Enterprise Data Architect - Enterprise Intelligence Layer (EIL)

Techno-Functional Architect – Enterprise Intelligence Layer (EIL), AI/RAG, IAM Location: Sweden Contract Duration: 12 months contract and extendable We are looking for a highly experienced Techno-Functional Architect to lead the architecture and strategic design of an Enterprise Intelligence Layer (EIL). The ideal candidate will have 8+ years of experience across Enterprise Architecture, Data Architecture, Analytics and AI Transformation, with a strong ability to bridge business requirements with modern data and AI capabilities. You will be responsible for defining an Enterprise Intelligence Layer that sits above existing enterprise data platforms and business applications, enabling organisations to access, understand and utilise trusted enterprise information through advanced analytics, Generative AI and intelligent applications. This is primarily a strategic architecture and consulting role, requiring strong business engagement, architectural leadership and the ability to translate complex business requirements into scalable technical solutions. It is not a pure AI development or data engineering position. Key Responsibilities

• Lead workshops with business, data and technology stakeholders to understand business processes, KPIs, decision-making flows and intelligence requirements.
• Translate business requirements and use cases into scalable data, semantic, knowledge and AI architectures.
• Define the target architecture for an Enterprise Intelligence Layer (EIL) sitting above enterprise data platforms and business applications.
• Design enterprise data architecture covering Data Products, federated data access and data integration.
• Define semantic layers, business glossaries, metadata, data lineage, taxonomies and ontologies.
• Assess the existing enterprise data landscape, including data quality, ownership, governance, accessibility and AI readiness.
• Establish approaches for grounding AI solutions in trusted enterprise data, business definitions and organisational context.
• Define architectural patterns supporting Generative AI, LLMs, RAG, enterprise search, context engineering and AI agents.
• Design solutions enabling AI to understand business intent, reason across enterprise knowledge, explain insights and recommend actions.
• Address personalisation of enterprise intelligence based on user roles, responsibilities, permissions and business context.
• Ensure architecture incorporates security, IAM, governance, privacy, lineage, explainability and AI observability.
• Identify and prioritise high-value business use cases based on business value, data readiness and technical feasibility.
• Define the EIL MVP, target architecture, capability gaps and phased implementation roadmap.
• Communicate architectural recommendations and strategic direction to senior stakeholders and executives.

Required Experience & Skills

• 10+ years of experience in Enterprise Architecture, Data Architecture, Solution Architecture or related architectural disciplines.
• Proven experience designing enterprise-wide data architectures and complex technology ecosystems.
• Strong understanding of enterprise data platforms, Data Products and federated data access.
• Experience with semantic layers, metadata management, business glossaries, taxonomies and ontologies.
• Good understanding of Knowledge Graphs and their application in connecting enterprise entities, relationships and business context.
• Strong understanding of Generative AI, LLMs, RAG, enterprise search and AI agents.
• Experience designing or defining architectures that connect enterprise data with AI capabilities.
• Understanding of data governance, data quality, IAM, security and enterprise information management.
• Ability to translate complex business requirements into enterprise-level architectural designs and roadmaps.
• Excellent consulting, stakeholder management, workshop facilitation and executive communication skills.