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

Overview of the role:

This role reports to the GM Operational Performance within the Operational Performance team. This team sits within the wider Business Operations function of Al Futtaim Automotive.

The role holder will be crucial to underpinning our future success. You will be directly responsible for curating the data model that will drive our future business. You will be confident in bringing together stakeholders around complex challenges and guiding them to clear, tangible outcomes in relation to data quality, controls and importantly a central data model to feed our operation.

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
• Open up new revenue opportunities via data, working closely with our Blue Rewards loyalty team on how we seamlessly bring this data source into the automotive customer experience
• 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, including S4Hana implementation and SAP Analytics Cloud
• 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
• 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
• Research and recommend data acquisition and/or connection opportunities to enhance our data structure and capabilities (both internally across our businesses and with 3rd parties)
• Develop and hone interface layers (as required and where they derive value) in conjunction with IT
• Oversee migration to cloud

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