Description

What you can look forward to as Product Data AI & Automation Expert:

- Identify and prioritize automation opportunities across Product Data Governance, Golden Record, and data quality processes.
- Design, build, and deploy automation solutions using AI, Python, Power Automate, UiPath, Databricks, and related technologies to streamline repetitive data management activities.
- Develop AI-enabled solutions for data transformation, harmonization, cleansing, matching, classification, and enrichment across master and product data domains.
- Support ERP, PLM, Golden Record, and other transformation and migration initiatives through AI-assisted data standardization, validation, consolidation, and migration readiness activities.
- Apply AI/ML techniques to data quality monitoring, anomaly detection, completeness scoring, pattern mining, and governance controls within the Critical Attribute Framework.
- Automate cross-system comparisons, data validation, and monitoring activities to improve governance efficiency and reduce manual effort.
- Build and maintain dashboards, KPIs, and monitoring solutions (e.G., Power BI) to increase visibility, transparency, and measurability of product data processes.
- Partner with business and IT teams to embed automation capabilities while maintaining governance standards, controls, and ownership models.
- Document, standardize, and hand over automated solutions to ensure scalability, maintainability,



and avoidance of single-point-of-failure risks.
- Monitor emerging AI, automation, and data management technologies and recommend adoption where they create measurable business value.

Your Profile as Product Data AI & Automation Expert:

- 3-5 years of experience designing and implementing automation solutions using Python, Power Automate, UiPath, or comparable technologies.
- 2+ years of hands-on experience applying AI/ML techniques to data quality, master data management, matching, classification, anomaly detection, or related domains.
- Experience with data transformation, harmonization, cleansing, and migration activities in enterprise environments.
- Hands-on experience with cloud data platforms such as Databricks, Azure Synapse, or similar, as well as strong SQL skills.
- Good understanding of Product Data Management (PDM), Master Data Management (MDM), and data governance principles.
- Experience developing reporting and monitoring solutions using Power BI or similar analytics platforms.
- Knowledge of ERP, PLM, Golden Record, or similar enterprise data ecosystems is considered a strong advantage.
- Automotive, aftermarket, or manufacturing industry experience is a plus.
- Strong communication and stakeholder management skills, with the ability to translate technical solutions into clear business value.
- Fluent in English

📌 Product Data Ai & Automation Expert. (Barcelona)
🏢 Zf Group
📍 Barcelona