Identify and prioritize automation opportunities across Golden Record and governanceoperations (e.g. data quality checks, cleansing, reporting)Design, build, and deploy RPA/AI solutions (e.g. Python, UiPath/Power Automate,Databricks notebooks) to automate repetitive product data tasksApply AI/ML techniques to support data quality monitoring, anomaly detection, andcompleteness scoring within the Critical Attribute FrameworkPartner with IT to embed automation without duplicating governance logic inside pipelinecodeBuild and maintain monitoring dashboards (e.g. Power BI) supporting the Quality &Monitoring; streamDocument and hand over automated processes so they can be maintained and scaledbeyond one person,



avoiding new single-point-of-failure riskTrack emerging RPA/AI tooling and recommend adoption where it reduces manualgovernance workload3–5 years of experience building RPA/automation solutions (e.g. UiPath, PowerAutomate, Python)2+ years applying AI/ML to data quality, matching, or anomaly detectionHands-on experience with cloud data platforms (Azure Synapse, Databricks) and SQLUnderstanding of master/product data management and governance conceptsExperience with Power BI or similar dashboarding toolsAutomotive, aftermarket, or manufacturing industry experience a plusStrong communication skills - able to translate technical automation into business value for non-technical stakeholdersBased in or willing to relocate to Barcelona
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📌 Product Data Consultant (Barcelona)
🏢 Zf Group
📍 Barcelona