VP - Data Architecture & Platforms
Elon It
Description
This senior leadership role defines the data strategy and builds scalable data architecture platforms from the ground up, providing AI/ML-driven analytics for multiple businesses for informed decision-making.
Client Details
A leading organisation in the UAE that utilises AI and analytics to deliver growth solutions for businesses, providing better decision making across the global business landscape.
Client Details
A leading organisation in the UAE that utilises AI and analytics to deliver growth solutions for businesses, providing better decision making across the global business landscape.
Responsibilities
* Define and implement enterprise-wide data strategy and architecture with scalability and security implementations.
* Oversee the development of data platforms supporting reporting, advanced analytics, and machine learning.
* Guide the team with the creation of data products and solutions to deliver actionable insights for users.
* Establish governance frameworks for data quality, compliance, and security.
* Collaborate with o senior stakeholders across technology and business units to embed data into strategic performance improvements.
* Build and mentor a high-performing data team aligned to business needs.
* Oversee budget planning for the data division, ensuring strategic investment in technology and personnel.
Job Offer
* Opportunity to lead a strategic data function within a respected data solutions group.
* Work in a dynamic environment with significant transformation impact across multiple industries.
Requirements
* 12+ years in data-focused roles with experience in large-scale platform development and leadership across engineering and analytics teams.
* Expertise in data engineering, architecture, and governance at enterprise level.
* Strong understanding of analytics, AI/ML concepts, and modern data technologies.
* Ability to influence senior stakeholders and drive adoption of data-driven culture.
* Degree in Computer Science, Data Science, or related field; advanced qualifications preferred (Masters, PhD, MBA)
* Publications or notable achievements in data and AI, plus experience in finance or healthcare analytics are an advantage.
* Expertise in data engineering, architecture, and governance at enterprise level.
* Strong understanding of analytics, AI/ML concepts, and modern data technologies.
* Ability to influence senior stakeholders and drive adoption of data-driven culture.
* Degree in Computer Science, Data Science, or related field; advanced qualifications preferred (Masters, PhD, MBA)
* Publications or notable achievements in data and AI, plus experience in finance or healthcare analytics are an advantage.