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

Description

• Collaborate with data science teams to support AI / ML use cases.
• Manage Azure-based architecture for data storage, processing, and analytics.
• Monitor and optimize data pipelines, ETL processes, and application performance.
• Mentor and guide data engineers, BI developers, and analysts.
• Ensure robust security measures, including identity management and role-based access control.
• Lead dashboard development for analytics and reporting.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Oversee day-to-day Automotive Data Operations.
• Develop and implement data application solutions aligned with Automotive business objectives.
• Manage design, development, and deployment of data applications leveraging existing tools and services.
• Maintain and operationalize the data catalog, business glossary, data dictionary, and metadata management practices.
• Define KPIs and build interactive dashboards as per Automotive best practices.
• The Data Application Manager (Automotive) is pivotal in defining and operationalizing data management capabilities across Al-Futtaim's Automotive division. Operating within the Global Technology & Digital Platform function, the role supports the maturation of data strategies and ensures data is optimized for business value. Responsibilities include developing data solutions, managing a high-performing team, and collaborating with multiple business units to uphold data integrity and security. Success involves driving continuous improvements in data operations, leveraging industry best practices, and enabling advanced analytics and AI initiatives.
• Implement best practices for scalability and cost efficiency in Azure.
• Ensure integration of data from multiple Automotive systems into centralized platforms.
• Manage a lean and high-performing team.

Requirements

• Strong analytical and problem-solving skills with a methodical approach.
• Exceptional stakeholder engagement and communication skills.
• Bachelor’s or Master’s degree in Information Technology, Computer Science, or a related discipline.
• 12+ years of experience in Data Engineering and Analytics, with implementation and transformation expertise.
• Proven ability to lead and inspire a technical team towards high-performance outcomes.
• Strong automotive business domain knowledge and experience with data management tools/platforms like Azure, Azure Data Factory, Databricks, and more.
• Proficient in managing Azure-based data architectures and solutions.
• Familiarity with SAP solutions such as S/4, SAP BW, and SAP BO, and competence in data modeling and database optimization.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance