Lead Data Modeler at Deeplight

Abu Dhabi, Abu Dhabi, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

30 Dec, 25

Salary

0.0

Posted On

01 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Banking Domain Knowledge, Data Governance, Metadata Management, Regulatory Compliance, Stakeholder Management, Data Transformation, Cloud Platforms, AI/ML Initiatives, Data Lineage, Master Data Management, Data Architecture, Consulting Experience, Data Analytics, Risk Management, Financial Regulations

Industry

IT Services and IT Consulting

Description

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. 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 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.

Responsibilities

Lead the development and maintenance of enterprise data models across various banking domains while enforcing governance standards. Collaborate with stakeholders to ensure data structures support compliance and business innovation.