Enterprise Data Management Specialist

We Are Waiting for You

Hi there!

I am Álvaro, the recruiter for this position. Nice to meet you!

First, a little bit about what I like the most about working at Zurich Technology Delivery Center
:
The environment here is incredibly collaborative and innovative. Our tech‑driven mindset fosters continuous learning and growth, creating an atmosphere where everyone can thrive. Now, I can’t wait to share this exciting journey with you at Zurich
!

First of all, THANK YOU for considering our company. We understand that finding the right opportunity can be tough, but I’ll try to make it easier.

Let me introduce us. You’re reading about Zurich Insurance Group
, a global leader in insurance, but this role specifically pertains to our Technology Delivery Center (TDC). 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.

And you might be thinking:
This is great, what will my day‑to‑day be like, at TDC? I’m glad you asked.

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 monitoring
• 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), including reporting and dashboarding, using AI tools to surface trends and insights
• Use 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
• 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,…