Operational Data Quality Manager

• 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

• 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.

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