Data Application Manager - Retail | Corporate Services | Group Tech &Dig Platforms

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Ar"ab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands.

Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity;
Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.

• The Data Application Manager (Retail) is pivotal in establishing and optimizing data management capabilities within the Retail sector of Al-Futtaim. This role focuses on supporting and enhancing the data strategy through effective data engineering, analytics, and operational practices. The manager acts as a bridge between retail business needs and technical execution, ensuring that data is accurately managed and harnessed for maximum business value.
  
  Working within the Global Technology & Digital Platform framework, the role demands close collaboration with various stakeholders including IT partners, data governance professionals, and enterprise architects to ensure compliance with data standards and security.
• An essential component of the position involves managing Azure-based data architectures and enhancing the data integration from various retail systems into cohesive platforms. The role also involves defining and measuring KPIs using interactive dashboards and leading the analytics and reporting initiatives. In essence, the manager contributes to driving the technological advancement and data-informed decisions within the retail division.

• Develop and implement data application solutions aligned with retail business objectives.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Manage design, development, and deployment of data applications leveraging existing tools and services.
• Ensure integration of data from multiple retail systems into centralized platforms.
• Define KPIs and build interactive dashboards for analytics and reporting.
• Monitor and optimize data pipelines, ETL processes, and application performance.
• Implement best practices for scalability and cost efficiency in Azure.
• Understand and enforce robust security measures, including identity management and role-based access control.
• Collaborate with data science teams to support AI / ML use cases.
• Manage a lean and high-performance team, mentoring and guiding data engineers, BI developers, and analysts.
• Maintain and operationalize the data catalog, business glossary, and metadata management practices.
• Oversee day-to-day Retail Data Operations.

• Proficiency in analytical solutions and data management, especially on Azure and SAP platforms.
• Exceptional communication, facilitation, and stakeholder engagement skills.
• Ability to manage and deliver Retail Data Projects with high attention to detail and a structured approach.
• Strong analytical and problem-solving capabilities with an ability to drive organizational change across business and IT sectors.

• Bachelor’s or Master’s degree in Information Technology, Computer Science or related discipline.
• 12+ years of experience in Data Engineering and Analytics including implementation, transformation, and support.
• Strong retail business domain knowledge and proficiency with data management tools and languages like Azure Platform, Azure Data Factory, Databricks, MS Fabric, SQL, Python, and PySpark.
• Expertise in data modeling, data design activities, and experience with SAP solutions such as S/4, SAP BW, and SAP BO. Proficiency in Power
  
  BI, Tableau, and Alteryx is essential.

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