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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Текст:
Hirify AI/Оригинал
TL;DR
Data Business Owner (AI): Defining and evolving data-driven and AI-powered solutions for Customer Operations with an accent on data architecture, Generative AI, Large Language Models, and Knowledge Graphs. Focus on translating business needs into scalable data products, governing data quality, and driving measurable customer and operational outcomes.
Location: Viladecans - Barcelona, Spain
Company
hirify.global is part of the IAG Group and operates around 250 routes across 30 countries with more than 5,000 employees.
What you will do
Own the data vision and roadmap for Customer Operations, identifying opportunities to improve customer experience, operational efficiency, and decision-making.
Translate business requirements into data and AI use cases with objectives, outcomes, KPIs, and priorities.
Contribute to high-level data architectures covering sources, integration patterns, platforms, APIs, analytical layers, and consumption models.
Define and drive Generative AI and LLM use cases for classification, summarisation, knowledge retrieval, automation, and decision support.
Explore Graph and Knowledge Graph solutions connecting customers, interactions, transactions, behaviours, and other entities.
Collaborate with Data Engineering, Data Science, AI, IT, and business teams to define requirements, acceptance criteria, governance, quality, and continuous improvement.
Requirements
Bachelor’s degree in Business, Data, Technology, Engineering, Computer Science, Mathematics, or a related field.
Experience translating business challenges into data requirements and analytical or AI solutions.
Strong understanding of data analytics and data-driven decision-making.
High-level knowledge of modern data architectures, including data lakes, lakehouses, APIs, data pipelines, cloud data platforms, and analytical layers.
Understanding of Generative AI, Large Language Models, prompt engineering, RAG, embeddings, and semantic search.
Understanding of Graph and Knowledge Graph concepts, including entities, nodes, relationships, and complex datasets.
Strong analytical, stakeholder management, and communication skills, with the ability to work across business and technical teams.
Familiarity with SQL and BI or analytics tools; advanced software engineering skills are not required, but the ability to understand and challenge technical solutions is expected.
Ability to manage and prioritise multiple data and AI initiatives according to business value.
Nice to have
Additional training or certifications in Data Analytics, Artificial Intelligence, Data Architecture, or Data Governance.
Experience or exposure to Databricks, Microsoft Fabric, Snowflake, Power BI, Azure AI, Azure OpenAI, vector databases, Neo4j, or other LLM and Knowledge Graph platforms.
Exposure to data governance, data quality frameworks, and RAG architectures.
Culture & Benefits
Values include making it happen, making it better, making it safe, staying cost-focused, being customer-oriented, and winning together.
Work in an innovation-focused aviation environment within the IAG Group.
Vueling is committed to a diverse and inclusive workplace and considers all qualified applicants for employment.
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