Lead Data Modeler
- Deeplight
- Abu Dhabi - United Arab Emirates
- Full-time
وصف الوظيفة
Role Summary
We are hiring a Lead Data Modeller to head our enterprise-wide data modelling strategy and team. This is a leadership role that requires a deep understanding of banking data domains and proven delivery experience from top-tier consulting or transformation programs. The successful candidate will drive the development of enterprise data models, enforce governance standards, and act as a trusted partner to senior stakeholders, ensuring data structures support regulatory compliance, risk management, advanced analytics, and business innovation.
إمتيازات الوظيفة
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.
متطلبات الوظيفة
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
