> Markdown version of [/jobs/ext/2067270-data-management-ai-lead](https://www.wearedevelopers.com/jobs/ext/2067270-data-management-ai-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Management & AI Lead - **Company:** Senovo IT - **Location:** Madrid, Spain (Remote available) - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Architecture, Data Governance, Data Integrity, Graph Database, Python (Programming Language), Metadata, Meta-Data Management, Operational Data Store, Unstructured Data, Large Language Models, Data Management - **Published:** August 15, 2026 - **Apply:** https://es.trabajo.org/oferta-5001-0494888a8b189db668915bd6ccb1184c ## About the Role gather feedback and align with strategic objectives. - Pilot innovative Unstructured Data Frameworks and integrate findings into operational practices. - Evaluate technology vendors, benchmark solutions, and recommend suitable tools and platforms. - 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. Must Have - 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. - Strong knowledge of document processing technologies, including OCR, NLP, and VLM . - Deep understanding of unstructured data challenges , including volume, format heterogeneity, and lack of fixed schema. - Strong operational and technical profile, rather than a purely theoretical one. - Python proficiency, specifically for parsing, extraction, and enrichment pipelines. - Ability to configure Data Management tools directly. - Comfort using AI/GenAI, including LLMs, RAG , and auto-classification. - Solid understanding of AI fundamentals , including embeddings , vector stores , and agents. - Strong knowledge of the semantic layer, including metadata management, ontologies, and knowledge graphs. Nice to Have - Familiarity with vendor evaluation, benchmarking, and solution assessment methodologies. - DAMA certification. Hiring manager Contact: menna@senovo-IT.com ## Description Data Management & AI - Duration: 6 months+ - Location: Barcelona or Madrid preferred (1 day/week on site) - Languages: Spanish + English Context 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. Key Responsibilities - 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. - Collaborate with internal stakeholders to ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [AI That Fits Your Business, Not the Other Way Around](https://www.wearedevelopers.com/videos/100148-ai-that-fits-your-business-not-the-other-way-around) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)