- 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

#J-18808-Ljbffr

📌 Product data consultant (Barcelona)
🏢 Zf Group
📍 Barcelona