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data delivery manager – data science & ai focus Jobs in Abu Dhabi

data delivery manager – data science & ai focus

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data delivery manager data science ai focus

EPAM Systems

<div>We are seeking a highly technical, proactive and people-oriented Data Delivery Manager with a strong foundation in data science and AI to join our Data &amp; Analytics practice in Abu Dhabi, UAE. As a key member of our team, you will lead the delivery of complex data programs and projects, managing multiple workstreams across diverse domains. You will collaborate with both local and global delivery teams, leveraging your expertise in data science, cloud technologies and program management to drive impactful business outcomes.
Responsibilities<ul><li>
Oversee end-to-end client delivery for data science and AI projects, ensuring successful outcomes aligned with EPAM processes</li><li>
Manage client relationships and expectations, representing delivery at the governance level</li><li>
Coordinate multiple activity streams and clients, ensuring seamless delivery across finance, sourcing, implementation and business objectives</li><li>
Work closely with multi-disciplinary teams of product owners, architects, data scientists, engineers and quality assurance to drive estimates, delivery plans and retrospectives</li><li>
Proactively identify and manage engagement risks, escalating major issues early</li><li>
Participate in business development efforts for both existing clients and new projects, continuously identifying new opportunities in data science and AI</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics or a related field; Ph.D. is a plus</li><li>
Client-facing skills and business fluency in English; proficiency in Arabic is a significant advantage</li><li>
Proficiency in data management concepts such as data governance, data quality, data integration and data lifecycle management</li><li>
Advanced experience in data science, machine learning and AI concepts, including model development, deployment and monitoring</li><li>
Proven track record of successfully managing complex data and AI projects from initiation to delivery</li><li>
Experience leading and managing teams, including hiring, mentoring and performance management</li><li>
Excellent negotiation and communication skills for collaborating with internal and external stakeholders</li><li>
Solid understanding of data technologies, including databases (SQL, NoSQL), data warehousing solutions (e.g. Snowflake, Redshift), ETL tools and data science platforms (e.g. Databricks, SageMaker)</li><li>
Knowledge of cloud platforms (AWS, Azure, GCP) and their data and AI-related services</li><li>
Hands-on experience implementing data delivery pipelines, data warehouses and data lakes is a plus</li><li>
Strong knowledge of data modeling, database design principles and statistical analysis</li></ul>
We offer<ul><li>
End of service gratuity</li><li>
Private healthcare and life insurance</li><li>
Employee assistance program</li><li>
Wellness program</li><li>
Annual air travel tickets for expatriates</li><li>
Regular performance feedback and salary reviews</li><li>
Global travel medical and accident insurance</li><li>
Referral bonuses</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li><li><ul><li>All benefits and perks are subject to certain eligibility requirements</li></ul></li></ul></div>

