We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
As the Mid Data Governance Analyst, you will develop, execute and embed company-wide data governance processes, policies, and data standards using your influence to win support for Data Governance.
The Data Governance Analysts leads reviews of data governance practices Business Domains and Technical teams undertake, ensuring Data Owners and Data Stewards have clear accountability for the stewardship of the company's strategic data assets and technology teams document data practices.
What You’ll be Doing
Establishing milestones for Data Domains in their Data Ownership journey.
Builds long-term, strategic relationships with Data Owners and Data Stewards.
Drives acceptance of Data Governance and facilitates the engagement of stakeholders in support of the delivery of Business Glossary, Metadata Management, Access Policies and Terms of use.
Identifies the impact of internal or external events, regulations and business use cases on ASOS’s use of data and creates processes to manage compliance.
Leads and plans activities to implement data management strategies with Technical teams.
Builds strong alliance with Data Architecture and Data Engineering.
Implementing and driving adoption of Data Governance Tools such as Data Catalogues and Data Observability, championing business user requirements in the development of these tools.
Advocate Data Quality initiatives and experience implementing Data Quality Frameworks.
Engage with Data Stewards to resolve complex data quality issues as they relate to specific Data Domain requirements.
Supporting team members, offering training and mentorship.
Creating and supporting collaborative ways of working across the Data Governance Teams.
Must have:
- ATLAN experience;
- Confident understanding of Databricks Unity Catalog & Metric View;