Agile delivery, including scheduling, dependency management, and milestone tracking.</li><li>Oil &amp; Gas Industry Knowledge: Familiarity with upstream, midstream, or downstream processes, including exposure to OT data (SCADA, historians, WITSML, Petrel).</li><li>Cloud &amp; Data Platforms: Proven experience managing projects in Azure, with working knowledge of GCP and SAP integrations. Familiarity with Databricks is essential.</li><li>AI &amp; Data Literacy: Understanding AI/ML workflows, RAG, knowledge graphs, and data engineering concepts in enterprise settings.</li><li>Stakeholder Management: Demonstrated ability to engage executives, technical teams, and field operations in complex change programs.</li><li>Delivery Track Record: Strong background in managing budgets, risks, and schedules in highly regulated, safety-conscious industries.</li></ul> 
Preferred Skills<ul><li>Experience in data governance frameworks and AI ethics in industrial settings.</li><li>Familiarity with multi-cloud deployments and hybrid architectures.</li><li>Strong business acumen, with the ability to tie technology investments to commercial value.</li></ul></div></div></div>

Project Manager (Data & AI, Oil & Gas) (Doha)

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