Senior Data Modeler

Deeplight; United Arab Emirates; On-site; AED 350,000 - 450,000; Full time

Job summary

A leading financial consulting firm in the UAE is seeking an experienced Senior Data Modeller to design and govern enterprise data models across various banking products. The ideal candidate will have over 10 years of experience, strong data modeling skills, and proven stakeholder management abilities. This role offers competitive salary, flexible working arrangements, and opportunities for professional growth.

Benefits

Competitive salary and performance bonuses

Comprehensive health insurance

Professional development and certification support

Opportunity to work on cutting-edge AI projects

Flexible working arrangements

Qualifications

• 10+ years of experience in data modeling within the banking sector.
• Proven ability to design and implement data models in financial domains.
• Experience in presenting to C-level executives.

Responsibilities

• Lead the development of enterprise data models across banking products.
• Establish data modeling standards tailored for financial institutions.
• Collaborate with teams to drive data transformation programs.

Skills

Data modeling

Stakeholder management

Consulting skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or Finance/Engineering

Tools

Erwin

Oracle

SQL Server

PostgreSQL

Snowflake

AWS

Job description

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.

Benefits & Growth Opportunities

• Competitive salary and performance bonuses
• Comprehensive health insurance
• Professional development and certification support
• Opportunity to work on cutting‑edge AI projects
• International exposure and travel opportunities
• Flexible working arrangements
• Career advancement opportunities in a rapidly growing AI company

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.

Key Responsibilities

• Lead the development, implementation, and maintenance of enterprise data models across banking products, risk, treasury, and regulatory domains.
• Establish and enforce data modeling standards and governance frameworks tailored for highly regulated financial institutions.
• 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).
• Translate complex banking processes (credit, risk, treasury, payments, capital markets) into structured and reusable data models.
• Oversee data lineage, metadata, and master data entities, ensuring transparency and traceability for audits and compliance.
• Manage impact analysis for schema and structural changes, ensuring minimal disruption to core banking operations and reporting.
• Collaborate with consulting partners and internal teams to drive data transformation programs, system migrations, and cloud adoption.
• Deliver data model strategies that enable AI/ML initiatives, stress testing, scenario analysis, and customer analytics.
• Mentor and guide data modelers, embedding consulting‑grade delivery standards.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or Finance/Engineering.
• 10+ years of experience in data modeling, including banking sector exposure and consulting/Big 4/strategy firm project delivery.
• Proven ability to design and implement conceptual, logical, and physical data models for banking domains (risk, finance, treasury, compliance, customer data).
• Proficiency with data modeling tools (e.g., Erwin, ER/Studio, SAP PowerDesigner).
• Strong knowledge of relational databases (Oracle, SQL Server, PostgreSQL) and modern platforms (Snowflake, BigQuery, Redshift).
• Experience in data governance, metadata management, and regulatory reporting data structures.
• Familiarity with cloud platforms (AWS, Azure, GCP) and modern architectures (data lakes, data mesh).
• Excellent stakeholder management with experience presenting to C‑levels in banks and financial regulators.

Preferred Qualifications

• Previous experience in top consulting firms (Big 4, Accenture, Capgemini, or similar).
• Hands‑on involvement in banking transformation programs, such as core banking replacement, regulatory reporting modernization, or data strategy engagements.
• Exposure to NoSQL/graph databases (Neo4j, MongoDB) and AI‑driven modeling approaches.
• Professional certifications (e.g., CDMP, DAMA, AWS/Azure Data Architect, CFA/FRM for financial context) are highly desirable.

Tools & Technologies (Relevant Exposure)

• Data Modeling: Erwin, ER/Studio, PowerDesigner
• Banking Systems: Temenos, Finacle, Murex, Calypso
• Databases: Oracle, SQL Server, PostgreSQL, Snowflake, BigQuery, Redshift
• Governance: Collibra, Informatica, Alation
• Analytics & BI: Tableau, Power BI, SAS, Qlik
• Regulatory/Finance Context: Basel III, IFRS, BCBS 239, ICAAP/ILAAP frameworks