business analyst

data scientist

design manager

power bi developer

senior architect

data architect

Andersen Lab

The IT company Andersen invites a Data Architect in Abu Dhabi to join its team for working with a company from the UAE.The customer is a government entity that manages public affairs and oversees various corporate and philanthropic projects. The company is embarking on a transformative digital journey to enhance its operational efficiency and customer experiences.The project focuses on digital transformation in the UAE to develop and support digital solutions, enhance social services, strengthen public engagement, advance international relations, and optimize administrative processes.Responsibilities:- Designing and evolving data architecture across ingestion, transformation, storage, and consumption layers.- Defining data modeling strategies (conceptual, logical, physical) for structured and unstructured data.- Architecting data lakes and lakehouses (Delta Lake, Iceberg, Hudi) with bronze-silver-gold layering.- Leading implementation of ETL/ELT pipelines using Airflow, dbt, Talend, Informatica.- Ensuring data governance, lineage, and metadata management using tools like Apache Atlas, DataHub, Collibra.- Collaborating with AI/ML teams to prepare data for model training, including feature engineering and data tagging.- Integrating streaming solutions (Kafka, Flink, Spark Streaming) for real-time data processing.- Implementing security frameworks: RBAC, row-level security, encryption, GDPR/HIPAA compliance.- Supporting BI and analytics platforms (Tableau, Oracle Analytics) with well-structured data models.- Guiding CI/CD for data pipelines, containerization (Docker), and orchestration (Kubernetes).- Documenting architectural decisions, integration diagrams, and security models.Must-have:- Experience in data architecture, data engineering, or solution architecture roles for 8+ years.- Hands-on expertise with Oracle technologies.- Proven experience designing scalable data platforms in hybrid (cloud + on-prem) environments.- Strong understanding of data governance, security, and compliance.- Experience with AI/ML data preparation and orchestration pipelines.- Excellent communication and documentation skills.- Bachelor's or Master's degree in Computer Science, Data Science, or related field. - Level of English &ndash; from Upper-Intermediate and above.Nice-to-haves:- Experience with LLM integration and AI orchestration tools (e.g., Alteryx).- Familiarity with mobile data consumption architecture.- Certifications in cloud platforms (Azure, AWS, GCP).Reasons why this job would be interesting to you:- Experience in teamwork with leaders in FinTech, Healthcare, Retail, Telecom, and others. Andersen cooperates with such businesses as Samsung, Siemens, Johnson &amp; Johnson, BNP Paribas, Ryanair, Mercedes, TUI, Verivox, Allianz, T-Systems, etc..- The opportunity to change the project and/or develop expertise in an interesting business domain.- Job conditions &ndash; you can work both fully remotely and from the office or can choose a hybrid variant.- Guarantee of professional, financial, and career growth! The company has introduced systems of mentoring and adaptation for each new employee.- The opportunity to earn an additional up to 1,000 USD per month by participating in the company's activities.- Access to the corporate training portal, where the entire knowledge base of the company is collected and which is constantly updated.- Bright corporate life (parties / pizza days / PlayStation / fruits / coffee / snacks / movies).- Certification compensation (AWS, PMP, etc).- Referral program.- English courses.- Private health insurance and compensation for sports activities.Join us!Your personal data is protected in accordance with GDPR regulations. Learn more: https://andersenlab.com/privacy-policyhttps://people.andersenlab.com/Job Types: Full-time, PermanentPay: AED26,000.00 - AED35,000.00 per month

