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Energy Job Search

Role And ResponsibilitiesHow You Will Make An Impact:AI Roadmap Development: Define and implement AI strategies to enhance product features and user experiences, ensuring alignment with business goals.Product Integration: Oversee the seamless integration of AI technologies into existing products to improve functionality, efficiency, and user satisfaction.Project Management: Ensure the collection of requirements and effective utilization of AI products in collaboration with AI business representatives.AI Tool Selection and Evaluation: Evaluate and select AI tools and platforms that best meet the product's needs and objectives, optimizing performance and scalability.Performance Monitoring: Track and analyze the performance of AI features to ensure they deliver measurable value to users and stakeholders.User Experience Optimization: Leverage AI insights to enhance user experience, address pain points, and create intuitive, user-centric solutions.Compliance and Ethics: Ensure AI implementations adhere to ethical standards, data privacy regulations, and company policies, maintaining trust and transparency.Collaboration with Teams: Work closely with product managers, engineers, and data scientists to align AI initiatives with product goals and drive cross-functional success.Innovation Leadership: Identify and implement innovative AI solutions to differentiate the product in the market, staying ahead of industry trends.Change Management: Champion AI adoption within the organization &amp; provide training and resources to team members on AI tools and best practices, fostering a culture of continuous learning and improvement.Skills And QualificationsWhat You'll Need:Bachelor's or Master's degree in Engineering, Computer Science, Data Science/AI, or a related field.8-10 years of experience in project or program management, including 2-4 years leading AI, digital, or data-driven transformation initiatives.Demonstrated success delivering cross-functional technology projects within complex organizations.Experience in industries undergoing AI-driven transformation (e.g., retail, finance, telecom, healthcare).Strong knowledge of project and product management methodologies (Agile, Hybrid, Waterfall).In-depth understanding of AI/ML technologies, data lifecycle, and analytics frameworks, with both technical and business fluency.Familiarity with AI platforms and tools such as TensorFlow, PyTorch, and cloud-based AI services (AWS AI, Google AI, etc.)Excellent strategic planning skills to align AI initiatives with business objectives and product roadmaps.Proven ability to lead cross-functional teams, including engineers, data scientists, and product managers.Outstanding stakeholder management and communication skills, with the ability to explain complex AI concepts to non-technical audiences.Expertise in change management and driving organizational transformation.Certifications such as PMP, PRINCE2, Agile/Scrum Master, or AI/ML certifications (e.g., Google Cloud, AWS AI) are a plus.Prior consulting or advisory experience in AI transformation is preferred.Familiarity with ethical AI principles, AI frameworks, and governance practices.

AI Transformation Project Manager

BigTapp

Delivery Manager Data, Analytics, and AI Services. 
 Job Title: Delivery Manager Data, Analytics, and AI Services. 
 Location: Dubai 
 Experience: 12 - 15 Years 

 
 
