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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

Aventus

<div>
 
 
 Senior Manager &ndash; Portfolio Data &amp; AI
 
 
 
 
 
 
 Are you passionate about driving digital transformation through Data &amp; AI? This is an exciting opportunity to join a leading UAE-based organization as a
 
 Senior Manager &ndash; Portfolio Data &amp; AI
 
 , where you will play a key role in shaping and delivering cutting-edge technology and AI initiatives across diverse portfolios.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 As Senior Manager &ndash; Portfolio Data &amp; AI, you will:
 
 <ul>
 <li>
 Lead
 
 data, analytics, and AI implementation projects
 
 with measurable business impact.
 </li>
 <li>
 Oversee
 
 technology transformation initiatives
 
 , ensuring projects are delivered on time and within budget.
 </li>
 <li>
 Guide digital engineering and automation initiatives to drive efficiency and scalability.
 </li>
 <li>
 Assess and evaluate emerging technologies, vendors, and solutions to ensure strategic alignment.
 </li>
 <li>
 Translate complex technical concepts into business value for senior stakeholders.
 </li>
 <li>
 Collaborate across functions &ndash; including portfolio management, finance, strategy, and compliance &ndash; to enable enterprise-wide adoption of Data &amp; AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Candidate Requirements
 
 
 
 
 
 <ul>
 <li>
 
 10&ndash;15 years&rsquo; experience
 
 in technology, digital, or AI-driven transformation, with at least
 
 7 years in a managerial role
 
 .
 </li>
 <li>
 Proven expertise in
 
 data management, AI models, machine learning, and automation
 
 .
 </li>
 <li>
 Strong project delivery track record in consulting, digital implementation, or operational technology roles.
 </li>
 <li>
 Technical fluency with
 
 architecture design, software development practices, and scaling technology solutions
 
 .
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, or Artificial Intelligence (Master&rsquo;s preferred).
 </li>
 <li>
 Excellent
 
 stakeholder management, communication, and problem-solving
 
 skills.
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re a technology leader with a passion for Data &amp; AI transformation, apply now to explore this opportunity.
 
 
 
</div>

Senior Manager Data & AI

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)

Miral Group

A leading entertainment company in Abu Dhabi is seeking a Data Science Senior Manager to lead data science projects and mentor a team. The role involves designing and implementing models to shape data-driven strategies in the leisure and entertainment sector. Ideal candidates will have an advanced degree in Data Science and over 8 years of relevant experience. The position offers an opportunity to influence business decisions through AI and advanced analytics.

Senior Data Science Manager - Drive AI & Analytics Strategy

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

Overview As a Business Analyst, you will be instrumental in ensuring that Inception's AI solutions meet the operational and strategic needs of our clients. This role requires strong analytical skills, client-focused problem-solving abilities, and expertise in understanding and translating client requirements into actionable insights for cross-functional teams. Working closely with customer success and delivery teams, you will support the Director - Customer Success in optimizing solution delivery, enhancing client satisfaction, and improving overall service quality.Inception is the UAE'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&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 Client Requirements Gathering & Analysis<ul><li>Collaborate with clients to understand their business goals, challenges, and requirements, ensuring solutions are aligned with their strategic objectives.</li><li>Conduct in-depth business analysis to translate client needs into technical requirements, workflows, and specifications for development and delivery teams.</li><li>Document and maintain a detailed record of client requirements, use cases, and deliverables, providing clarity and direction throughout the solution lifecycle.</li></ul>Data Analysis & Insights Generation<ul><li>Analyze client and operational data to identify trends, performance gaps, and opportunities for improvement, supporting data-driven decision-making.</li><li>Generate actionable insights from data analysis to recommend enhancements in delivery processes and client engagement practices.</li><li>Develop reports, dashboards, and visualizations to communicate key findings and progress updates to internal stakeholders and clients.</li></ul>Process Improvement & Optimization<ul><li>Identify areas for process improvement within the delivery organization, proposing and implementing changes to enhance efficiency, quality, and client satisfaction.</li><li>Collaborate with cross-functional teams to streamline delivery processes, enabling scalability and consistency in client experiences.</li><li>Support the Director - Customer Success in implementing best practices for project management, documentation, and communication.</li></ul>Cross-functional Collaboration & Stakeholder Management<ul><li>Act as a liaison between client-facing and technical teams, ensuring clear communication and alignment on client requirements and delivery timelines.</li><li>Work closely with product, engineering, and customer success teams to ensure smooth delivery and continuous improvement of solutions.</li><li>Assist in coordinating workshops, training sessions, and regular client meetings, gathering feedback and documenting outcomes for continuous improvement.</li></ul> Qualifications Skills and attributes for success<ul><li>Bachelor's degree in Business, Finance, Computer Science, or a related field; advanced degree or certification in business analysis is a plus.</li><li>3+ years of experience as a business analyst or in a similar role within a delivery-focused or technology-driven environment.</li><li>Strong analytical and problem-solving skills, with a proven track record of translating client requirements into actionable insights.</li><li>Excellent written and verbal communication skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.</li><li>Proficiency in data analysis and visualization tools (e.g., Excel, Tableau, Power BI) and familiarity with project management tools (e.g., Jira, Asana).</li><li>Knowledge of AI, machine learning, or SaaS products is a plus, as well as experience in the financial or technology sectors.</li></ul> 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 & 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.To Apply: If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Business Analyst

Explore 1351+ Data delivery manager data science ai focus in Abu Dhabi Jobs In Abu Dhabi United Arab Emirates this November. Find roles across top companies and apply now to boost your career.