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enterprise data architect

data modeler

Central Bank of Oman

<div>
 
 
 Data Modeler
 
 
 
 
 
 
 Central Bank of Oman is seeking to Recruit Competent, Committed, Self-motivated and Enthusiastic Omani Candidate as Data Modeler.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 
 
 
 
 
 The Data Modeler is responsible for designing and maintaining conceptual, logical, and physical data models related to aspects of master data and metadata in order to support enterprise data management, analytics and governance objectives. This role ensures data integrity, accuracy, and relevance through robust modelling practices, collecting, curating and managing metadata, managing master data practices as well as enabling insightful analysis aligned with regulatory and policy objectives. It supports decision-making by transforming raw data into actionable insights and helps maintain a reliable data foundation across the organization.
 
 
 
 
 
 
 
 Key duties and Tasks:
 
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain conceptual, logical, and physical data models to support data collections and internal analytics of CBO.
 </li>
 <li>
 Work closely with business users, policy experts, and IT teams to gather data requirements and translate them into effective data models.
 </li>
 <li>
 Understand the linkages to master and reference data as well as the meta data requirements when engaging with business users
 </li>
 <li>
 Document metadata, data definitions, lineage, and relationships to support governance and transparency.
 </li>
 <li>
 Support the integration of data from multiple internal and external sources into a centralized data warehouse or data lake environment.
 </li>
 <li>
 Ensure consistency and quality of data models across projects, aligning with enterprise architecture standards.
 </li>
 <li>
 Collaborate with internal stakeholders (supervision, policy, legal, IT) to establish and enforce data standards, naming conventions, and classification schemas.
 </li>
 <li>
 Monitor and manage data quality, conduct root-cause analysis of data issues, and implement corrective actions.
 </li>
 <li>
 Collaborate with data stewards and data governance teams to maintain data quality and standards.
 </li>
 <li>
 Support the integration and alignment of master data with external reference sources (e.g., LEI, SWIFT BIC, national identifiers).
 </li>
 <li>
 Develop, implement, and maintain enterprise metadata standards, procedures, and repositories.
 </li>
 <li>
 Document and manage business and technical metadata for key data assets, including regulatory reporting data, reference data, and analytics datasets.
 </li>
 <li>
 Collaborate with data stewards, analysts, and IT teams to collect metadata from various systems and data sources.
 </li>
 <li>
 Create and maintain data dictionaries, glossaries, and lineage documentation that support data quality, transparency, and compliance
 </li>
 <li>
 Generate reports and dashboards using BI tools to support internal stakeholders and reporting functions.
 </li>
 <li>
 Contribute to regulatory innovation projects, including adoption of SupTech/RegTech solutions and advanced analytics.
 </li>
 <li>
 Support data validation and reconciliation activities, particularly in the context of data submissions and the data engineering activities.
 </li>
 <li>
 Monitor metadata quality and completeness and drive improvements across data domains.
 </li>
 </ul>
 
 
 
 
 
 
 Minimum Qualifications and Experience:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information systems, Data Management, Computer Science, Statistics, or a related field.
 </li>
 <li>
 4 to 6 years of experience in data modelling, data analysis, or business intelligence roles.
 </li>
 <li>
 An additional 2 -3 years of experience addressing/ managing metadata and/ or master data management.
 </li>
 </ul>
 
 
 
 
 
 
 Desirable Qualifications and Experience:
 
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in data Analytics, Data Science, Financial Engineering, or a related field.
 </li>
 <li>
 Certifications in data modelling, analytics, or business intelligence (e.g., CBIP, CDMP, DAMA, Power BI certification).
 </li>
 <li>
 Familiarity with regulatory metadata standards and frameworks (e.g., XBRL taxonomies, ISO 11179).
 </li>
 <li>
 Familiarity with international financial identifiers (e.g., LEI, CUSIP, ISIN, etc.).
 </li>
 <li>
 Experience working in financial services, regulatory agencies, central banks, or government institutions.
 </li>
 <li>
 Familiarity with supervisory data collection processes, financial institution reporting, or prudential supervision.
 </li>
 <li>
 Participation in enterprise data integration or modernization initiatives.
 </li>
 <li>
 Experience contributing to data governance or metadata management programs.
 </li>
 <li>
 Familiarity with regulatory submissions, supervisory reporting and analysis.
 </li>
 <li>
 Participation in MDM implementation and data transformation/ cleansing projects.
 </li>
 </ul>
 
 
 
 
 
 Please Submit your application before 27th December 2025.
 
