Senior Data Model Manager
- Deeplight
- Abu Dhabi - United Arab Emirates
- Full-time
وصف الوظيفة
Role Overview
We are in search of a proficient Senior Data Model Manager who holds an impressive history in the banking and consulting sectors. This pivotal role entails the leadership of design, governance, and refinement of enterprise-wide data models, wherein high-quality, scalable, and compliant data architectures are crucial for supporting key financial operations, regulatory reporting, advanced analytics, and artificial intelligence endeavors. The ideal candidate should possess not just profound technical skills but also a strong business insight within financial services, enabling them to construct structured solutions within intricate consulting initiatives.
Key Responsibilities
- Lead the design, execution, and upkeep of enterprise data models across banking products, risk management, treasury, and compliance domains.
- Set and uphold data modeling standards and governance frameworks appropriate for highly regulated financial entities.
- Collaborate with Data Architects, Engineers, and Business Analysts to ensure data models are consistent with business objectives and adhere to regulatory requirements such as Basel III, IFRS, BCBS 239, and AML/KYC.
- Convert intricate banking processes (credit, risk management, treasury, payments, capital markets) into standardized and reusable data frameworks.
- Oversee data lineage, metadata, and master data entities to ensure clarity and compliance for audit trails.
- Manage the impact assessment for structural modifications, aiming to minimize disruption in core banking functions and reporting.
- Partner with consulting firms and internal teams to advance data transformation initiatives, system migrations, and cloud integrations.
- Develop data modeling approaches that support AI/ML projects, stress testing, scenario analysis, and customer analytics.
- Guide and mentor junior data modelers, infusing consulting-grade standards in delivery.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or Finance/Engineering.
- Over 10 years of experience in data modeling, with exposure to the banking sector and project engagement in consulting firms.
- Demonstrated capability in creating and implementing conceptual, logical, and physical data models for banking sectors including risk, finance, treasury, compliance, and customer data.
- Familiarity with data modeling tools (like Erwin, ER/Studio, SAP PowerDesigner).
- Strong understanding of relational databases (Oracle, SQL Server, PostgreSQL) as well as contemporary platforms (Snowflake, BigQuery, Redshift).
- Experience in data governance, metadata management, and structuring data for regulatory reporting.
- Knowledge of cloud platforms (AWS, Azure, GCP) and innovative architectures (data lakes, data mesh).
- Exceptional stakeholder engagement skills with experience in presentations directed at C-suite executives and regulatory bodies.
Preferred Qualifications
- Past experience with leading consulting firms (Big 4, Accenture, Capgemini, etc.).
- Active participation in banking transformation projects involving core banking system upgrades, regulatory reporting enhancements or data strategy consulting.
- Proficiency in NoSQL/graph databases (Neo4j, MongoDB) and AI-driven modeling methodologies.
- Professional certifications (e.g., CDMP, DAMA, AWS/Azure Data Architect, CFA/FRM) are advantageous.
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
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
وظائف مشابهة
Amazon
Financial Analyst
Amazon
Program Management intern , Last Mile Programs
Bespin Global MEA, an e& enterprise Company
Financial Planning & Analysis Lead
Emirates NBD
Software Engineer
JPMorganChase
2025 Corporate & Investment Bank - Investment Banking Analyst Program - Off-Cycle Internship (July - December) Dubai