Data Delivery Manager – Data Science & AI Focus

Yokogawa

<div><div>Not just a job, but a career</div><div>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</div><div></div><div>
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.</div><div></div><div>
About the Team 
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.</div><div></div><div>
Job Purpose</div><ul><li>
In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.</li><li>
Design and develop AI /ML models that support asset performance management across various maintenance strategies, including predictive, prescriptive, and cognitive maintenance.</li><li>
Implement Analytical AI techniques (supervised/unsupervised learning, reinforcement learning) for predictive maintenance, defect elimination, and asset strategy optimization</li><li>
Use AI /ML to analyze trends and patterns, make intelligent recommendations, and automate decision support systems.</li><li>
Develop intelligent recommendations systems that improve maintenance processes, criticality assessments, and reliability analytics.</li><li>
Ensure AI models are scalable and deployable within industrial platforms, integrating with DCS, PLC, SCADA, Historians, EAM, MES/MOM, SCM, and SAP systems.</li><li>
To oversee the expansion of our advanced automation and digital transformation solutions (AI/ML) and services into new asset developments and brownfield optimization projects across several industrial markets</li></ul><div></div><div>
Key Responsibilities &amp; Accountabilities</div><ul><li>
Knowledge of software development process and technical skills: Lead AI /ML Engineer must know the technical aspects of projects to identify risks, propose immediate solutions and provide guidance for Digital transformation solutions.</li><li>
Define the AI/ML strategy and roadmap for oil &amp; gas solutions, aligning with Yokogawa&rsquo;s digital transformation objectives.</li><li>
Architect end-to-end ML systems, from data ingestion and feature engineering to model deployment and monitoring.</li><li>
The objective is to understand your customer&rsquo;s business objectives to align with Yokogawa capabilities and solutions. In this role you will lead other Yokogawa key contributors in an overall strategy to implement solutions that will contribute to customer business objectives in a way that is meaningful and measurable in the areas of AI/ML solutions.</li><li>
Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.</li><li>
Make strategy, implement initiatives &amp; measures to help position AI/ML solutions to achieve long term sustainability and profitability on establishing site services orders, management of warranty &amp; post-delivery support for YUAE business.</li><li>
Report to Department Manager-Advanced Solutions Department on job progress, issues and resolutions and manpower-mapping for effective delivery of solution.</li><li>
Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.</li></ul><div></div><div><div>
Qualification and Experience</div></div><ul><li>
A bachelor&rsquo;s degree in data science / AI or Software engineering with specialization in data science and having strong process knowledge. Master&rsquo;s degree is preferable.</li><li>
Minimum 15 years of experience.</li></ul><div></div><div>
Competencies</div><ul><li>
Develop and optimize algorithms for real-time analytics and predictive maintenance in upstream, midstream, and downstream operations.</li><li>
Perform model performance tuning to ensure reliability and scalability under production environments.</li><li>
Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.</li><li>
Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.</li><li>
Proactively addresses potential risks related to data privacy, model bias, and operational safety.</li><li>
Capable of managing field surveys, designing automation functions, and ensuring compliance with project quality standards.</li><li>
Capable of overseeing multiple projects, ensuring the successful delivery of projects involving advanced automation technologies including AI/ML and managing all aspects of project execution</li><li>
Deep technical knowledge in process solutions and expertise in specialty Chemicals &amp; Process, including understanding Chemical Properties, Manufacturing Processes, Operations and Industry-specific challenges</li><li>
Stay updated on the latest trends, technologies, and regulations in the specialty chemicals &amp; Process industry and provide insights that influence product/service/solution development and strategic planning</li><li>
Customer Focus with Strategic Mindset</li><li>
Proven track record of field experience and technical skills</li><li>
Excellent verbal and written communication skills</li><li>
Good leadership skills</li></ul><div></div><div>
Skills</div><ul><li>
Knowledge and experience in implementing AI /ML Project</li><li>
Knowledge in advanced level for programing in Python, C++, Java, C#, SQL, Matlab etc</li><li>
Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and familiarity Keras, XGBoost.</li><li>
Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.</li><li>
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.</li><li>
Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.</li><li>
Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.</li><li>
Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.</li><li>
Familiarity with distributed data processing and big data technologies (Spark, Hadoop), plus knowledge of time-series databases (e.g., InfluxDB, OSIsoft PI) is an added advantage.</li><li>
Knowledge of working on DCS platforms.</li><li>
Consistently demonstrates exceptional technical skills, competence, and productivity.</li><li>
Possesses excellent communication and interpersonal abilities.</li><li>
This position is best filled by someone with a firm understanding and knowledge in AI /ML with data science background with having process Plant Operations -Onshore /Offshore/Refining -Upstream, Midstream &amp; downstream with Process Automation/Process Control in both discrete and continuous manufacturing.</li></ul><div></div><div>
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa 
about our Employee Referral process!</div></div>

Solutions Manager -AI & ML -Digitalization Project

Khazna Data Centers

<div>
 
 
 Khazna was founded in 2012 and has grown rapidly into becoming the leading and trusted wholesale Data Center provider in the Middle East and North Africa region. Through our Data Centers, we provide industry benchmark levels of power supply and cooling services to better serve the growing need for data center operations in the UAE and wider region.
 