 
 Job Title: Delivery Manager Data, Analytics, and AI Services. Location: Dubai. Experience: 12+ Years Job Summary: As a Delivery Manager, you will be responsible for overseeing the successful execution of multiple Data, Analytics, and AI projects within a customer account or geography. You will ensure seamless project delivery, optimize resource allocation, drive strategic alignment, and mitigate risks. In addition to overseeing project managers, you will also act as a hands-on PM for selected critical projects, ensuring direct involvement where needed. Your leadership will ensure project teams deliver value-driven outcomes while maintaining high client and team satisfaction. Key Outcomes Expected: 100% on-time delivery of all projects under the portfolio. 95%+ client satisfaction by ensuring high-quality execution and strategic alignment. Zero major escalations through proactive risk and stakeholder management. Balanced workload across teams, maintaining 80%+ team satisfaction scores. At least 20% productivity improvement in project execution year-over-year. Implementation of automation and AI-driven processes to enhance efficiency and standardization. Key Responsibilities: Project &amp; Portfolio Management: Oversee and manage the execution of multiple Data, Analytics, and AI projects within an account or geography. Act as a hands-on PM for critical or high-risk projects, ensuring direct engagement when needed. Develop and maintain an integrated delivery roadmap for all projects in the portfolio. Ensure alignment with customer objectives, budgets, and strategic goals. Client &amp; Stakeholder Engagement: Serve as the primary escalation point for project-related issues within the portfolio. Conduct regular executive reviews with clients, ensuring transparency on delivery status and business impact. Foster long-term relationships with clients, identifying opportunities for upselling and cross-selling services. Ensure a Governance, Compliance &amp; Risk Management: Drive 100% adherence to data governance, security, and AI regulatory requirements. Establish and enforce standard operating procedures (SOPs) to reduce project risks by 30%. Proactively track risks and implement mitigation strategies, maintaining Resource &amp; Financial Management: Optimize resource allocation across projects, ensuring maximum efficiency and utilization (&gt;85%). Monitor and control project budgets, ensuring Support hiring, training, and retention strategies to build a high-performing project management team. Agile, Automation &amp; Delivery Excellence: Ensure the adoption of best practices in Agile, Scrum, and hybrid project management methodologies. Standardize reporting, dashboards, and KPI tracking across all projects. Implement automation and AI-driven tools to streamline project execution, reduce manual effort, and enable non-linear delivery models. Drive continuous process improvements, achieving 20%+ increase in productivity annually. Leverage Gen AI-based project monitoring and predictive analytics to identify risks and optimize delivery timelines. Team Leadership &amp; Culture Building: Mentor and guide Project Managers, ensuring consistent and high-quality project execution. Foster a culture of collaboration, innovation, and work-life balance. Ensure 80%+ team satisfaction, minimizing burnout and maintaining high morale. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Relevant certifications in Azure or AWS are a plus. Must Have Technical Skills: 12+ years of experience in Data, Analytics, and AI project delivery Proven ability to manage multiple concurrent projects within a large account or geography. Strong stakeholder engagement, governance, and risk management skills. Experience in resource optimization, financial planning, and budget control. Hands-on Agile, Scrum, and hybrid project management experience. Familiarity with data engineering, analytics platforms, AI/ML model lifecycle, and data governance. Experience in implementing automation and AI-driven processes for improving efficiency. Proficiency in project management tools such as JIRA, MS Project, Trello, Asana. Excellent communication, negotiation, and leadership skills. Nice to Have Skills: Experience in Banking, Financial Services, or Insurance (BFSI) analytics projects. Knowledge of Cloud platforms (AWS, Azure, GCP) and modern data architectures. Exposure to Generative AI and AI-driven automation solutions. PMP, PRINCE2, SAFe, or Certified Scrum Master (CSM) certification. Compensation &amp; Benefits: Lead strategic, high-impact data &amp; AI initiatives for top-tier clients. Work in a collaborative, innovative-driven environment. Enjoy a flexible, balanced work culture focused on employee well-being. Competitive salary and career growth opportunities.

Delivery Manager Data, Analytics, and AI Services.

