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Lead AI Data Architect – Financial Services
- Posted 05 March 2026
- Salary Competitive salary and package!
- LocationAbu Dhabi
- Discipline AI, Data & Machine Learning
Job description
Discover the Opportunity
We’re partnering with a leading financial services organisation in Abu Dhabi that is investing heavily in its AI and data platform capabilities.
This role sits at the centre of the organisation’s data strategy, responsible for designing the architecture that powers advanced analytics and machine learning across the business.
This is a senior leadership opportunity combining technical architecture expertise with strategic influence, helping to shape how enterprise data platforms support AI-driven innovation.
Discover the Role
As Lead AI Data Architect, you will lead the design and evolution of the organisation’s AI-ready data architecture while managing a team of Data Architects responsible for building scalable and secure data platforms.
You will work closely with AI Engineering, Data Science, and platform teams to ensure data environments are optimised for analytics and machine learning at scale.
Discover the Responsibilities
AI Data Architecture
Define and evolve the organisation’s AI data architecture roadmap.
Design scalable data platforms supporting AI and advanced analytics.
Architect reliable data pipelines and modern data platform capabilities.
Establish best practices for data modelling, governance, and metadata management.
AI Platform Enablement
Partner with Data Science and AI Engineering teams to enable ML-ready data environments.
Support modern distributed data architectures and cloud-based platforms.
Ensure data platforms meet security, governance, and regulatory requirements.
Leadership & Stakeholder Engagement.
Lead and mentor a team of Data Architects.
Partner with senior stakeholders across technology and the business.
Provide architectural guidance for enterprise AI and data initiatives.
Discover the Requirements
10+ years of experience in data architecture, data engineering, or enterprise data platforms.
Strong experience with modern data technologies such as Databricks, Spark, Kafka, Snowflake, Delta Lake, or BigQuery
Experience building data platforms that support machine learning and advanced analytics.
Strong understanding of data governance, modelling, and enterprise data architecture.
Proficiency with SQL, Python, and modern cloud data platforms.
Strong stakeholder management and leadership experience.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
Apply Now!