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 - Viladecans (Barcelona)
🏢 Vueling Airlines
📍 Barcelona