Senior Data Modeler

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.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or Finance/Engineering
• 10+ years of experience in data modeling, 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 (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, including 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 (core banking replacement, regulatory reporting modernization, data strategy engagements)
• Exposure to NoSQL/graph databases (Neo4j, MongoDB) and AI-driven modeling approaches
• Relevant professional certifications (CDMP, DAMA, AWS/Azure Data Architect, CFA/FRM)

Benefits

• 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
• Unique opportunity to shape the future of AI implementation while working with a talented team at the forefront of technological innovation

About the Company

Deeplight is an innovative AI and data consultancy, helping clients in the financial sector transform enterprise data strategy, governance, and analytics. Deeplight empowers organizations across MENA and globally to achieve compliance, operational excellence, and future-ready AI-driven solutions.