Data Architect

Acenet consulting

<div><div>Experience: 7 to 13 years
 
Location: Abu Dhabi
 
Job code: 101347
 
Posted on: Oct 08, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. 
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary: 
We are seeking a highly experienced and strategic Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. This critical role will be responsible for defining the architecture roadmap and making key decisions regarding the modernization of the data landscape, specifically managing the transition from legacy systems to a unified, high-performance platform centered around Data Warehouse, Data Lake, Data Security and Master Data Management (MDM) services. The ideal candidate possesses deep technical expertise, a strategic mindset, and a proven ability to govern complex data environments to enable advanced Enterprise Data Analytics.
<div>Key Responsibilities: 
<ul><li>Strategic Architecture &amp; Decision Making, Design &amp; Strategy: Define the conceptual, logical, and physical data architecture blueprint, making critical decisions on technology selection, integration patterns, and data flow to align with business strategy.</li><li>Modernization Roadmapping: Lead the planning and execution of the data migration strategy from existing legacy systems to new, standard enterprise platforms.</li><li>Data Platform Management: Define the target state architecture for core data assets, including the optimal deployment, management, and interaction between the Data Warehouse and the Data Lake.</li><li>Performance &amp; Scalability: Ensure the data architecture is robust, highly available, and scalable to meet current and future demands of high-volume data ingestion and complex analytical queries.</li><li>Data Governance &amp; Master Data Management (MDM), MDM Implementation: Own the Master Data Management strategy and architecture, ensuring the accurate definition, governance, and synchronization of critical enterprise data (Customer, Product, Location, etc.) across all new systems.</li><li>Data Security &amp; Compliance: Architect and enforce security and access control policies (e.g., encryption, masking, role-based access) across all data layers, particularly for sensitive data originating from systems like EMR (HIPAA/PHI) and Cybersecurity.</li><li>Data Quality &amp; Lineage: Establish and enforce enterprise data quality standards, metadata management, and data lineage tracking to ensure data trust and regulatory compliance.</li><li>Enterprise Data Analytics &amp; Business Enablement, Analytics Blueprint: Design the data models (dimensional, normalized, Data Vault) within the Data Warehouse and Data Lake to optimize data access for advanced Enterprise Data Analytics, Business Intelligence (BI), and Machine Learning (ML) use cases.</li><li>Integration: Define robust ETL/ELT strategies and pipelines to efficiently ingest, transform, and load data from diverse operational sources into the analytical platforms.</li><li>Stakeholder Alignment: Collaborate with business leaders, data scientists, and analysts to translate complex business requirements into tangible, high-value data architecture solutions.</li></ul></div>
<div>Role Requirements and Qualifications: 
<ul><li>7+ years of progressive experience in Data Architecture, with at least 3 years in a senior, decision-making capacity for an enterprise-level data platform.</li><li>Experience with Data Governance tools (e.g., Collibra, Informatica Axon) or Data Catalogs.</li><li>Extensive experience with Data Warehouse management and design, including performance tuning and large-scale deployment.</li><li>Mandatory experience designing and managing Data Lake services and architectures (e.g., using major cloud providers like AWS, Azure, OCI or GCP).</li><li>Deep, hands-on expertise in Master Data Management (MDM) principles and technologies, including experience selecting and implementing an MDM solution.</li><li>Proven track record of success in leading large-scale system migration or data integration projects, specifically moving from older, disparate systems to standard ERP/CRM/Clinical systems.</li><li>Expert knowledge of data modeling techniques (Conceptual, Logical, Physical), SQL, NoSQL, and modern data streaming/processing frameworks.</li><li>Strong understanding of security frameworks and regulatory compliance requirements relevant to data (e.g., HIPAA, GDPR, CCPA).</li><li>Excellent communication, negotiation, and presentation skills, with the ability to articulate complex architectural concepts to both technical teams and C-level stakeholders.</li><li>Direct experience integrating data from Oracle Fusion, MS Dynamics, and Clinical systems.</li><li>Experience working in healthcare IT industry.</li><li>Certifications such as TOGAF, CDMP, or specialized cloud data certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer)</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

Senior Data Architect (Enterprise Modernization & Analytics)

World Wide Technology

<div><h2 class="jobSectionHeader">You Should Have</h2>
<ul><li>10+ years in security architecture, ideally with experience in AI, HPC, or large-scale data platforms.</li>
<li>Deep expertise in IAM, encryption, isolation strategies, audit logging, and network security in hybrid environments.</li>
<li>Deep expertise with Security frameworks such as NIST, CIS&hellip;</li>
<li>Strong understanding of AI-specific security risks: model theft, data leakage, dataset poisoning, and LLM risks.</li>
<li>Experience working with cloud platforms (ex: AWS, Microsoft, GCP), container orchestration (Kubernetes, Run:AI, etc.) and multi-tenancy; including hard and soft partitioning.</li>
<li>Experience leading technical workshops with customers staff up to an including C-level.</li>
<li>Proven ability to work across engineering, legal, and business teams to define and communicate risk postures.</li>
<li>Experience building security models, compliance plans, or technical controls documentation.</li>
<li>Deep expertise with SaaS/AI (TSA, ANSSI, ENISA) regulatory requirements including GDPR, DORA, EU AI Act, &amp; UAE compliance frameworks.</li>
<li>Demonstrated ability to contribute to CxO discussions, investment cases, and board-level strategy.</li>
<li>Strong presentation and influence skills&mdash;able to guide both technical teams and senior leadership.</li>
<li>Industry certifications (e.g., CISSP, CCSP, CCSK) a plus but not required.</li>
</ul>
Do we need to prescribe this?

