Identify and prioritize automation opportunities across Golden Record and governance operations (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 tasks Apply AI/ML techniques to support data quality monitoring, anomaly detection, and completeness scoring within the Critical Attribute Framework Partner with IT to embed automation without duplicating governance logic inside pipeline code Build and maintain monitoring dashboards (e.g. Power BI) supporting the Quality & Monitoring stream Document and hand over automated processes so they can be maintained and scaled beyond one person,



avoiding new single-point-of-failure risk Track emerging RPA/AI tooling and recommend adoption where it reduces manual governance workload 3–5 years of experience building RPA/automation solutions (e.g. UiPath, Power Automate, Python) 2+ years applying AI/ML to data quality, matching, or anomaly detection Hands-on experience with cloud data platforms (Azure Synapse, Databricks) and SQL Understanding of master/product data management and governance concepts Experience with Power BI or similar dashboarding tools Automotive, aftermarket, or manufacturing industry experience a plus Strong communication skills - able to translate technical automation into business value for non-technical stakeholders Based in or willing to relocate to Barcelona

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📌 Product Data Consultant (Madrid)
🏢 Zf Group
📍 Madrid