 
 
 
</div>

Data Modeler

Mile high ventures

Position: Technical Interior / Architectural 3D ModelerWe are looking for a detail-focused 3D modeler with an interior design or architecture background.This role is not for pure CGI or decorative rendering. We need someone who understands space, proportions, furniture, and real-world logic, and can build accurate 3D models before any rendering or styling.You will work directly with the Design Director. Design direction is provided, your responsibility is to deliver a clean, logical, technical correct base model.Responsibilities<ul><li>Create accurate 3D models from plans and written instructions</li><li>Start projects with white models only (no colors, no styling)</li><li>Model wardrobes, dressing rooms, kitchens, islands, and custom furniture</li><li>Ensure correct dimensions, clearances, and realistic proportions</li><li>Prepare clean files for rendering or coordinate with a remote visualizer</li></ul>Requirements<ul><li>Interior Design or Architecture background</li><li>Strong technical modeling skills</li><li>Good understanding of furniture and joinery basics</li><li>Comfortable using AI tools for references or workflow support</li><li>Able to work remotely or based in Oman / UAE</li></ul>Salary<ul><li>400 OMR / month (fixed)</li><li>Full-time, long-term role</li><li>Performance review after probation</li></ul>How to Apply Send your application by email (details will be shared privately). Applications without answers to the screening questions will not be reviewed.Male or Female - skill and logic matter.Job Types: Full-time, Permanent, Contract Contract length: 24 monthsPay: RO400.000 per monthApplication Question(s):<ul><li>Background (Interior Design / Architecture / Other)</li></ul>Preference: technical detailing vs rendering (and why) What they check first before rendering a dressing room Meaning of &ldquo;white model first&rdquo; Experience with custom furniture / joinery AI tools used (if any) 1&ndash;2 examples of clean, logical modelingEducation:<ul><li>Bachelor's (Preferred)</li></ul>

Technical Interior/Architectural 3D Modeler

<div>
 
 
 Enterprise Data Architect
 
 
 
 
 
 
 Central Bank of Oman is seeking to Recruit Competent, Committed, Self-motivated and Enthusiastic Omani Candidate as Enterprise Data Architect.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 
 
 
 
 
 The Data Architect will lead the design, development, and implementation of data architecture strategies that ensure the effective management, integration, quality, and security of data across Central Bank of Oman. This role is critical in enabling data-driven decision-making, compliance with regulatory mandates, and advancement of analytics capabilities in alignment with the Central Bank of Oman&rsquo;s strategic objectives.
 
 
 
 
 
 
 
 Key duties and Tasks:
 
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain CBO&rsquo;s enterprise data architecture framework, including data models, metadata standards, and integration patterns.
 </li>
 <li>
 Design and govern robust data pipelines and data stores to support analytics, regulatory reporting, and operational needs.
 </li>
 <li>
 Collaborate with internal stakeholders to align data architecture with business requirements, regulatory standards, and IT strategies.
 </li>
 <li>
 Lead the design and implementation of data governance practices and metadata management initiatives.
 </li>
 <li>
 Establish and enforce data architecture standards, best practices, and policies.
 </li>
 <li>
 Assess current data landscape and identify opportunities to improve data quality, consistency, availability, and security.
 </li>
 <li>
 Support regulatory compliance by ensuring data architectures accommodate legal, ethical, and industry-specific standards.
 </li>
 <li>
 Provide architectural oversight and mentorship to data engineers, analysts, and developers.
 </li>
 <li>
 Manage relationships with external vendors or partners providing data-related tools or services.
 </li>
 </ul>
 
