- 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

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