Prepaire Laboratory 7 Limited

Position: Senior Project Manager &ndash; Digital Twin Platform Location: Dubai / Abu Dhabi , UAEType: Full-time, Senior LevelAbout Prepaire LabsPrepaire Labs is building the world&rsquo;s first biological operating system, an open-architecture engine that powers AI-driven drug discovery, precision diagnostics, and real-time digital twins across federated labs worldwide.Our flagship project, GenetiQ (codename: iOS for Health), creates a dynamic digital replica of human biology by integrating multi-omics, imaging, wearable, and wet-lab feedback data. It enables clinicians and patients to understand, predict, and optimize health in real time.About the RoleWe&rsquo;re looking for a Senior Project Manager to lead the development and launch of the GenetiQ Digital Twin platform. You&rsquo;ll oversee a world-class technical team working across AI, bioinformatics, and cloud infrastructure, ensuring smooth coordination from MVP through global rollout.This is a senior execution role that combines technical depth with strategic vision, ideal for someone who can speak both the language of engineers and the language of commercial partnerships.What You&rsquo;ll Do<ul><li>Lead delivery of the Digital Twin MVP and federated deployment phases.</li></ul><ul><li>Manage timelines, budgets, and inter-team dependencies across engineering, data science, DevOps, and clinical integration.</li></ul><ul><li>Oversee containerized microservice builds (Kubernetes, Helm, GitOps) and ensure compliance with HIPAA, GDPR, and ISO 27001.</li></ul><ul><li>Coordinate implementation of GenetiQ&rsquo;s core AI stack &mdash; foundation models, knowledge graphs, and explainability engines.</li></ul><ul><li>Liaise between R&amp;D, product, and executive leadership to align milestones with commercial rollout.</li></ul><ul><li>Drive regulatory documentation, security audits, and federated site onboarding.</li></ul>What We&rsquo;re Looking For<ul><li>10+ years of experience managing complex technical programs (AI, health-tech, or life sciences preferred).</li></ul><ul><li>Solid understanding of cloud-native systems, microservice architectures, and federated learning.</li></ul><ul><li>Familiarity with bioinformatics, digital twins, or multi-omics data is highly desirable.</li></ul><ul><li>Demonstrated success leading cross-functional, distributed teams.</li></ul><ul><li>Strong organizational and communication skills &mdash; able to translate deep tech into clear strategy.</li></ul>Nice to Have<ul><li>Experience with graph databases (Neo4j, TigerGraph) or knowledge-graph applications.</li></ul><ul><li>Exposure to neuro-symbolic AI, post-quantum security, or wet-lab feedback systems.</li></ul><ul><li>Background in computational biology, data science, or biomedical informatics.</li></ul>Why Join Us<ul><li>Be part of a global project redefining how healthcare is personalized and delivered.</li></ul><ul><li>Work with top engineers and scientists across the U.S., Europe, and the UAE.</li></ul><ul><li>Help bring explainable, federated AI to real-world clinics and research labs.</li></ul>How To Apply: Send your CV and a short note about your most technically complex project to jobs@prepaire.com with the subject line &ldquo;Senior Project Manager &ndash; GenetiQ&rdquo;.Job Type: Full-time

Senior Project Manager – Digital Twin Platform

Whiteshield

<div>Whiteshield combines artificial intelligence with economic expertise to solve real policy challenges. Our AI Economics unit transforms complex data into actionable insights that shape how governments and businesses design policies, manage resources, and plan for growth.
Role Overview
As a Data Science Manager, you will lead analytical projects that integrate AI, machine learning, geospatial analysis, and economic modelling to drive evidence-based decision-making. You&rsquo;ll manage end-to-end data workflows &mdash; from ideation to delivery &mdash; and work with a multidisciplinary team of data scientists, economists, and policy experts to build tools that have real impact.
Key Responsibilities<ul>
<li>
Lead data-driven projects across public policy and economic domains.</li>
<li>Design, automate, and optimize data pipelines and analytical workflows.</li>
<li>Apply AI, ML, and geospatial techniques to extract insights from satellite imagery, trade, and macroeconomic data.</li>
<li>Develop and maintain interactive dashboards, ranking systems, and predictive models.</li>
<li>Translate technical results into clear, actionable policy recommendations.</li>
<li>Mentor junior data scientists and oversee code quality, documentation, and best practices.</li>
</ul>
Requirements
Masters degree in Computer Science or Data Science
Proven experience leading data projects or small teams
5+ years experience with Python
5+ years experience with SQL
5+ years experience with APIs
Experience with machine learning or predictive modelling
Experience building data pipelines or ETL processes
Experience with data visualization (Power BI, Tableau, or similar)
Excellent English communication skills
Nice-to-haves:
Experience with geospatial data (e.g., GIS, satellite imagery, GeoPandas, QGIS)
Experience with economic or policy-related datasets
Experience working in consulting or public sector projects
Knowledge of cloud platforms (AWS, GCP, or Azure)
Familiarity with TensorFlow or PyTorch
Master&rsquo;s degree in Data Science, Economics, or related field
Benefits<ul><li>
Real influence and access &ndash; Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations.</li><li>
Room to innovate &ndash; If you see a better way, try it. We encourage new methods and actively pilot new technologies.</li><li>
Cutting-edge tools &ndash; Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms.</li><li>
Structured growth &ndash; Learn from senior experts through hands-on mentoring and project-based skill transfer.</li></ul></div>