 
 
 
 
 
 We are seeking a
 
 Data Scientist (AI/ML)
 
 to join our
 
 Command &amp; Control Center &ndash; Data Analytics &amp; Reporting
 
 team, reporting to the
 
 Manager, Data &amp; BI
 
 . This centralized role is responsible for developing AI-driven solutions, machine learning models, and advanced analytics to enhance data center operations, efficiency, and innovation. The Data Scientist will apply predictive modeling, deep learning, and other data science techniques to enable data-driven decision-making and automation across the data center ecosystem.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 <ul>
 <li>
 In collaboration with the line manager, develop Data Center AI/ML models for predictive maintenance, anomaly detection and capacity planning, reducing downtime and optimizing resource allocation
 </li>
 <li>
 Support in simulation models to assess potential business impact, forecasting power demand, cooling efficiency and IT workload fluctuations
 </li>
 <li>
 Work with big data technologies and cloud platforms, optimizing AI model deployment across hybrid and multi-cloud architectures
 </li>
 <li>
 Optimize Data Center models for performance, scalability and interpretability, ensuring they align with real-time decision-making needs of mission-critical facilities
 </li>
 <li>
 Conduct statistical analysis and hypothesis testing, providing data-driven insights for risk assessment, asset lifecycle management and energy efficiency improvements
 </li>
 <li>
 Collaborate with Data Engineers to ensure seamless data pipeline integration, enabling real-time AI-driven monitoring and automation
 </li>
 <li>
 Support in develop anomaly detection algorithms to proactively identify deviations in data center power usage effectiveness (PUE), cooling efficiency etc.
 </li>
 <li>
 Research and implement emerging AI/ML technologies within data center, such as federated learning, reinforcement learning and generative AI, to enhance operational resilience
 </li>
 <li>
 Evaluate and improve the performance of existing AI models within data center, incorporating adaptive learning techniques to refine predictions over time
 </li>
 <li>
 Ensure AI/ML models in data center are continuously updated with live data streams, adapting to infrastructure expansions, workload shifts and market trends
 </li>
 <li>
 Extract findings from AI-driven analysis and present actionable insights to executives at Khazna and CCC leadership to inform strategic decision-making
 </li>
 <li>
 Support in defining and prioritize potential data center operational scenarios, using AI simulations to model the likelihood and impact of various facility and market dynamics
 </li>
 <li>
 Update data center models and forecasts based on real-time data, industry benchmarks and shifting internal prioritises to maintain competitive intelligence
 </li>
 <li>
 Drive automation in incident response and capacity forecasting, integrating AI insights with CAFM and orchestration tools for proactive management
 </li>
 <li>
 Ensure AI governance, model explainability and compliance with regulatory standards in data center operations, including SOC 2, ISO 27001 and Uptime Institute guidelines as recommended
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Bachelor&rsquo;s in Computer Science, AI/ML (or) Data Science
 </li>
 <li>
 Certifications in AI/ML or data science preferred (e.g., Google AI, Microsoft AI)
 </li>
 <li>
 3-5 years of experience in AI/ML model development, data science or analytics
 </li>
 <li>
 Proficiency in Python, TensorFlow or PyTorch
 </li>
 <li>
 Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Google AI)
 </li>
 <li>
 Strong background in statistical modeling, probability and data structures
 </li>
 <li>
 Experience with big data frameworks like Apache Spark or Hadoop
 </li>
 </ul>
 
 
 
 
 
 Additional Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Ability to translate complex data into actionable insights for business and operational teams
 </li>
 <li>
 Expertise in explaining AI/ML concepts to non-technical leadership, ensuring alignment between data science and business strategy
 </li>
 <li>
 Work effectively across Engineering and Operations, adapting models to shifting business priorities and technological advancements
 </li>
 </ul>
 
 
 
 
 
 Trainings/Certifications Preferred:
 
 
 
 
 
 <ul>
 <li>
 Google TensorFlow Developer Certification
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 </ul>
 
 
</div>

Data Scientist (AI/ML)

Presight

<div>
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 
 
 
 The Opportunity:
 
 
 
 Presight is looking for an insightful, results-oriented Senior Product Specialist to drive the conceptualization, development and rapid testing of analytics products and solutions that will enhance acquisition, engagement and retention of Presight customers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 As a Senior Product Specialist you will collaborate with product teams and Presight stakeholders to define priorities, deliverables &amp; design approaches, and lead the product strategy, planning, delivery &amp; marketing of Presight solutions &amp; services in line with the overall business objectives and customer requirements.
 