We can then add things like TSA, ANSSI, ENISA as they are more general but have have applicability to cloud, networking, AI etc
Requirements:
<h1 class="jobSectionHeader">Job Description: Principal AI Security Architect &ndash; Pre-Sales</h1>
<h2 class="jobSectionHeader">Location: UAE &ndash; Travel up to 50% across EU, UK, and Middle East for technical design workshops, and on-site infrastructure assessments.</h2>
<h2 class="jobSectionHeader">About WWT</h2>

World Wide Technology (WWT) is a global technology integrator and supply chain solutions provider that brings an innovative and proven approach to how organizations around the world discover, evaluate, architect and implement technology. Through our culture of innovation, we inspire, build and deliver business results, from idea to outcome. WWT was an early investor in AI, starting to build its Data Science practice over decade ago, focusing on the advancement of Machine learning, Deep learning and Large Language Model.
<h2 class="jobSectionHeader">About the Role</h2>

As enterprises accelerate AI adoption, the security landscape is becoming increasingly complex&mdash;from model leakage and dataset poisoning to unauthorized inference and cross-border data governance. Organizations investing in AI infrastructure don't just require performance&mdash;they require trust.

In this role, you will serve as the AI security domain expert within our technical pre-sales and go-to-market team. Your primary responsibility is to help customers architect and validate secure AI infrastructure&mdash;spanning deployment models, data pipelines, access control, and regulatory compliance across regions.

This role extends beyond technical execution. You'll shape customer cyber risk postures, support board-level security strategy, and contribute to security narratives for regulatory reviews, PE/VC due diligence, and long-term planning.

You'll work across a diverse set of stakeholders&mdash;including OEMs, hyperscalers, legal/compliance leaders, and enterprise CISOs&mdash;to bridge technical risk with business clarity. Your insights will influence AI reference architectures, global security playbooks, and the design of sovereign-ready infrastructure at scale.
<h2 class="jobSectionHeader">
Key Responsibilities</h2>
<ul><li>Lead pre-sales engagements to define secure, compliant AI infrastructure for GSP customers.</li>
<li>Contribute content to account team to support RFX responses (RFI,RFQ)</li>
<li>Design and validate security controls across AI pipelines&mdash;data ingestion, training, inference, and audit logging.</li>
<li>Define strategies for encryption, access control, model protection, and multitenancy isolation.</li>
<li>Embed security into reference architectures alongside OEMs, cloud providers, and internal delivery teams.</li>
<li>Advise on regulatory alignment with GDPR, NIS2, UAE privacy law, and the EU AI Act.</li>
<li>Support executive briefings, investment cases, and audit readiness materials for PE/VC boards and CISOs.</li>
<li>Create reusable SOW content, security patterns, and compliance templates for repeatable deployments.</li>
<li>Stay current on emerging threats: adversarial ML, prompt injection, data poisoning, and LLM misuse.</li>
<li>Serve as a trusted advisor to customer CISOs, CTOs, and compliance leaders on secure AI architecture.</li>
</ul><h2 class="jobSectionHeader">You Should Have</h2>
<ul><li>10+ years in security architecture, ideally with experience in AI, HPC, or large-scale data platforms.</li>
<li>Deep expertise in IAM, encryption, isolation strategies, audit logging, and network security in hybrid environments.</li>
<li>Deep expertise with Security frameworks such as NIST, CIS&hellip;</li>
<li>Strong understanding of AI-specific security risks: model theft, data leakage, dataset poisoning, and LLM risks.</li>
<li>Experience working with cloud platforms (ex: AWS, Microsoft, GCP), container orchestration (Kubernetes, Run:AI, etc.) and multi-tenancy; including hard and soft partitioning.</li>
<li>Experience leading technical workshops with customers staff up to an including C-level.</li>
<li>Proven ability to work across engineering, legal, and business teams to define and communicate risk postures.</li>
<li>Experience building security models, compliance plans, or technical controls documentation.</li>
<li>Deep expertise with SaaS/AI (TSA, ANSSI, ENISA) regulatory requirements including GDPR, DORA, EU AI Act, &amp; UAE compliance frameworks.</li>
<li>Demonstrated ability to contribute to CxO discussions, investment cases, and board-level strategy.</li>
<li>Strong presentation and influence skills&mdash;able to guide both technical teams and senior leadership.</li>
<li>Industry certifications (e.g., CISSP, CCSP, CCSK) a plus but not required.</li>
</ul>
Do we need to prescribe this?

