Lead Data Modeler

Deeplight; United Arab Emirates; On-site; AED 300,000 - 400,000; Full time

Job summary

A leading technology company in the UAE is seeking a Lead Data Modeller to drive data gap analysis and modeling in their AI and transformation initiatives. The ideal candidate will have 8–12 years of experience in banking data domains and a solid understanding of data strategy. This role offers competitive salary, comprehensive health insurance, and opportunities for professional growth.

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

Qualifications

• 8–12 years’ experience in data modelling, data strategy, or data-driven consulting in banking.
• Proven ability to translate business problems into structured data requirements.
• Experience in conceptual and logical data modelling.

Responsibilities

• Lead the gap analysis of data requirements vs. existing assets.
• Translate AI use cases and regulatory/business needs into data models.
• Engage with SMEs across Risk, Finance, Treasury to elicit requirements.

Skills

Data modelling

Data strategy

Stakeholder management

Structured problem-solving

SQL proficiency

Education

Bachelor’s or Master’s in Finance, Engineering, Computer Science, or related field

Tools

Data modelling tools

Job description

Role Summary

We are seeking a Lead Data Modeller to drive critical data gap analysis and modelling work across our AI and transformation initiatives. This is a forward‑looking role at the intersection of business, data, and consulting: the successful candidate will partner with business SMEs and senior stakeholders to understand requirements, map them to existing data assets, identify gaps, and structure findings into clear recommendations for decision‑makers. The Lead Data Modeller will combine a strong grounding in banking data domains with the ability to think ahead about the future of data modelling and discovery how emerging technologies such as Generative AI and intelligent metadata tools will reshape how we design, manage, and discover data.

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.

Key Responsibilities

• Lead the gap analysis of data requirements vs. existing assets, producing clear mappings and structured outputs.
• Translate AI use cases and regulatory/business needs into conceptual and logical data models.
• Engage with SMEs across Risk, Finance, Treasury, and CIB/RBG to elicit requirements and validate data assumptions.
• Assess and document data quality, integrity, and coverage gaps, and recommend remediation paths.
• Build reusable data models and dictionaries aligned with enterprise data strategy and governance.
• Partner with engineers and architects to ensure future‑proof designs, factoring in how AI‑driven tools will evolve the modelling landscape.
• Produce clear deliverables (models, frameworks, recommendations) for senior stakeholders and governance forums.
• Mentor and guide junior analysts/consultants to uplift overall modelling capability.

Required Qualifications

• Bachelor’s or Master’s in Finance, Engineering, Computer Science, or related field.
• 8–12 years’ experience in data modelling, data strategy, or data‑driven consulting, with exposure to banking/financial services.
• Proven ability to translate business problems into structured data requirements and communicate them clearly.
• Experience in conceptual and logical data modelling (not just physical schema design).
• Strong consulting toolkit: structured problem‑solving, stakeholder management, clear communication.
• Solid understanding of banking domains (CRM/Client 360, Risk, Finance, Treasury, regulatory reporting).
• Hands‑on experience with data modelling tools but also a forward‑looking perspective on next‑gen approaches.
• Proficiency in querying databases (SQL) sufficient to validate and profile data.