 
 
 
 
 
 Functional
 
 
 <ul>
 <li>
 Translate product strategy into detailed requirements for prototype construction and final product development by engineering teams.
 </li>
 <li>
 Engage with the Engineering, Design and several other cross functional teams to ensure successful product delivery
 </li>
 <li>
 Prepare detailed requirement specifications, functional specifications, use case, and work- flow diagrams and manage the requirements throughout the project lifecycle.
 </li>
 <li>
 Own the product roadmap and drive the execution of product lifecycle processes, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch.
 </li>
 <li>
 Monitor progress of product development and own the product backlog to ensure progress is as per the agreed baseline, to achieve timely completion and a return on investment.
 </li>
 <li>
 Measure product performance and mitigate impediments impacting the successful delivery of the product.
 </li>
 <li>
 Assist the product team by providing expertise/suggestions in the areas of design, storytelling, interaction design, visual design, user research and user behavior.
 </li>
 <li>
 Lead testing efforts in conjunction with the Project and QA Manager, including the design and execution of test scripts and scenarios.
 </li>
 <li>
 Adopt a proactive approach to identify risks and issues, create contingency plans for mitigation, assist with gap analysis and develop proof-of-concepts.
 </li>
 <li>
 Develop product positioning that differentiates Presight and its features across primary market segments.
 </li>
 <li>
 Develop dashboards and reports on product development operations that showcase the performance of the product and usage patterns, and suggest possible improvements.
 </li>
 <li>
 Manage all aspects of live products, including customer feedback, requirements and issues.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field.
 </li>
 <li>
 5+ years of product management experience in data platforms, enterprise software, or analytics-focused technologies.
 </li>
 <li>
 Demonstrated success managing analytical or data-centric products.
 </li>
 <li>
 Proven ability to drive technical conversations and align stakeholders around a shared
 </li>
 <li>
 product vision.
 </li>
 <li>
 Product Owner background + UI UX experience
 </li>
 <li>
 Excellent communication, storytelling, and leadership skills.
 </li>
 <li>
 Experience working with AI/ML, big data technologies, or platforms designed for analysts,
 </li>
 <li>
 data scientists, or operational users is a strong plus.
 </li>
 </ul>
</div>

Product Owner

United Arab Emirates University, Department of Family Medicine

<div>
 
 Job Description
 
 
 
 The Big Data Analytics Center (BIDAC) at UAE University is expanding its research and innovation team to advance the next generation of AI, Machine Learning, and Large Language Model (LLM) applications. The Center plays a national leadership role in AI research, data infrastructure, and digital transformation, supporting major UAE initiatives in smart government, education, and innovation. We are seeking highly motivated Data Engineers who will contribute to developing and deploying scalable AI and NLP systems, with a focus on LLM fine-tuning, optimization, and deployment in secure, domain-specific environments. This is an exceptional opportunity to work in a cutting-edge AI lab within a top research university, collaborating with multidisciplinary teams to deliver impactful projects that advance the UAE&rsquo;s AI capabilities. Key Responsibilities:
 
 
 <ul>
 <li>
 Design, build, and maintain data pipelines, ETL workflows, and databases supporting AI/ML projects.
 </li>
 <li>
 Develop and deploy LLMs and NLP pipelines for real-world use cases (education, government services, healthcare, etc.).
 </li>
 <li>
 Conduct data preprocessing, cleaning, feature extraction, and model training for structured and unstructured data.
 </li>
 <li>
 Fine-tune and optimize foundation models (GPT, LLaMA, Falcon, etc.) using domain-specific datasets.
 </li>
 <li>
 Collaborate with research teams on AI model evaluation, interpretability, and explainability.
 </li>
 <li>
 Integrate AI models with front-end applications, APIs, and databases for operational deployment.
 </li>
 <li>
 Support research publications, grant proposals, and technical documentation under BIDAC initiatives.
 
 
 </li>
 </ul>
 Minimum Qualification
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (BSc) in Computer Science, AI, Data Science, Data Engineering, or a related field.
 </li>
 <li>
 Strong programming skills in Python and experience with data processing libraries (Pandas, NumPy, PySpark, etc.).
 </li>
 <li>
 Experience in machine learning model development using frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
 </li>
 <li>
 Solid understanding of data structures, algorithms, and statistical methods.
 </li>
 <li>
 Experience working with databases (SQL/NoSQL) and cloud platforms (AWS, Azure, or GCP).
 
