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the recruiter for this position. Nice to meet you!

• First, a little bit about what I like the most about working at: The environment here is incredibly collaborative and innovative. Our tech-driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive
• Let me introduce us. You’re reading about , a global leader in insurance, but this role specifically pertains to our Established in Barcelona in 2006, 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

The 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
• The role adopts an AI first mindset, systematically using Generative AI, AI agents, and automation to reduce manual effort, improve consistency, and accelerate delivery (e.g., AI-assisted documentation, automated metadata enrichment, intelligent anomaly detection)
• The role collaborates closely with business units, group functions, platform engineering teams, and vendor support, requiring strong technical expertise combined with the ability to translate governance requirements into scalable, AI-enabled platform solutions
• automate, and manage data quality rules and monitoring frameworks within CDQ, using AI-based anomaly detection and monitoring
• AI to ensure accurate capture, validation, and maintenance of end-to-end data lineage, supporting impact analysis and regulatory transparency
• and implement data observability metrics (e.g., completeness, freshness, accuracy, reliability), including reporting and dashboarding, using AI tools to surface trends and insights
• AI 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 issues
• with data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI-assisted catalog features

platform 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 patterns
• and maintain API/MCP-based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows
• and ensure reliability of scanning processes, ingestion pipelines, API activity, and platform performance. Troubleshoot and resolve issues related to metadata ingestion, API integrations, authentication, and service account access
• as a subject matter expert and second-line support, coordinating with platform administrators and Informatica vendor support for complex incidents
• AI to document standards, processes, and best practices to ensure scalability, consistency, and operational excellence
• While we’re not seeking perfection or expecting you to save the world, we believe that if you meet some of these requirements, you’ll be a fantastic fit for our team
• 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.g., data warehouses, ETL/ELT tools, cloud ecosystems). SQL skills and solid understanding of data structures
• Experience with API integration and automation (REST APIs, MCP frameworks)
• Knowledge of authentication and authorization mechanisms (OAuth, JWT, Service principals)
• Practical experience with Generative AI, ideally in coding and agentic workflows. Demonstrated ability to use AI tools to:
• Automate repetitive technical tasks (e.g., 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
• Preferred Skills & Competencies
• Experience with additional data governance / catalog solutions (e.g., Collibra, Alation)
• Exposure to AI/ML-based observability or monitoring tools for data platforms
• Experience with scripting or programming languages commonly used for automation (e.g., Python, PowerShell)
• Familiarity with cloud-native data services in Azure and/or AWS, including security and compliance controls
• Experience designing or operating AI-assisted self-service data discovery capabilities for business users
• Behavioural and soft skills
• Proactive, results-driven attitude with a commitment to continuous improvement