Enterprise Architect (Data & Information Modeling)
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.