 
 </li>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in AI, Data Science or a related field.
 </li>
 <li>
 Prior experience in LLM fine-tuning, distillation, or on-premises deployment (e.g., Falcon, LLaMA, Mistral).
 </li>
 <li>
 Experience building knowledge graphs or retrieval-augmented generation (RAG) pipelines.
 </li>
 <li>
 Knowledge of distributed computing (Spark, Dask, Ray) and data lake architectures.
 </li>
 <li>
 Experience integrating AI systems into production-grade web or enterprise applications.
 </li>
 <li>
 Contribution to open-source AI projects, or publications in high-impact AI/ML venues.
 </li>
 <li>
 Understanding of Arabic NLP and bilingual (EN/AR) model development is a plus.
 
 
 </li>
 </ul>
 Expected Skills
 
 
 <ul>
 <li>
 Proficiency in NLP and LLM ecosystems, including tokenization, embeddings, transformers, and model fine-tuning.
 </li>
 <li>
 Familiarity with LangChain, Hugging Face Transformers, and OpenAI / Anthropic / Cohere APIs.
 </li>
 <li>
 Understanding of MLOps, containerization (Docker), and deployment tools (FastAPI, Streamlit, MLflow, etc.).
 </li>
 <li>
 Strong knowledge of data versioning and reproducibility tools (DVC, Git, etc.).
 </li>
 <li>
 Ability to handle large-scale, multi-modal datasets (text, audio, video, sensor data).
 </li>
 <li>
 Excellent analytical and problem-solving skills with a research mindset.
 </li>
 <li>
 Strong written and verbal communication skills for technical and interdisciplinary collaboration.
 
 
 </li>
 </ul>
 Close Date Kindly apply
 
 before
 
 the closing date.
 
 
 31/12/2025
 
 
 Apply
 
 
 Department
 
 
 Division
 
 
 Grade
 
 
 Posting Number
 
 
 Position Number
</div>

Data Engineer

Abu Dhabi University

<div>
 
 
 Position Title:
 
 Business Automation Developer
 
 
 
 Department:
 
 Digital Advancement, Transformation &amp; AI (DATA)
 
 
 
 
 
 
 
 
 
 JOB PURPOSE:
 
 
 
 
 
 
 The Business Automation Developer plays a key role in advancing the university&rsquo;s digitalization and automation efforts. This role involves designing, developing, and implementing automated solutions using low-code/no-code platforms to improve operational efficiency, minimize manual processes, and boost productivity across departments. The developer ensures quick turnaround in application delivery, provides ongoing platform support, and collaborates closely with stakeholders to identify automation opportunities and deliver scalable, maintainable solution.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 Application Development and Support
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and implement automated solutions using platforms such as Bubble.IO, SharePoint, N8N, API/integration management tools, and BI platforms to streamline university processes.
 </li>
 <li>
 Provide timely support and ensure quick turnaround for departments across the institution.
 </li>
 </ul>
 
 
 
 
 
 User Experience (UX) and User Interface (UI) Design
 
 
 
 
 
 <ul>
 <li>
 Create intuitive, user-friendly interfaces for all solutions. Conduct user testing, gather feedback, and iterate on designs to enhance usability, increase productivity, and meet end-user needs.
 </li>
 <li>
 Exploration of Low-Code/No-Code Platforms
 </li>
 <li>
 Continuously research and evaluate new tools and low-code/no-code platforms beyond Bubble.IO and SharePoint to broaden automation capabilities and support the university&rsquo;s digital transformation initiatives.
 </li>
 </ul>
 
 
 
 
 
 Data Integration, AI-Driven Insights, and Management
 
 
 
 
 
 <ul>
 <li>
 Ensure seamless integration of solutions with existing data sources, maintaining data integrity, security, and compliance. Leverage AI to drive data insights, enabling informed decision-making and automating analytical tasks.
 </li>
 </ul>
 
 
 
 
 
 Integration of AI and AI Agents
 
 
 
 
 
 <ul>
 <li>
 Explore and implement AI technologies and intelligent agents within automation frameworks to enhance efficiency.
 </li>
 <li>
 Focus on automating complex tasks, delivering predictive insights, and supporting strategic digitalization goals across the university and the broader Group.
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Collaboration and Training
 
 
 
 
 
 <ul>
 <li>
 Engage with departments to assess needs, identify automation opportunities, and prioritize initiatives.
 </li>
 <li>
 Provide training and support to promote adoption and effective utilization of developed solutions.
 </li>
 </ul>
 
 
 
 
 
 Documentation, Reporting, and Project Management
 
 
 
 
 
