OverviewIn 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.
ResponsabilidadesOwn 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 principalesExperience 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 (Barcelona)
🏢 Vueling Airlines
📍 Barcelona