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Enterprise Architect (Data & Information Modeling)

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Summary

Contract role via emagine for a leading construction-industry client in Stockholm: an Enterprise Architect designs and maintains conceptual/logical information models, aligns them with enterprise standards and data governance, and supports the client's analytics/AI data delivery initiative. Onsite 2-3 days/week; runs to mid-2027 with possible extension.

A leading client within the construction industry is accelerating its journey toward becoming a truly data-informed organization through a strategic Data Delivery Initiative. The objective is to make key business data assets accessible through the organization's analytics and AI platform, enabling improved decision-making, advanced analytics, and AI-driven use cases across the business.

We are seeking an experienced Enterprise Architect with a strong background in Information Architecture and Information Modelling to support this high-priority initiative.

Start: Preferably mid november but latest first of week of December

End: 2027-06-30 (extension possible)

Location: Stockholm, onsite minimum 2-3 days/week

Responsibilities

As an Enterprise Architect, you will play a key role in shaping the organization's data foundation by:

  • Understanding business and analytical data needs and translating them into structured information models.

  • Identifying information gaps within existing systems, data sources, and business processes.

  • Designing and maintaining conceptual and logical information models that support high-quality data delivery.

  • Ensuring information models are aligned with enterprise standards, business terminology, and governance principles.

  • Supporting the integration of data from multiple domains to enable efficient analytics and AI capabilities.

  • Collaborating with teams across Business Analytics, Data Management, Integration, and Solution Architecture.

  • Contributing to enterprise-wide architectural initiatives and cross-functional data initiatives.

  • Supporting governance, prioritization, and alignment of information architecture with strategic business objectives.

Required Competencies

Information Architecture (Level 4)

  • Ability to define and maintain enterprise-wide information structures, domains, business concepts, and relationships between information assets across multiple business areas.

Information Modelling (Level 4)

  • Extensive experience designing conceptual and logical information models.

  • Proven ability to harmonize data structures across domains and translate business requirements into structured information models.

Enterprise Architecture (Level 4)

  • Strong capability to align information architecture with business goals, architectural principles, and the broader enterprise architecture landscape.

Data Governance & Information Management (Level 4)

  • Experience applying governance principles, supporting information ownership, metadata management, data quality practices, and information standards.

Data Architecture (Level 3)

  • Understanding of data structures, integrations, source systems, and data flows required to support analytics and AI platforms.

Business Analysis & Requirements Management (Level 3)

  • Ability to understand business needs, identify information gaps, and convert requirements into architectural and modelling deliverables.

Required Experience

  • Several years of experience working as an Enterprise Architect or Information Architect in large and complex organizations.

  • Strong expertise in information architecture and information modelling.

  • Experience supporting data-driven transformation initiatives and enterprise data programs.

  • Proven ability to collaborate effectively with both business and technical stakeholders.

  • Strong communication skills and ability to facilitate workshops and discussions around business concepts, information domains, and data requirements.

  • Experience using ArchiMate for information architecture and modelling.

  • Fluent in Swedish and English

Preferred Qualifications

  • Experience with Sparx Enterprise Architect is considered a strong advantage.

  • Experience from data platforms, analytics environments, and AI-enabled organizations is beneficial.

  • Previous experience within construction, infrastructure, engineering, or other asset-intensive industries is a plus.

Skills

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