 <ul>
 <li>
 Maintain thorough documentation, including workflows, user guides, and technical specifications.
 </li>
 <li>
 Generate performance reports and manage multiple concurrent projects, ensuring timely delivery and stakeholder satisfaction.
 </li>
 </ul>
 
 
 
 
 
 System Maintenance, Troubleshooting, and Continuous Improvement
 
 
 
 
 
 <ul>
 <li>
 Monitor system performance, resolve technical issues promptly, and implement improvements.
 </li>
 <li>
 Remain up to date with emerging industry trends to continuously enhance solutions in alignment with the university&rsquo;s evolving needs.
 </li>
 </ul>
 
 
 
 
 
 Minimum Educational Qualifications Required for the Role
 
 
 
 
 
 <ul>
 <li>
 Bachelor of Science in Information Technology or Computer Science or Equivalent
 </li>
 </ul>
 
 
 
 
 
 Minimum Years of Experience Required
 
 
 
 
 
 <ul>
 <li>
 Minimum 4 years of experience in software development, with a focus on designing, building, and integrating applications using low-code/no-code platforms such as Bubble.io, SharePoint, or comparable tools.
 </li>
 </ul>
 
 
 
 
 
 Nature of Relevant Experience Required:
 
 
 
 
 
 
 
 Familiarity with Various Low-Code/No-Code Platforms
 
 
 
 
 
 <ul>
 <li>
 Comprehensive knowledge of a range of low-code/no-code platforms such as Bubble.io, Out Systems, Mendix, Appian, Microsoft Power Apps, and Quick Base. Ability to evaluate and select the most suitable platform based on project requirements and effectively integrate it into the existing IT ecosystem.
 </li>
 </ul>
 
 
 
 
 
 Experience with Low-Code/No-Code Development Tools
 
 
 
 
 
 <ul>
 <li>
 Proficiency in utilizing platform-specific tools, including drag-and-drop interfaces, visual modelling, and workflow automation components. Familiarity with platform capabilities and constraints to maximize performance and functionality of applications.
 </li>
 </ul>
 
 
 
 
 
 Programming Skills
 
 
 
 
 
 <ul>
 <li>
 Strong coding experience in languages such as C#, JavaScript, Python, or other relevant programming languages. Capable of extending or customizing low-code/no-code applications as needed to meet complex functional requirements.
 </li>
 </ul>
 
 
 
 
 
 Data Integration and Management
 
 
 
 
 
 <ul>
 <li>
 Expertise in integrating applications with internal and external data sources using APIs, web services, and other integration methods. Proficiency with API and integration management tools such as N8N, Boomi, MuleSoft, or equivalent platforms to ensure seamless interoperability and secure data flow.
 </li>
 </ul>
 
 
 
 
 
 AI and Machine Learning Integration
 
 
 
 
 
 <ul>
 <li>
 Hands-on experience incorporating AI and machine learning into applications to automate data analysis, generate predictive insights, and enhance decision-making. Familiarity with AI tools, frameworks, and large language models (LLMs) for intelligent automation.
 </li>
 </ul>
 
 
 
 
 
 Database Management
 
 
 
 
 
 
 <ul>
 <li>
 Technical proficiency in designing, managing, and querying both SQL and NoSQL databases. Ability to maintain efficient data structures while ensuring data security and integrity.
 </li>
 </ul>
 
 
 
 
 
 User Interface (UI) and User Experience (UX) Design
 
 
 
 
 
 <ul>
 <li>
 Skill in designing intuitive and visually appealing user interfaces. Experience with design tools and frameworks to develop user-centered applications that enhance usability and engagement.
 </li>
 </ul>
 
 
 
 
 
 System Architecture, Deployment, and Collaboration
 
 
 
 
 
 <ul>
 <li>
 Solid understanding of system architecture and experience deploying applications in both cloud and on-premises environments. Capable of configuring, maintaining, and optimizing application servers. Familiar with version control systems such as Git and collaboration/project management tools like JIRA or Trello to support effective teamwork.
 </li>
 </ul>
 
 
 
 
 
 Language - Skills
 
 
 
 
 
 <ul>
 <li>
 English is required
 </li>
 <li>
 Arabic is preferred, but not a requirement.
 </li>
 </ul>
 
 
 
 
 
 Special Skills and Abilities
 
 
 
 
 
