Enterprise Data Management Specialist (Madrid)

Enterprise Data Management Specialist (Madrid)

05 ago
|
Zurich
|
Madrid

05 ago

Zurich

Madrid

Position Overview
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). The 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. 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, using Generative AI, AI agents, and automation to reduce manual effort, improve consistency, and accelerate delivery.Responsibilities
Configure, automate, and manage data quality rules and monitoring frameworks within CDQ, using AI-based anomaly detection.Use AI to ensure accurate capture, validation, and maintenance of end-to-end data lineage, supporting impact analysis and regulatory transparency.Define and implement data observability metrics (e.G., completeness, freshness, accuracy, reliability) and report through dashboards using AI tools.Use AI assistants and agents to generate and maintain business glossaries, data asset descriptions, and stewardship documentation, proposing and pre-populating data quality rules and policies.Collaborate with data stewards and business stakeholders to drive adoption of catalog and governance capabilities, including training users on AI-assisted catalog features.Manage 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.Execute and maintain API/MCP-based read and write operations to enable automated metadata ingestion, enrichment, and governance workflows.Monitor 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.Act as a subject matter expert and second-line support, coordinating with platform administrators and Informatica vendor support for complex incidents.Use AI to document standards, processes, and best practices to ensure scalability, consistency, and operational excellence.Qualifications
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, CDGC, and CDQ.Deep understanding of metadata management and enterprise data cataloging, including metadata models, classifications, and glossaries.Experience designing and implementing data quality rules, data lineage, impact analysis, and governance frameworks.Experience 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, including coding and agentic workflows,



and ability to use AI tools to automate repetitive technical tasks.Preferred Skills & Competencies
Technical & AI-related
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.Excellent analytical, troubleshooting, and problem‑solving capabilities.Good communication, stakeholder management, and analytical skills.Fluency in English;

additional languages are an advantage.Benefits
Competitive salary and yearly bonus.Flexible working model to support work‑life balance.Option to work abroad up to 25 days yearly.Over 300 euros to set up a home office and additional monthly home‑office allowance.Wide range of internal and external trainings, including English, German and Spanish classes.Ticket restaurant and health insurance with versátil exchange options.Life and accident insurance.Collective life retirement plan.Referral bonus of 2000 euros for each successful hire.Special banking and insurance conditions plus exclusive employee discounts.Functional diversity benefits.Stock options and mortgage benefits.Location
Barcelona, Poblenou (ES).Equal Opportunity Statement
At Zurich, we are an equal opportunity employer. We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability.
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📌 Enterprise Data Management Specialist (Madrid)
🏢 Zurich
📍 Madrid

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