We can then add things like TSA, ANSSI, ENISA as they are more general but have have applicability to cloud, networking, AI etc</div>

Principal AI Security Architect

CloudJune Technologies LLC

Job SummaryAs a Senior Data Engineer, you will be a foundational architect, responsible for designing, building, and maintaining the robust, scalable, secure, and high-performance data infrastructure that powers our AI/ML initiatives. You will work closely with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and Software Engineers to ensure the seamless flow of data from diverse government sources into our AI/ML pipelines, enabling the development and deployment of impactful intelligent applications across Abu Dhabi.What You'll Do:&#9679; Design, build, and maintain scalable and reliable data pipelines for ingesting, transforming, and storing large and complex datasets from various government sources (structured, semi-structured, and unstructured).&#9679; Architect and implement data warehousing and data lake solutions on cloud platforms (primarily Azure) to provide a centralized and accessible data foundation for AI/ML and analytics.&#9679; Develop and optimize ETL/ELT processes using industry-standard tools and technologies (e.g., Azure Data Factory, Databricks, Kafka) to ensure data quality, integrity, and efficient processing.&#9679; Implement and manage data governance policies and procedures, ensuring data security, compliance with government regulations, and adherence to data quality standards.&#9679; Collaborate with Data Scientists and AI Engineers to understand their data requirements and build data pipelines that meet their specific needs for model development and evaluation.&#9679; Work closely with AIOps/MLOps Engineers to ensure seamless integration of data pipelines with AI/ML workflows and deployment processes.&#9679; Design and implement data monitoring and alerting systems to proactively identify and resolve data quality issues and pipeline failures.&#9679; Optimize data storage and retrieval systems for performance and cost-efficiency, leveraging appropriate database technologies (relational, NoSQL, vector, graph).&#9679; Implement data security measures including access control, encryption, and data masking to protect sensitive government data.&#9679; Develop and maintain data catalogs and data lineage solutions to ensure data discoverability, understand data flow, and facilitate data governance.&#9679; Evaluate and adopt new data engineering tools and technologies to continuously improve our data infrastructure and processes.&#9679; Troubleshoot and resolve data-related issues across the data lifecycle, ensuring data availability and reliability for AI/ML and analytics.&#9679; Document data pipelines, data models, and data engineering processes clearly and concisely for both technical and non-technical stakeholders.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field with a strong focus on data management and infrastructure.&#9679; At least 3 years of hands-on experience in designing, building, and maintaining data pipelines and data infrastructure in a production environment.&#9679; Deep understanding of data warehousing concepts, data modeling techniques (e.g., Kimball, Inmon), and data lake architectures.&#9679; Proven experience with cloud platforms, especially Microsoft Azure, and their data engineering services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks).&#9679; Extensive experience with ETL/ELT tools and technologies (e.g., Apache Spark, Apache Kafka, SQL).&#9679; Strong proficiency in SQL and experience with various database systems, including:&#9675; Relational Databases: (e.g., PostgreSQL, SQL Server, Azure SQL Database).&#9675; NoSQL Databases: (e.g., MongoDB, Cassandra, Azure Cosmos DB).&#9675; Vector Databases: (e.g., Milvus, Pinecone, ChromaDB - understanding their data ingestion and retrieval aspects).&#9675; Graph Databases: (e.g., Neo4j, ArangoDB - understanding their data modeling and querying aspects).&#9679; Strong scripting and programming skills in languages such as Python or Scala for data processing and automation.&#9679; Experience with data governance frameworks, data quality management, and data security principles.&#9679; Experience with data monitoring and alerting tools.&#9679; Excellent problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues.&#9679; Strong collaboration and communication skills, with the ability to work effectively with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and other stakeholders.&#9679; A proactive and detail-oriented approach with a strong focus on building robust and reliable data infrastructure.Bonus Points For:&#9679; Experience with data virtualization technologies.&#9679; Experience with building real-time data pipelines.&#9679; Knowledge of data lineage and data catalog tools (e.g., Azure Purview).&#9679; Experience with implementing data mesh concepts.&#9679; Familiarity with infrastructure-as-code (IaC) tools (e.g., Terraform, ARM templates) for data infrastructure provisioning.&#9679; Certifications in relevant cloud platforms or data engineering technologies.&#9679; Experience working with government data regulations and compliance standards.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>data pipelines and data infra in a production env: 5 years (Required)</li><li>ETL/ELT tools and tech, Apache Spark, Apache Kafka, SQL: 5 years (Required)</li><li>AI/ML development : 3 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

