Operational Data Quality Manager | Al Futtaim Automotive | Operations Performance & Planning

What you will do:

Data Direction

• Work with business stakeholders and IT to set the overarching data direction for the company from a data model and data architecture standpoint (under the guidance and steering of the GM Operational Performance)
• Actively facilitate the collaboration of disparate data processing and analysis teams across the organization, bringing these groups together around a common direction, pipeline and way of working
• Define and build the underlying data model and data pipelines for automotive operations (with the support and collaboration of IT)
• Identify and promote (via business case) new solutions and architecture opportunities to enhance our data capabilities
• Push forward our AI and ML direction, giving clear recommendations and guidance (+ value benefit) of AI and ML activities

Data Architecture, Security & Quality

• Establish a fit for purpose data architecture (in conjunction with IT) built on Azure platform
• Oversee and implement upgrades to SAP data architecture and BIW (data warehouse) operations, covering financial and operational data
• Develop significant improvements to the metadata and database schemas of the business to then subsequently operate this within an overarching data model and quality framework
• Untangle the existing data structure of the business and associated architecture to ensure a clean data structure moving forward during the transition to Azure platform
• Ensure all business requirements are captured and fed into the delivery programme for future data architecture builds and decision making
• Identify and promote (via business case) new solutions and architecture opportunities to enhance our data capabilities
• Assess (and run routine ongoing assessments) of our database health and capabilities, ensuring a consistent checklist and audit procedure to drive improvements to underlying data pipelines
• Create and publish data architecture updates and directions (including architectural mapping) as required to keep the business informed on our underlying data landscape
• Enforce the highest data quality and controls standards alongside IT (creating guidelines where absent)
• Mandate and enforce data securities and safeguards relating to operational data
• Create operating procedures for data flow and control (from ingest through to destruction/removal)
• Oversee and manage all data processes for the operations function, working with IT to ensure common standards and ways of working.

Skills

Required Skills to be successful:

• Minimum 5 years’ experience in data management 
• Data flow management 
• SAP stack (S4Hana and SAC) and Azure data platforms
• Bachelor’s degree in IT, Data engineering, computer science.

About the Team:

You will be working in a fast-paced and diverse environment, reporting directly to the GM – Operational Performance & Planning. This newly established function is responsible for creating and maintaining the highest operational standards across our business to create greater profitability for our business. Our remit is wide. Across the team, we work with central executive leadership and every Managing Director of our portfolio of automotive brands to deliver programmes and initiatives that have a direct impact on the experiences of our customers and our staff.

The culture within the team is dynamic and entrepreneurial. Across all of our team members we actively foster inquisitiveness, ideas and challenges to the status quo. We know that the operations of ‘traditional automotive’ is shifting and we want new joiners to make their mark and play a big role in how we achieve success in the coming years as part of a multi-billion AED global business. With this in mind, you do not need to have worked in automotive all of your career. We are much more focused on your talents, capabilities and motivation to roll up your sleeves and get things done.

If you think you are up for the challenge, can make a mark and see your ideas through to fruition, then you would be a perfect fit for the team and for our organization.

What equips you for the role:

• A business or technical university degree is preferred ideally in the subjects of Computer Science, Data Engineering or any applicable data/solution architecture field. Those without a degree but with significant years of ‘in role’ experience across the specified criteria also considered.
• Minimum 5 years experience in building and managing complex data landscapes
• Deep understanding and experience with SAP stack (S4Hana and SAC) and Azure data platforms
• Experienced in data mining to uncover patterns, anomalies and correlations in large data sets
• Proven examples of realizing cost benefits across the data management flow (ingest, store, process, clean etc)
• Comfortable with multiple data coding languages (eg Python, Java)
• Comfortable with query language (SQL) to run queries and data manipulation
• Comfortable with data modelling tools (ie ERWin, Visio) to visualize metadata and database schema
• Experience in managing Business Intelligence Warehouse (BIW) architectures
• Comfortable interacting with APIs (ef JSON REST) and with standard tools in relation to API layer management
• Fluent with workflow tooling (eg Github)
• Impeccable data documentation skills (parameters, models, algorithms)
• Knowledge to build multi-dimensional data models (in line with set data standards)
• Experienced in working within Azure Cloud