 
 
 Minimum Qualifications and Experience:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Systems, Data Science, or a related field.
 </li>
 <li>
 7 to10 years of experience in data architecture, data engineering, or information management roles.
 </li>
 <li>
 Proven experience in designing and implementing enterprise data solutions.
 </li>
 </ul>
 
 
 
 
 
 
 Desirable Qualifications and Experience:
 
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in information management, Data Analytics, or related disciplines.
 </li>
 <li>
 Relevant certifications such as TOGAF, CDMP (Certified Data Management Professional), DAMA.
 </li>
 <li>
 Experience working in a regulatory or financial services environment.
 </li>
 <li>
 Experience with regulatory reporting systems and understanding of financial supervisory data.
 </li>
 <li>
 Participation in digital transformation initiatives and large-scale data modernization projects.
 </li>
 <li>
 Familiarity with regulatory technologies (RegTech) or supervisory technologies (SupTech).
 </li>
 </ul>
 
 
 
 
 
 Please Submit your application before 27th December 2025.
 
 
</div>

Enterprise Data Architect

ahlibank

<div>
 
 SUMMARY OF ROLE:
 
 
 Lead the bank's AI, Machine Learning, and data transformation initiatives to drive digital innovation, enhance customer experience, and monetize data assets. This role focuses on strategic oversight of data transformation, enabling the bank to harness the value of data for operational efficiency, customer engagement, and revenue generation, while adhering to governance frameworks and ethical standards.
 
 
 
 KEY RESPONSIBILITIES:
 
 
 
 AI/ML Strategy and Implementation:
 
 
 &bull; Support in developing and implementing a 3-year AI/ML strategy aligned with the bank's innovation and digital transformation goals.
 
 &bull; Identify and oversee AI/ML opportunities in customer-facing solutions, such as financial advisors, product matching, gamification, and conversational AI.
 
 &bull; Ensure AI solutions are scalable, secure, and aligned with the bank's innovation and ethical standards.
 
 
 
 AI solution delivery and lifecycle ownership
 
 
 &bull; Oversee end-to-end AI/ML solution lifecycle: discovery, data readiness, model development/selection, evaluation, deployment, monitoring, and continuous improvement.
 
 &bull; Ensure AI solutions are scalable, resilient, secure, and aligned with ethical and responsible AI principles.
 
 &bull; Define and enforce model governance practices (validation, performance thresholds, drift monitoring, versioning, retraining triggers, documentation).
 
 
 
 Data Transformation Oversight:
 
 
 &bull; Provide operational and strategic support to the direction for the bank&rsquo;s data transformation program, ensuring alignment with business goals.
 
 &bull; Oversee the transition to a data-driven culture, facilitating the integration of data into decision-making processes across all departments.
 
 &bull; Ensure robust data governance frameworks are in place, adhering to compliance, privacy, and security standards, particularly within the Omani regulatory context.
 
 &bull; Collaborate with the PMO, Transformation Office, and business units to ensure seamless execution of data-related initiatives.
 
 
 
 Data Monetization:
 
 
 &bull; Identify and capitalize on opportunities to monetize the bank&rsquo;s data assets through innovative solutions.
 
 &bull; Work with cross-functional teams to design and implement data products that generate fee income and enhance customer value.
 
 &bull; Explore partnerships and collaborations to leverage data for new revenue streams, ensuring the bank remains competitive in the market.
 
 
 
 Governance and Compliance:
 
 
 &bull; Lead the establishment of governance frameworks for AI and data programs, ensuring ethical and responsible use of technologies.
 
 &bull; Conduct periodic reviews of AI and data initiatives, addressing risks, privacy concerns, and compliance with local and international regulations.
 
 &bull; Balance innovation and stringent data privacy requirements, offering strategic solutions to potential conflicts.
 