Senior Data Engineer

Deeplight

<div>Role Summary
We are seeking an accomplished Senior Data Modeller with a strong track record in banking and consulting environments. The role involves leading the design, governance, and optimization of enterprise-wide data models, ensuring high-quality, scalable, and compliant data structures that support critical financial operations, regulatory reporting, advanced analytics, and AI. The ideal candidate combines deep technical expertise with business acumen from financial services and the ability to deliver structured solutions in complex consulting projects.
Requirements
Key Responsibilities<ul>
<li>Lead the development, implementation, and maintenance of enterprise data models across banking products, risk, treasury, and regulatory domains.</li>
<li>Establish and enforce data modeling standards and governance frameworks tailored for highly regulated financial institutions.</li>
<li>Partner with Data Architects, Engineers, and Business Analysts to ensure data models align with both business needs and regulatory requirements (Basel III, IFRS, BCBS 239, AML/KYC).</li>
<li>Translate complex banking processes (credit, risk, treasury, payments, capital markets) into structured and reusable data models.</li>
<li>Oversee data lineage, metadata, and master data entities, ensuring transparency and traceability for audits and compliance.</li>
<li>Manage impact analysis for schema and structural changes, ensuring minimal disruption to core banking operations and reporting.</li>
<li>Collaborate with consulting partners and internal teams to drive data transformation programs, system migrations, and cloud adoption.</li>
<li>Deliver data model strategies that enable AI/ML initiatives, stress testing, scenario analysis, and customer analytics.</li>
<li>Mentor and guide data modelers, embedding consulting-grade delivery standards.</li>
</ul>Required Qualifications<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Information Systems, or Finance/Engineering.</li>
<li>10+ years of experience in data modeling, including banking sector exposure and consulting/Big 4/strategy firm project delivery.</li>
<li>Proven ability to design and implement conceptual, logical, and physical data models for banking domains(risk, finance, treasury, compliance, customer data).</li>
<li>Proficiency with data modeling tools (e.g., Erwin, ER/Studio, SAP PowerDesigner).</li>
<li>Strong knowledge of relational databases (Oracle, SQL Server, PostgreSQL) and modern platforms (Snowflake, BigQuery, Redshift).</li>
<li>Experience in data governance, metadata management, and regulatory reporting data structures.</li>
<li>Familiarity with cloud platforms (AWS, Azure, GCP) and modern architectures (data lakes, data mesh).</li>
<li>Excellent stakeholder management with experience presenting to C-levels in banks and financial regulators.</li>
</ul>Preferred Qualifications<ul>
<li>Previous experience in top consulting firms (Big 4, Accenture, Capgemini, or similar).</li>
<li>Hands-on involvement in banking transformation programs, such as core banking replacement, regulatory reporting modernization, or data strategy engagements.</li>
<li>Exposure to NoSQL/graph databases (Neo4j, MongoDB) and AI-driven modeling approaches.</li>
<li>Professional certifications (e.g., CDMP, DAMA, AWS/Azure Data Architect, CFA/FRM for financial context) are highly desirable.</li>
</ul>Tools &amp; Technologies (Relevant Exposure)<ul>
<li>Data Modeling: Erwin, ER/Studio, PowerDesigner</li>
<li>Banking Systems: Temenos, Finacle, Murex, Calypso</li>
<li>Databases: Oracle, SQL Server, PostgreSQL, Snowflake, BigQuery, Redshift</li>
<li>Governance: Collibra, Informatica, Alation</li>
<li>Analytics &amp; BI: Tableau, Power BI, SAS, Qlik</li>
<li>Regulatory/Finance Context: Basel III, IFRS, BCBS 239, ICAAP/ILAAP frameworks</li>
</ul>Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

