Dubai, United Arab Emirates
8 days ago
Senior Manager - Data Architecture & Engineering

JOB TITLE
Senior Manager - Data Architecture & Engineering | Holding | Strategy

ROLE SUMMARY
To lead the design & development of MAF unified enterprise data architecture, modelling, and management framework that ensures data quality, governance, inter-operability and integration across Majid Al Futtaim business units. This role enables secure, scalable, and business-aligned data solutions that support advanced data & AI use cases, operational efficiency, and value/data-driven decision making across all MAF business units.

ROLE PROFILE

Develop and continuously refine a scalable data architecture & modelling covering all logical and physical data layers, aligned with business objectives.Promote standardization and harmonization of data technology infrastructure and models across systems and departmentsLead the establishment and execution of MAF-wide data governance frameworks, policies, and quality standards.Ensure compliance with regulatory and MAF privacy policy & procedures requirements, leveraging centralized tools for consistent application across Business UnitsOversee and advise on implementation of efficient data integration solutions, pipelines, and ETL/ELT processes to support a unified data platform.Continuously evaluate and integrate modern cloud technologies to enhance platform capabilities.Continuously evaluate and integrate modern cloud technologies to enhance platform capabilities.Collaborate with business stakeholders to understand data challenges and co-create analytics and automation solutions that generate measurable value.


REQUIREMENTS

A bachelor's or master's degree in information system, computer science or related discipline is required.12-15 years of experience in data management, data analytics, data warehouse or a related fieldProven experience in complex environments of data management, including data governance, data integration, and data qualityPrior experience in leading and managing data teams, including recruiting, mentoring, and driving team performance.Expertise in data architecture & modelling, for enterprise-wide solutions.Strong leadership and communication skills with ability to work cross-functionally with business stakeholders

 

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