 <ul>
 <li>
 Self-Management: Demonstrated ability to complete tasks with minimal supervision, showing initiative and accountability.
 </li>
 <li>
 Multitasking: Capable of effectively managing and progressing multiple projects simultaneously while maintaining quality and meeting deadlines.
 </li>
 <li>
 Time and Schedule Management: Strong organizational skills with the ability to prioritize tasks, manage schedules efficiently, and meet tight deadlines.
 </li>
 <li>
 Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex information clearly and collaborate effectively with diverse stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Key Internal Contacts:
 
 
 
 
 
 
 Daily interactions with:
 
 <ul>
 <li>
 Colleagues within the DATA Department
 </li>
 </ul>
 
 Interactions as needed based on project requirements with:
 
 <ul>
 <li>
 Academic and non-academic departments
 </li>
 <li>
 Colleagues from NEMA Holding
 </li>
 </ul>
 
 
 
 
 
 Key External Contacts:
 
 
 
 
 
 <ul>
 <li>
 Interactions as needed based on project scope and requirements with:
 </li>
 <li>
 Suppliers and service providers
 </li>
 </ul>
 
 
 
 
 You can submit your CV through the link: Business Automation Developer
 
</div>

Business Automation Developer

Inception

<div>
 
 Overview
 
 
 
 We are looking for a Business Analyst to join our customer success team building next-generation, AI-driven products for leading institutional clients. The role sits at the intersection of finance, product innovation, and applied AI, helping translate complex business requirements into structured workflows, insight frameworks, and data-enabled decision tools.
 
 
 You will collaborate with senior stakeholders, product teams, and data scientists to define, validate, and operationalize AI-powered solutions that improve analytical depth, governance, and execution excellence.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platform utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Business Analysis &amp; Product Structuring
 
 
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 Partner with stakeholders to capture business priorities and convert them into clear functional and analytical requirements.
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 Support design of user journeys, workflows, and dashboards for AI-enabled decision-making.
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 Identify opportunities for automation, standardization, and insight generation across critical business processes.
 
 
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 AI Prompt Design &amp; Insight Generation
 
 
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 Contribute to the creation and refinement of AI prompts and templates used for analysis, summarization, and scenario generation.
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 Collaborate with data scientists to test and validate prompt accuracy, ensuring relevance, transparency, and explainability of AI outputs.
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 Maintain libraries of reusable prompt structures, taxonomy mappings, and prompting frameworks.
 
 
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 Data &amp; Insight Governance
 
 
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 Assist in mapping business data requirements, ensuring data lineage, consistency, and quality.
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 Support design of metadata, validation workflows, and traceability standards that underpin explainable insights.
 
 
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 Documentation &amp; Stakeholder Engagement
 
 
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 Prepare professional documentation including functional requirements, user stories, meeting summaries, and executive presentations.
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 Participate in workshops, sprint reviews, and stakeholder discussions to align priorities and track deliverables.
 
 
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 Performance Tracking &amp; Reporting
 
 
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 Consolidate key metrics and milestones into dashboards and management reports.
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 Support post-delivery analysis of business impact and user adoption.
 
 
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 Qualifications
 
 
 
 
 Skills and attributes for success
 
 
 
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 Bachelor&rsquo;s degree in Business, Finance, Computer Science, or a related field; advanced degree or certification in business analysis is a plus.
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 3+ years of experience in business analysis, consulting, or digital transformation within financial institutions, investment firms, or asset-management environments.
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 Mandatory experience or deep exposure to at least one of: Private Equity, Venture Capital, or Investment Banking &ndash; including deal evaluation, due diligence, or fund management workflows.
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 Proven ability to translate complex business requirements into structured analytical frameworks and documentation.
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 Familiarity with AI/ML systems, prompt engineering, or generative-AI applications for insight generation (prior hands-on experience a strong plus).
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 Strong communication, analytical, and stakeholder-management skills.
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 Proficiency in Excel, PowerPoint, Miro, Jira, Confluence, or equivalent tools.
 
 
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 What We Look For
 
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 
 What Working At Inception Offers
 
 
 
 
 
 Culture:
 
 
 An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 
 
 Career:
 
 
 Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 
 
 Work-Life:
 
 
 A hybrid work policy to strike the perfect balance between office and home.
 
 
 
 
 Rewards:
 
 
 A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
 
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Business Analyst

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