Senior Data Modeler

Deeplight; Abu Dhabi; On-site; AED 500,000 - 700,000; Full time

Job summary

A leading AI company in Abu Dhabi is seeking a Senior Data Modeller to lead the design and governance of diverse data models for the banking sector. The ideal candidate will have over 10 years of experience and a strong command of data governance and modern database technologies. This role offers competitive salary, comprehensive benefits, and opportunities to work on cutting-edge AI initiatives while managing stakeholder relationships in a dynamic environment.

Benefits

Competitive salary and performance bonuses

Comprehensive health insurance

Professional development and certification support

Flexible working arrangements

Qualifications

• 10+ years of experience in data modeling with banking sector exposure.
• Proven ability to design and implement data models in banking domains.
• Strong knowledge of relational databases and modern platforms.

Responsibilities

• Lead development of enterprise data models across various banking domains.
• Implement governance frameworks for financial institutions.
• Collaborate with teams to drive data transformation programs.

Skills

Data modeling

Stakeholder management

Data governance

Relational databases

Cloud platforms

Consulting expertise

Education

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

Tools

Erwin

SQL Server

Oracle

Snowflake

Power BI

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.

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 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

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.