We understand that finding the right opportunity can be tough, but I'll try to make it easier.
You're reading aboutZurich Insurance Group, a global leader in insurance, but this role specifically pertains to ourTechnology Delivery Center (TDC). Established in Barcelona in ****, the TDC operates as an integral part of Zurich Insurance Group, providing cutting?edge technological solutions and support to Zurich's local and global business units.
In essence, Zurich TDC is where technology meets the vast reach of a multinational company. We specialize in areas such as software development, data analytics, cybersecurity, and IT infrastructure. Our primary mission is to support Zurich's strategic goals and enhance operational efficiency through innovative technology solutions.
If you're considering a role with us, know that you'll be joining a hub of technological excellence dedicated to driving Zurich's success on a global scale.
Position OverviewThe Enterprise Data Management (EDM) Specialist is responsible for the operation, optimization, and continuous enhancement of the enterprise Data Governance Platform, with a primary focus on Informatica Cloud Data Governance Catalog (CDGC) and Cloud Data Quality (CDQ). This role ensures that enterprise data is trusted, discoverable, and governed by driving high?quality metadata management, robust data quality controls, and complete end?to?end data lineage. Acting as a key technical authority, the EDM Specialist manages metadata ingestion, API?driven integrations, platform monitoring, and service account governance, while enabling advanced data observability capabilities.
As an Enterprise Data Management Specialist you will have the opportunity to:Configure, automate, and manage data quality rules and monitoring frameworks within CDQ,



using AI?based anomaly detection and monitoringUseAI to ensure accurate capture, validation, and maintenance of end?to?end data lineage, supporting impact analysis and regulatory transparencyDefineand implement data observability metrics (e.completeness, freshness, accuracy, reliability), including reporting and dashboarding, using AI tools to surface trends and insightsUseAI assistants and AI agents to generate and maintain business glossaries, data asset descriptions, and stewardship documentation, propose and pre?populate data quality rules and policies based on patterns in existing metadata and data issuesCollaboratewith data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI?assisted catalog featuresManageplatform access, including user roles, permissions, and service account lifecycle management (creation, credential governance, rotation, and compliance adherence)Design, configure, and optimize metadata ingestion processes using Informatica connectors, APIs, and custom integration patternsExecuteand maintain API/MCP?based read and write operations to enable automated metadata ingestion, enrichment, and governance workflowsMonitorand ensure reliability of scanning processes, ingestion pipelines, API activity, and platform performance. line support, coordinating with platform administrators and Informatica vendor support for complex incidentsUseAI to document standards, processes,



and best practices to ensure scalability, consistency, and operational excellenceWhat Makes You a Great Fit? Bachelor's or master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
Hands?on expertise with Informatica IDMC, specifically MCC (Metadata Command Center), CDGC (Cloud Data Governance Catalog) and CDQ (Cloud Data Quality). Deep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries and integration patterns for ingesting metadata from multiple sources.
Data quality rule design and implementation. Data lineage, impact analysis, and governance frameworks.
Experience working with enterprise data platforms (e.data warehouses, ETL/ELT tools, cloud ecosystems). SQL skills and solid understanding of data structures.
Practical experience with Generative AI, ideally in coding and agentic workflows. script generation, test creation, documentation drafts). Design and execute prompt strategies for LLMs to work safely with metadata and catalog content.
Integrate AI?based components into existing data governance workflows.relatedExperience with additional data governance / catalog solutions (e.
Exposure to AI/ML?based observability or monitoring tools for data platforms.
Python, PowerShell). Familiarity with cloud?native data services in Azure and/or AWS, including security and compliance controls.service data discovery capabilities for business users.
Good communication, stakeholder management, and analytical skills.
Fluency in English; additional languages are an advantage.life balance, we have adopted a versátil working model.
Over 300 euros to set up your home office and a

📌 Data Analyst (España)
🏢 Zurich Insurance
📍 España