 
 
 R&amp;D and Innovation:
 
 
 &bull; Stay informed about the latest trends in AI, ML, and data transformation, applying insights to the bank&rsquo;s strategy.
 
 &bull; Evaluate emerging technologies to assess their potential impact on the bank's data and AI landscape.
 
 &bull; Drive experimentation and pilots to test innovative AI and data monetization use cases.
 
 
 
 Team Leadership and Development:
 
 
 &bull; Mentor and upskill team members to foster expertise in AI, ML, and data transformation.
 
 &bull; Build a pipeline of talent to support the bank&rsquo;s long-term innovation and data goals.
 
 &bull; Promote a data-driven and innovation-focused culture within the organization
 
 
 
 
 Requirements
 
 
 &bull; Omani nationals only
 
 &bull; Bachelor&rsquo;s degree in AI, Data Science, Computer Science, Engineering, or a related field, with 5&ndash;8 years of experience in AI/ML and data roles, including 2+ years in a lead role.
 
 &bull; Proven delivery of production AI solutions, strong hands-on AI/ML or data engineering background, and experience leading cross-functional stakeholders, with familiarity in cloud or on-prem platforms (AWS, Azure, GCP), lakehouse architectures, Spark/SQL, containers, API integration, and working knowledge of LLMs, RAG, and vector databases.
 
 
 
 
 
 
 
</div>

AI/ML and Data Transformation Lead

Thawani Pay

<div>
 
 
 Role Purpose
 
 
 
 Build and own the data infrastructure that powers Thawani Pay&rsquo;s growth and decision-making under the Marketing / Growth function. This includes data pipelines, data lake, and data warehouse, ensuring clean, reliable, and timely data across all user and merchant touchpoints, products, and channels.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Data Infrastructure &amp; Pipelines
 
 
 <ul>
 <li>
 Design, implement, and maintain ETL/ELT pipelines from:
 </li>
 <li>
 App analytics (GA4, Firebase, Adjust,
 
 product / UI/UX analytics tools (e.g., Mixpanel &amp; etc
 
 )
 </li>
 <li>
 Backend transactional systems (wallet, cards, international transfers, microfinancing, Sama platform, Athar donations)
 </li>
 <li>
 Merchant solutions (Tajer, Merchant Portal, Payment Gateway, Payment Link)
 </li>
 <li>
 CRM (Microsoft Dynamics 365) and support systems.
 </li>
 <li>
 Own the data lake and data warehouse (e.g., BigQuery or equivalent), ensuring it supports analytics, BI (Power BI), and regulatory reporting.
 </li>
 </ul>
 
 
 Data Model, Taxonomy &amp; Quality
 
 
 <ul>
 <li>
 Define and maintain a consistent event taxonomy and schema across all platforms (apps, web, backend, CRM).
 </li>
 <li>
 Implement robust data quality checks, monitoring, and alerting to detect and resolve data gaps, latency, or anomalies.
 </li>
 <li>
 Document data flows, tables, and metric definitions to enable self-serve analytics across Marketing, Product, and Leadership.
 </li>
 </ul>
 
 
 Enablement &amp; Integrations
 
 
 <ul>
 <li>
 Enable performant data access for:
 </li>
 <li>
 Power BI dashboards (for CMO, CEO, CBO, Board)
 </li>
 <li>
 Product &amp; UX analytics (Mixpanel / Hotjar / Clarity)
 </li>
 <li>
 CRM and marketing automation (Dynamics 365)
 </li>
 <li>
 Risk/Fraud, Finance, and regulatory teams where required.
 </li>
 <li>
 Support integration of new partners (card schemes, remittance partners, microfinancing and insurance partners) into the data ecosystem.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 7&ndash;10+ years of experience in Data Engineering, ideally in FinTech, digital banking, payments, or large-scale digital products.
 </li>
 <li>
 Strong proficiency in SQL, Python and modern ETL/ELT orchestration (e.g., Airflow, dbt, or similar).
 </li>
 <li>
 Hands-on experience with cloud data warehouses / data lakes (e.g., BigQuery, Snowflake, or similar) and connecting them to BI tools like Power BI.
 </li>
 <li>
 Demonstrated experience integrating app analytics, transactional systems, and CRM into a unified analytics stack.
 </li>
 <li>
 Ability to work closely with non-technical stakeholders and translate business needs into data solutions.
 </li>
 </ul>
 
