Data Management & AI Barcelona or Madrid preferred (1 day/week on site) Spanish + English We are seeking a hands-on Data Management & AI Lead to define and implement a comprehensive framework for Unstructured Data Management in support of data and AI-driven initiatives. This role will focus on establishing standards, rules, and frameworks that ensure data reliability, consistency, and reusability, enabling scalable data and AI solutions in close collaboration with internal stakeholders. The position is highly operational and execution-oriented, with direct involvement in Data Management tools, Python-based processing, and AI/GenAI use cases.

Develop the methodological foundation for Unstructured Data Management in line with industry best practices. Define and document standards, rules, and frameworks to ensure data quality, consistency, and reusability. Pilot innovative Unstructured Data Frameworks and integrate findings into operational practices.

Assess document processing techniques such as OCR, NLP, and VLM, as well as metadata management, ontologies,



and vector database solutions. Support transformation initiatives related to data exploitation for AI and analytical purposes.

Configure Data

Management tools directly in a hands-on manner. Build parsing, extraction, and enrichment pipelines in Python.

Define Data

Quality rules for unstructured data leveraging AI. Extensive experience in data management disciplines such as Data Governance , Metadata , Data Quality , Data Architecture , and Data Modelling . Proven track record of delivering operational data management activities in complex environments.

Deep understanding of unstructured data challenges , including volume, format heterogeneity, and lack of fixed schema. Python proficiency, specifically for parsing, extraction, and enrichment pipelines. Ability to configure Data Management tools directly.

Hiring manager Contact: [email protected]

📌 Data Manager AI (Madrid)
🏢 Senovo IT
📍 Madrid