Data Science Manager - AI Economics Unit (UAE-based)

Avanade

Come join us
 As a AI Lead, you are responsible for leading people, project, and program management across an entire AI system lifecycle. From requirements gathering through implementation, you will work closely with both internal Avanade employees and client stakeholders to ensure on-time, high-quality project delivery. You will also be responsible for the identification and implementation of continuous improvement initiatives, processes, and tools supporting enhancements in productivity, efficiency, issue resolution, and cost. Together we do what matters.
 Skills and experiences
 <div><ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Engineering, Business, or related field; Master&rsquo;s degree (MBA or MSc) preferred.
</li><li>Experience: 8&ndash;12 years in consulting, AI, or automation leadership, with at least 3 years in client-facing delivery, practice-building, or business development roles .
</li><li>Fluency in English is required; Arabic is an asset.</li></ul></div>
 About you
 <div><ul><li>Demonstrated ability to build and scale practices : setting strategy, creating offerings, recruiting, and growing market share.
</li><li>Proven success in hiring, coaching, and developing top talent &mdash;shaping high-performing teams and fostering career growth.
</li><li>Proven track record of end-to-end solution delivery : defining client problems, designing architectures, and ensuring successful deployment.
</li><li>Hands-on expertise with Azure AI Foundry, Copilot Studio, Power Platform, Python, C#, Semantic Kernel, LangChain, multi-agent architectures, agentic RAG, and MCP servers .
</li><li>Ability to bridge business strategy and technical execution , engaging both C-suite stakeholders and delivery teams.
</li><li>Strong commercial acumen, including pre-sales leadership, RFP response, and business case development .</li></ul></div>
 What you'll do
 <div>Build and Scale the Agentic AI Practice
 
Establish and expand the Agentic AI and Intelligent Automation (IA) practice in Dubai and the GCC&mdash;defining the vision, shaping offerings, building delivery capability, and driving market presence.
Lead Enterprise-Scale Agentic AI Programs
 
Deliver complex multi-agent, cross-platform solutions using Azure AI Foundry, Copilot Studio, Power Platform, and Dynamics 365 , with a strong emphasis on scalability, accuracy, and business value.
Drive Adoption of Agentic AI Frameworks
 
Embed multi-agent architectures, agentic RAG, and MCP servers into client ecosystems&mdash;accelerating automation, insight generation, and decision-making workflows.
Operationalize AI at Scale
 
Implement governance and orchestration frameworks to safely deploy, monitor, and scale AI assistants and Copilot agents across different domains including financial services, healthcare, and government services.
Own Agentic AI Business Development
 
Shape and lead pre-sales activities, RFP responses, and client solutioning , ensuring business development teams are equipped with delivery-led credibility, accelerators, and technical proof points .
Hire, Coach, and Develop Talent
 
Recruit top talent across consulting, engineering, and delivery roles. Mentor, upskill, and grow high-performing teams , embedding a culture of continuous learning and innovation in agentic AI and automation.
Shape AI Strategy with Microsoft Ecosystem
 
Collaborate with senior leaders and stakeholders to align program strategies with Microsoft&rsquo;s evolving stack &mdash;integrating Copilot, Semantic Kernel, LangChain, Fabric, and cloud-native services into enterprise transformation agendas.
Strengthen Governance and Responsible AI
 
Define and implement delivery methodologies, controls, and responsible AI practices to ensure compliance, data security, and ethical AI adoption.
 Build Internal Capability and Accelerators
Develop reusable agentic AI assets, accelerators, and training programs to scale delivery excellence on Azure AI, Copilot Studio, and the Power Platform.
Represent the Firm in Microsoft and Industry Circles
 
Actively engage in Microsoft partner events, industry conferences, and thought leadership forums to showcase innovation and build market authority in Dubai and beyond.
Promote Cross-Practice Synergy
 