 
 
</div>

Data & Analytics Engineer

Al Ghafa Service Center

Position: Data Entry Executive Location: Al Qurum, Muscat, Oman Company: Al Ghafa Service Center SPC (Sanad Service Center) Salary: Starting from OMR 325/-Job Summary: Join Al Ghafa as a Data Entry Executive, where you will provide exceptional service by collecting and entering essential customer data into government databases for various applications, such as visas, work permits, and licenses. This role demands precision, attention to detail, and proficiency in government procedures.Responsibilities:<ul><li>Assist customers with inquiries and guidance on government processes.</li><li>Accurately enter data from documents like identity cards and passports.</li><li>Process applications for permits, licenses, visas, tenancy agreements, and more.</li><li>Conduct data verification, address errors, and ensure information integrity.</li><li>Perform database searches and data backups to secure information.</li></ul>Preferred Experience:<ul><li>2 years, preferably in retail or customer service.</li></ul>Shifts:<ul><li>Morning: 8:30 AM &ndash; 5:30 PM</li><li>Night: 1:00 PM &ndash; 10:00 PM</li></ul>Shifts alternate weekly.To Apply: Please email your resume to sanad@al-ghafa.com, using &quot;2025/12/29/AGS/DEE&quot; as the subject line.In your email, answer this question: &quot;Who is the minister of Tourism?&quot;This position is ideal for motivated individuals skilled in data entry and eager to work in a structured environment with opportunities to gain insight into Omani government procedures.Job Type: Full-timePay: RO335.000 per monthExperience:<ul><li>retail or customer service: 2 years (Preferred)</li></ul>

(Omani Nationals Only) Data Entry Executive

Infoline

<div>
 
 Early Talent Opportunities &ndash; Business &amp; Commercial
 
 
 
 
 
 Are you a fresh graduate ready to kickstart your career in a dynamic and growing organization.
 
 
 
 
 
 We are looking for talented individuals to join us across a variety of exciting opportunities in Business &amp; Commercial functions.
 
 
 
 
 
 We welcome applications from graduates in the following areas:
 
 
 
 
 
 1. Human Resources (HR)
 
 
 
 
 
 Help us attract, develop, and retain the best talent. HR roles focus on recruitment, employee engagement, learning &amp; development, and HR strategy to support our people and business growth.
 
 
 
 
 
 2. Management
 
 
 
 
 
 Step into roles that drive operational excellence and strategic initiatives. Management opportunities involve project coordination, process improvement, and team leadership, giving you a strong foundation for a career in business leadership.
 
 
 
 
 
 3. Business Administration
 
 
 
 
 
 Support our organization&rsquo;s day-to-day operations and strategic planning. Business Administration roles focus on planning, analysis, and execution of key business functions that keep our teams running efficiently.
 
 
 
 
 
 4. Finance
 
 
 
 
 
 Join our finance team to analyze data, manage budgets, and support strategic financial decisions. Finance opportunities provide exposure to financial planning, accounting, risk management, and investment analysis.
 
 
 
 
 
 5. Economics
 
 
 
 
 
 Use your analytical skills to support business decisions and market strategies. Economics roles involve research, data analysis, and economic modeling to provide insights that drive business growth.
 
 
 
 
 
 6. Data Analyst
 
 
 
 
 
 Turn data into actionable insights. Data Analyst roles involve collecting, analyzing, and interpreting data to support decision-making across commercial and business functions.
 
 
 
</div>

Early Talent Opportunities – Business & Commercial

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