VP, Data Transformation

Job description

We’re partnering with a leading financial services organisation in Abu Dhabi that is investing significantly in its AI and data capabilities.

This is a senior, hands-on position focused on transforming how data is governed, managed, and made available for AI and analytics across the organisation. You’ll own strategic data transformation initiatives while working across Data, AI, Technology, Architecture, and Governance teams.

The role is particularly focused on using AI to transform traditional data management, automating areas such as data quality, governance, lineage, and metadata management to enable AI initiatives to move into production faster and at greater scale.

Define and deliver the organisation’s data transformation roadmap, ensuring data capabilities can support AI and analytics at scale.

Drive the adoption of modern data management practices across governance, data quality, lineage, metadata, master data, and data products.

Use AI, automation, and metadata-driven approaches to modernise traditionally manual data governance and quality processes.

Identify and remove data and organisational bottlenecks that impact the delivery of AI and analytics initiatives.

Establish scalable data transformation frameworks, standards, governance processes, and execution plans.

Partner closely with Data Science, Technology, Architecture, Governance, and business teams to improve enterprise-wide data maturity.

• Significant experience leading complex data transformation programmes within large- scale enterprise environments.
• Strong expertise across data governance, data quality, lineage, metadata management, master data management, and/or data products.
• Deep understanding of modern data platforms, architectures, and enterprise data management.
• Strong understanding of the data requirements underpinning AI and machine learning, including data quality, feature engineering, model governance, and scalable AI delivery.
• Experience applying AI and machine learning to data management, such as automated lineage discovery, metadata extraction, or data quality assessment.
• Strong leadership and stakeholder management skills, with the ability to influence across business and technology functions.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.

• Take ownership of a major data transformation agenda within a highly ambitious AI environment.
• Work at the intersection of Data, AI, Governance, and Technology.
• Apply AI to fundamentally change how enterprise data is managed rather than simply implementing traditional governance processes .
• Play a highly influential role in creating the data foundations required to scale enterprise AI.