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Job Description

Job Title : Data Steward

Experience : 2 - 5 Years

Industry : Banking / Financial Services


About the Role :


We are seeking a motivated Data Steward to join the Data Governance team of a leading Swedish bank. This role plays a key part in ensuring data quality, governance, lineage, and business impact across critical domains. It is a global opportunity with the possibility of relocation to Sweden for the right candidate.


Key Responsibility Areas (KRA) :


- Define, maintain, and manage Critical Data Elements (CDEs), business glossaries, and data quality rules

- Build and maintain conceptual and business information models to represent data flows

- Document and support business and technical data lineage across multiple applications and systems

- Drive and monitor data quality rules, create dashboards, and follow up on remediation actions

- Identify, engage, and collaborate with Data Owners, Data Custodians, domain experts, and business consumers

- Support data governance requirements, including regulatory compliance (e.g., GDPR, BCBS239, IRB)

- Partner with Agile teams to embed metadata management, lineage tracking, and quality-by-design principles into development processes

- Prepare and deliver domain-level data governance reports to ensure data accountability and transparency


Skillsets Required :


- Strong hands-on experience with SQL, Excel, and business intelligence tools such as Power BI or MicroStrategy


- Practical knowledge of metadata management tools (e.g., Ab Initio SWIC, Data DNA)

- Understanding of ETL processes, data warehousing concepts, and integration methods

- Familiarity with SAFe Agile framework and working in cross-functional teams

- Solid understanding of banking regulations, data privacy, and security frameworks

- Strong analytical, problem-solving, and structured thinking abilities

- Excellent communication skills, able to bridge the gap between IT and business stakeholders

- Fluent in English; knowledge of Swedish or Baltic languages is an advantage


Educational Qualification :


- Bachelors or Masters degree in Data Science, Computer Science, Finance, Economics, or a related field, or equivalent work experience


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