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Important information
Contract type:
Freelance
Daily rate:
425€/day
This job is at 0% commission 🎉Location:
Barcelona, Spain
Starting date:
Urgent
Work mode:
Hybrid
Published on:
23 April 2026
What they need
Project context
Project Details
Location: Barcelona
Work mode: Hybrid (minimum 2 days on-site)
Start date: ASAP
Duration: 6 months
Language(s): English (mandatory), Spanish or French (plus)
Project Summary
Provision of expertise in data architecture, data modelling, data compliance, and data quality to support business data utilization initiatives. The objective is to enable the deployment and scaling of shared data and AI solutions across the Group, with a focus on Claim and Underwriting domains, while supporting alignment with Group data standards and frameworks.
Goals and deliverables
Main Responsibilities & Key Activities
Engage with Group and Entity stakeholders to analyze and formalize data requirements across data dimensions, including business definitions, data quality, data products, data governance, unstructured data management, data platforms, and architecture
Contribute to defining data quality and readiness assessments for AI adoption
Collaborate with the Group Data Office and relevant teams on data architecture, data management, data & AI governance, and unstructured data frameworks
Support the development and refinement of data requirements for prioritized AI capabilities
Participate in the construction of unstructured data frameworks
Provide weekly reporting on project status and next steps
Produce formalized data requirements documentation for prioritized AI solutions
Deliver meeting minutes and stakeholder engagement summaries
Profile wanted
Experience Required
Mandatory Experience
At least 8 years of experience in data modelling
At least 8 years of experience in data architecture, including data flows, APIs, and data platforms
Experience in data management, including data quality and unstructured data
Experience in data compliance
Knowledge of data regulations and security standards
Preferred Experience
Familiarity with Data Product and Data Mesh concepts
Understanding of AI, including Generative AI
Experience with Insurance Data Domains within the insurance value chain
Knowledge of Acord Reference Architecture
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