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.

La información a continuación detalla los requisitos del puesto, la experiencia esperada del candidato y las cualificaciones correspondientes.
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 & CompetenciesTechnical & 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.
- Versátil 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 flexible 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. xqbhyrx We attract and retain the best-qualified individuals available, regardless of race/ethnicity, religion, gender, sexual orientation, age, or disability.

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