Overview

In this role you will define and drive data-driven and AI-powered solutions for Customer Operations, bridging business needs with data architecture and AI capabilities. You’ll shape the data vision, establish use cases and KPIs, and ensure scalable, high-impact outcomes that improve customer experience and operational efficiency. You will collaborate across data engineering, science, IT and business teams, translating requirements into concrete data products while upholding data governance and quality. This is a chance to influence how AI and graph-based data unlock value at scale in a leading European airline.

Responsabilidades

- Own the data vision and roadmap for the business area, identifying data and AI opportunities to improve CX, efficiency and decision-making
- Translate business requirements into data and AI use cases with objectives, KPIs and priorities
- Contribute to high-level data architectures, including sources, integration patterns, platforms, APIs and analytical layers
- Define and drive AI and Generative AI use cases (LLMs for classification, summarisation, knowledge retrieval, automation, decision support)
- Explore Graph and Knowledge Graph-based use cases to connect entities and relationships
- Collaborate with Data Engineering, Data Science, AI, IT and business teams to ensure feasibility and scalability
- Define business requirements and acceptance criteria for data products and intelligent solutions
- Ensure data quality, governance and ownership across deployed solutions




- Monitor performance and business impact of data and AI solutions for continuous improvement
- Act as a business reference point for Data & AI, communicating capabilities and opportunities of emerging tech

Requisitos principales

- Experience translating business challenges into data requirements and AI/analytic solutions
- Strong data literacy and ability to translate needs into clear data requirements
- Understanding of data analytics and data-driven decision-making
- Knowledge of modern data architectures (data lakes, data pipelines, APIs, cloud platforms)
- Understanding of Generative AI and LLMs and their business applications
- Knowledge of prompt engineering, RAG, embeddings and semantic search
- Understanding of Graph and Knowledge Graph concepts
- Strong analytical capabilities to identify patterns and impact
- Familiarity with SQL and BI/analytics tools
- Ability to understand and challenge technical solutions with stakeholders
- Strong stakeholder management and communication skills
- Ability to manage multiple data/AI initiatives by business value
- Experience or exposure to Databricks, Microsoft Fabric, Snowflake, Power BI, Azure AI/OpenAI, vector DBs, Neo4j or related platforms
- Exposure to data governance and data quality frameworks

- Stakeholder management
- Clear communication
- Prioritisation and time management
- Data architectures (lakes, lakehouses, pipelines, APIs)
- Generative AI and LLM concepts
- Prompt engineering, RAG, embeddings, semantic search

📌 Data Business Owner - viladecans
🏢 Vueling Airlines
📍 Viladecans