Senior Data Architect

- Data Requirements & Architecture: Analyze and formalize data requirements covering business definitions, data quality, data products, data governance, unstructured data management, and data platforms/architecture based on group standards. - Maturity & Readiness Assessment: Contribute to defining data quality and readiness assessments to measure entity maturity for adopting AI capabilities. - Stakeholder Engagement: Engage with global and entity-level stakeholders to gather requirements, alignment, and coordinate cross-functional initiatives. - Compliance & Governance: Translate business strategy and operational processes into compliance requirements, controls, and governance frameworks. Prepare deliverables and execute assessments. - Planning & Execution: Plan, prioritize, and monitor data compliance activities, ensuring structured execution, traceability, and adherence to deadlines. - Reporting: Deliver weekly reporting on status and proposed next steps, along with meeting minutes from stakeholder sessions. - Experience: Minimum of 8 years of proven live expertise in: - Data modeling and data architecture (data flows, APIs, data platforms, etc.) - Data management (data quality, unstructured data, etc.) - Data compliance - Regulatory & Security: Solid general expertise in data regulations and data security. - Methodological Expertise: Compliance assessments, governance frameworks, and operational process translation. - Domain Knowledge: Expertise in the insurance value chain. - Expertise in Data Product and Data Mesh concepts. - General expertise in AI and Generative AI (GenAI). - Specific expertise in Insurance Data Domains across the insurance value chain. - Familiarity with the ACORD Reference Architecture. English: Mandatory fluent level (both written and spoken) for operating in an international environment. Barcelona