Technical Data Steward
- Hiring from
- Sweden
- Work type
- Hybrid
- Posted
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AddanEx JOB POSTING:
Title: Technical Data Steward
Location: Stockholm, Sweden
Onsite / Remote: Onsite 2-3 days per week
Type: Contract
Start Date: ASAP
Duration: 12 Months + Extensions
Utilisation: 40 Hours per week
Languages: English (Swedish bonus)
Mission description
Our client is seeking a Technical Data Steward for the Master Data Office to develop, structure and secure master data across complex IT environments.
The role bridges business and IT, translating master data requirements into scalable, sustainable technical solutions. You will collaborate with operations, developers, architects and stakeholders to improve data structures, integrations, quality and governance.
Responsibilities
- Drive master data initiatives from business requirements to technical solutions.
- Maintain data models, information structures, relationships and integrations.
- Analyse data flows, dependencies and impacts across multiple systems.
- Identify root causes of data issues and drive improvements.
- Ensure alignment with data standards, principles and architecture.
- Advise projects and coordinate prioritised master data initiatives.
- Support high-quality, reusable data structures while minimising technical debt.
Required Experience
- Several years of experience implementing master data or data management solutions.
- Strong knowledge of data modelling, information structures and integrations.
- Experience with impact analysis, cross-system data flows and complex IT landscapes.
- Ability to translate business needs into sustainable technical solutions.
- Experience collaborating with business teams, developers and architects.
- Ability to interpret data models, information models and integration documentation.
- Fluency in Swedish and English, spoken and written.
Meritorious
- Master data experience in retail, logistics or supply chain.
- SQL or equivalent data analysis tools.
- MDM solutions and data quality improvement.
- GS1 standards and information models.
- Experience in large organisations with complex system landscapes.
Please apply for further information!