Senior Data Modeler

<div>Role Summary
We are seeking a Lead Data Modeller to drive critical data gap analysis and modelling work across our AI and transformation initiatives. This is a forward-looking role at the intersection of business, data, and consulting: the successful candidate will partner with business SMEs and senior stakeholders to understand requirements, map them to existing data assets, identify gaps, and structure findings into clear recommendations for decision-makers.
The Lead Data Modeller will combine a strong grounding in banking data domains with the ability to think ahead about the future of data modelling and discovery how emerging technologies such as Generative AI, and intelligent metadata tools will reshape how we design, manage, and discover data.
Requirements
Key Responsibilities<ul><li>
Lead the gap analysis of data requirements vs. existing assets, producing clear mappings and structured outputs.</li><li>
Translate AI use cases and regulatory/business needs into conceptual and logical data models.</li><li>
Engage with SMEs across Risk, Finance, Treasury, and CIB/RBG to elicit requirements and validate data assumptions.</li><li>
Assess and document data quality, integrity, and coverage gaps, and recommend remediation paths.</li><li>
Build reusable data models and dictionaries aligned with enterprise data strategy and governance.</li><li>
Partner with engineers and architects to ensure future-proof designs, factoring in how AI-driven tools will evolve the modelling landscape.</li><li>
Produce clear deliverables (models, frameworks, recommendations) for senior stakeholders and governance forums.</li><li>
Mentor and guide junior analysts/consultants to uplift overall modelling capability.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Finance, Engineering, Computer Science, or related field.</li><li>
8&ndash;12 years&rsquo; experience in data modelling, data strategy, or data-driven consulting, with exposure to banking/financial services.</li><li>
Proven ability to translate business problems into structured data requirements and communicate them clearly.</li><li>
Experience in conceptual and logical data modelling (not just physical schema design).</li><li>
Strong consulting toolkit: structured problem-solving, stakeholder management, clear communication.</li><li>
Solid understanding of banking domains (CRM/Client 360, Risk, Finance, Treasury, regulatory reporting).</li><li>
Hands-on experience with data modelling tools but also a forward-looking perspective on next-gen approaches.</li><li>
Proficiency in querying databases (SQL) sufficient to validate and profile data.</li></ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

Lead Data Modeler

Hays

<div>
 
 
 Location:
 
 Abu Dhabi, United Arab Emirates
 
 
 
 Industry:
 
 Quantitative Research
 
 
 
 
 
 We are looking for a highly motivated and experienced
 
 Lead Data Scientist
 
 to head our data science team in Abu Dhabi.
 
 
 
 
 
 
 About the Role:
 
 
 
 As Lead Data Scientist, you will be responsible for defining and implementing advanced data science solutions, leading a team of 10 professionals. This role requires strong technical expertise, strategic leadership, and hands-on involvement in developing machine learning architectures and models.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Provide technical leadership to a team of data scientists and machine learning engineers.
 </li>
 <li>
 Design and implement data solutions for applications in BFSI, quantitative research, and asset management.
 </li>
 <li>
 Develop and optimize ML models, including LLMs and NLP pipelines, in multi-GPU environments.
 </li>
 <li>
 Define scalable and robust architectures for data processing and predictive modeling.
 </li>
 <li>
 Act as the team&rsquo;s technical reference, promoting best practices and continuous innovation.
 </li>
 <li>
 Communicate technical insights clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data capabilities into products and workflows.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 7+ years of experience in applied data science within BFSI, quantitative research, or asset management.
 </li>
 <li>
 Proven experience in technical leadership and team management.
 </li>
 <li>
 Strong expertise in Machine Learning, LLMs, NLP, and foundational models.
 </li>
 <li>
 Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, among others.
 </li>
 <li>
 Ability to work hands-on in complex technical environments.
 </li>
 <li>
 Excellent communication skills in English (written and verbal).
 </li>
 </ul>
 
 
 
 
 
 Academic Background:
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in relevant fields, preferably from top-tier universities (Ivy League, Oxbridge, ETH, etc.)
 </li>
 </ul>
 
 
 
 
 
 What We Offer:
 
 
 <ul>
 <li>
 Competitive, tax-free salary.
 </li>
 <li>
 Visa sponsorship (if needed).
 </li>
 <li>
 Health insurance for you and your family.
 </li>
 <li>
 Annual return ticket to your home country.
 </li>
 </ul>
 
 
</div>

Lead Data Scientist

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