Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.
Aldar Properties PJSC is seeking an Engineering Leader for the Group Data Platform to own architecture, ingestion, storage, modeling and governance for analytics, AI, and operations across Aldar and subsidiaries.
The role builds AI-ready data foundations, enabling self-service while maintaining control, reliability, and cost discipline, with a focus on scaling data capabilities across the Group.
Own the data backbone of the Group the platforms through which data is ingested stored modeled governed and made available for analytics Artificial Intelligence and operational use across Aldar and its subsidiaries Establish end-to-end accountability from data platform engineering to operations building AI-ready foundations and a self-service model that lets Group Digital and the business consume trusted data at speed without the data platform becoming a bottleneck Serve Group Digital's Data amp AI teams with data and self-service capabilities analytics and data science ownership remains with Group Digital
Not an analytics or data science role those capabilities are owned by Group Digital Not a reporting or Business Intelligence delivery function the role provides the platform others build on Not limited to Aldar corporate the platform serves the Group and its subsidiaries This role owns the data backbone on which the Group s analytics and Artificial Intelligence ambitions are built built
Minimum of 10-12 years in data platform engineering or data architecture leadership within large complex organizations YOE IN MANAGERIAL POSITION Minimum of 2 years of managerial experience in a related field
Enterprise data platforms at group or multi-entity scale including cloud data stacks Data engineering practices data governance tooling and self-service enablement Building AI-ready data foundations pipelines MLOps-adjacent capabilities is an advantage
Engineering leader with architectural depth credible with both engineers and executive stakeholders Service mindset toward Group Digital and the business the platform exists to be consumed Rigorous on data reliability governance and cost discipline Comfortable operating at the boundary between technology platforms and digital product teams
Bachelor's degree in a relevant field is required Master's degree is preferable
We may use artificial intelligence AI tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information These tools assist our recruitment team but do not replace human judgment Final hiring decisions are ultimately made by humans If you would like more information about how your data is processed please contact us