ph3Position Overview /h3 pThe Enterprise Data Management (EDM) Specialist is responsible for the operation, optimization, and continuous enhancement of the enterprise Data Governance Platform, focusing on Informatica Cloud Data Governance Catalog (CDGC) and Cloud Data Quality (CDQ). The role ensures trusted, discoverable, and governed data through metadata management, data quality controls, and data lineage. It serves as a technical authority managing metadata ingestion, API integrations, platform monitoring, and service account governance while enabling advanced data observability. /p h3Responsibilities /h3 ul liConfigure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI‑based anomaly detection and monitoring. /li liUse AI to ensure accurate capture, validation, and maintenance of end‑to‑end data lineage, supporting impact analysis and regulatory transparency. /li liDefine and implement data observability metrics, report, and dashboarding, surfacing trends and insights with AI tools. /li liGenerate and maintain business glossaries, data asset descriptions, and stewardship documentation using AI assistants, proposing and pre‑populating data quality rules and policies. /li liCollaborate with data stewards and stakeholders to drive adoption of catalog and governance capabilities, including training on AI‑assisted catalog features. /li liManage platform access, including user roles, permissions, and service account lifecycle management. /li liDesign, configure, and optimize metadata ingestion processes using Informatica connectors, APIs, and custom integration patterns. /li liExecute and maintain API/MCP‑based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows. /li liMonitor reliability of scanning processes, ingestion pipelines, API activity,



and platform performance; troubleshoot and resolve related issues. /li liAct as a subject‑matter expert and second‑line support, coordinating with platform administrators and Informatica vendor support for complex incidents. /li liDocument standards, processes, and best practices using AI to ensure scalability, consistency, and operational excellence. /li /ul h3Qualifications /h3 ul liBachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, or related field. /li liHands‑on expertise with Informatica IDMC, specifically MCC, CDGC, and CDQ. /li liDeep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries, and integration patterns for ingesting metadata from multiple sources. /li liExperience designing and implementing data quality rules, data lineage, impact analysis, and governance frameworks. /li liProficient with SQL and data structures; experience with enterprise data platforms, data warehouses, ETL/ELT tools, and cloud ecosystems. /li liExperience with API integration and automation (REST APIs, MCP frameworks). /li liKnowledge of authentication and authorization mechanisms (OAuth, JWT, Service principals). /li liPractical experience with Generative AI, scripting or programming languages for automation. /li liDemonstrated ability to use AI tools to automate repetitive tasks, design prompt strategies,



and integrate AI components into governance workflows. /li /ul h3Preferred Skills Competencies /h3 ul liExperience with additional data governance/catalog solutions such as Collibra or Alation. /li liExposure to AI/ML‑based observability or monitoring tools for data platforms. /li liExperience with scripting or programming languages commonly used for automation (Python, PowerShell). /li liFamiliarity with cloud‑native data services in Azure and/or AWS, including security and compliance controls. /li liExperience designing or operating AI‑assisted self‑service data discovery capabilities for business users. /li liProactive, results‑driven attitude with commitment to continuous improvement. /li liExcellent analytical, troubleshooting, and problem‑solving capabilities. /li liStrong communication, stakeholder management, and analytical skills. /li liFluency in English; additional languages are an advantage. /li /ul h3Benefits /h3 ul liCompetitive salary and yearly bonus. /li liFlexible working model to support work‑life balance. /li liOption to work abroad up to 25 days yearly. /li liOver 300 € for home office setup and additional monthly allowance. /li liInternal and external training, including language courses. /li liTicket restaurant and health insurance with flexibility to exchange for other benefits. /li liLife and accident insurance, collective life retirement plan, and stock options. /li liReferral bonus of 2000 € and banking and insurance benefits. /li /ul h3Location /h3 pBarcelona, Poblenou (ES) /p h3Equal Opportunity Statement /h3 pAt Zurich, we are an equal opportunity employer. We attract and retain the best‑qualified individuals regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability. /p /p #J-18808-Ljbffr

📌 Enterprise Data Management Specialist (Barcelona)
🏢 Zurich Insurance
📍 Barcelona