Job Title: Project Manager – Data Architecture & Data Quality
Location: Brussels, Belgium (Hybrid)
Role Overview:
This role focuses on coordinating and managing data architecture, data quality, and integration activities within a large-scale digital transformation and case management environment. The Project Manager supports cross-functional teams by ensuring reliable data flows, successful migrations, and stable release processes across multiple interconnected projects.
Key Responsibilities:
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Lead and coordinate data architecture initiatives, including data models and system integrations
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Ensure data quality, consistency, completeness, and reliability across systems
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Identify and resolve data-related challenges during migrations and release cycles
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Coordinate data activities between business teams, ICT departments, and external vendors
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Manage cross-project data dependencies and integration requirements
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Support production readiness and secure release management processes
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Prepare structured reporting for governance and management bodies
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Contribute to data governance and continuous improvement initiatives
Key Skills Required:
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Data architecture and data management expertise
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Strong knowledge of data models, data flows, and system integrations
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Experience with data migration and data quality improvement
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Understanding of databases, Big Data environments, and enterprise data ecosystems
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Experience in ICT project environments and digital transformation programs
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Familiarity with Dynamics 365 and Salesforce environments is an advantage
Soft Skills:
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Strong analytical and problem-solving abilities
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Structured and detail-oriented mindset
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Excellent coordination and stakeholder management skills
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Ability to work in complex, multi-stakeholder environments
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Strong communication and organizational capabilities
Languages:
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Dutch or French (native level)
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English (working knowledge)
Nice to Have:
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Experience within the public sector or judicial domain
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Knowledge of data governance practices and compliance standards
Focus of the Role:
Ensuring high-quality, reliable, and well-integrated data management processes by coordinating data architecture, migration, and quality initiatives across multiple digital transformation projects.