Drive collaboration across Data &amp; AI, Intelligent Automation, Business Apps, and Cloud Innovation to deliver integrated, multi-domain client solutions.</div><div></div>
 Enjoy your career
 Some of the best things about working at Avanade: Pathway to work on industry leading programs of work Opportunity to work with global customers A people-first culture that supports innovation to push teams in new directions Quickly turn your ideas to human impact by cultivating a team that will help clients unlock what&rsquo;s next Real-time access to technical and skilled resources globally
 A great place to work
 As you bring your skills and abilities to Avanade, you&rsquo;ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You&rsquo;ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It&rsquo;s all here, so take a closer look! Together we do what matters. We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion &amp; Diversity page. Create a future for our people that focuses on: Expanding your thinking Experimenting courageously Learning and pivoting Inspire greatness in our people by Empowering every voice Encouraging boldness Celebrating progress Accelerate the impact of our people by Amazing the client Prioritizing what matters Acting as one

AI Lead

Road and Transport, RTA Dubai

Location: UAE Location: Dubai Industry: I T and Services Function: Information Technology Gender: Any Candidate Nationality: UAE Only Job Type: Full-time What You ll Do * Lead AI and data science project roadmaps, ensuring delivery within timelines and alignment with corporate goals. * Manage the secure and stable operation of AI platforms, ensuring compliance with RTA s information security policies. * Oversee licensing, access management, and integration of AI applications with infrastructure systems. * Use machine learning and data science to extract insights from big data, supporting decision-making. * Evaluate and implement AI/big data use cases, ensuring scalability, performance, and impact. * Prepare periodic progress, risk, and operational performance reports with recommendations. * Supervise UAT and operational testing to meet security and quality requirements. * Manage service provider contracts and coordinate with external technical partners. * Monitor system performance, SLAs, and operational continuity of smart platforms. * Train and empower internal teams in AI tools, dashboards, and applications. * Analyze user feedback and incorporate improvements into AI operations. * Recommend partnerships and collaborations with AI vendors and solution providers. * Ensure strict adherence to digital safety, incident reporting, and governance practices. Ideal Profile * Master s or Bachelor s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. * At least 11 years of relevant experience in AI operations, data platforms, or technical project management. * Proven expertise in machine learning, big data analytics, and enterprise AI deployment. * Strong understanding of AI governance, security compliance, and operational frameworks. * Excellent leadership, problem-solving, and team empowerment skills. * Strong communication and stakeholder management abilities.

AI Operations Manager

Mondia

<div>
 Be part of shaping how AI transforms how we work. You'll scout emerging AI technologies, pilot new tools, and coordinate cross-departmental adoption projects. A key focus will be managing and enhancing our internal Knowledge Hub &mdash; ensuring information flows seamlessly and employees can leverage AI to its fullest.
 
 
 
 What you will do!
 
 
 
 <ul>
 <li>
 Roll out AI tools and features company-wide to boost adoption and measurable value
 </li>
 <li>
 Identify and evaluate emerging AI technologies with potential business impact
 </li>
 <li>
 Drive employee engagement and training to maximize AI tool utilization
 </li>
 <li>
 Lead the program management and evolution of the company Knowledge Hub
 </li>
 <li>
 Enhance Knowledge Hub performance through LLM integration for smarter, easier interactions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 BA Degree in Artificial Intelligence, Computer Science, Data Science, or Information Systems
 </li>
 <li>
 Coursework or certifications in AI tools, prompt engineering, or machine learning fundamentals (e.g., Coursera, Google AI, Microsoft Learn)
 </li>
 <li>
 Ability to analyze adoption metrics, feedback, and performance data
 </li>
 <li>
 Proficiency in tools like Excel, Google Sheets, or Power BI/Tableau (nice-to-have)
 </li>
 <li>
 Curiosity to link data insights with business impact
 </li>
 <li>
 Generative AI platforms (OpenAI, Anthropic, Gemini, etc.)
 </li>
 <li>
 Productivity &amp; collaboration tools (Notion, Miro, Slack, Microsoft 365)
 </li>
 <li>
 Knowledge bases (Confluence, Guru, SharePoint)
 </li>
 <li>
 Project management tools (Asana, Trello, Jira)
 </li>
 <li>
 Data visualization tools (Power BI, Tableau &mdash; optional)
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Opportunity to work for a dynamic international company with a flat hierarchical structure, where your voice matters and your impact is seen.
</div>

AI Transformation Intern

Explore 7633+ Ai project manager in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.