![H&M Group](https://contents.bebee.com/companies/se/hm-group/avatar-oke5H.png)
Global Data Quality Manager
13 hours ago
The H&M Group is committed to delivering high-quality products and services while minimizing our environmental impact. As a Senior Data Governance Specialist, you will play a crucial role in shaping our data-driven approach, ensuring that our operations are efficient, secure, and aligned with our business goals.
About the Job
In this role, you will focus on designing data governance practices, guardrails, and guidelines for meta- and master data management. You will work collaboratively with stakeholders to establish efficient data management processes, supported by fit-for-purpose tooling. Your responsibilities will include establishing efficient processes for data management, collaborating with Data Domain Owners and Data Stewards, and ensuring alignment of data implementations with business rules and best practice ways of working.
Key Responsibilities
- Design and develop data governance practices, guardrails, and guidelines for meta- and master data management
- Collaborate with stakeholders to establish efficient data management processes, supported by fit-for-purpose tooling
- Ensure alignment of data implementations with business rules and best practice ways of working
- Continuously improve the effectiveness of tooling and ways of working
Requirements
- Bachelor's degree in Computer Science or related field
- High level of knowledge in Master Data Management and/or Metadata Management, with hands-on experience of implementing tooling
- Good knowledge in at least 1-2 other areas of Data Management, such as Data Quality Management
- Understanding of different elements of data management and how they achieve fit-for-purpose data
- Knowledge of governance frameworks, such as DAMA and EDM
- Experience from writing guidelines and guardrails
- Experience from large and global organizations
- Excellent verbal communication and documentation capacity in English
Our Company Culture
The H&M Group values teamwork, entrepreneurial spirit, and believing in people. This is a full-time position based in Stockholm, offering the opportunity to shape the data-driven approach of a leading global fashion company.
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