AI&Data Architect

The assignment is results-oriented. The Data & AI Architect works closely with the Enterprise Architect, the other segment architects (Application and Infrastructure), the domain architects, security/privacy, DevOps teams, and relevant business stakeholders. The architect not only delivers documents but also ensures applicable frameworks, transfer, and safeguarding within projects and change initiatives. Taken en verantwoordelijkheden

• Responsible for developing and realizing the HTM target architecture for data, including the strategic transition from Azure Data Lake to Microsoft Fabric, establishing a clear roadmap, architectural principles, governance, and implementation frameworks to create a scalable, manageable, and data-driven foundation for HTM.
• Responsible for developing and securing the HTM-wide AI architecture, including governance, security, compliance, and standards for safe, reliable, and future-proof AI applications. Translating business goals and information needs into data and AI capabilities, architectural choices, and concrete design principles.
• Designing and reviewing conceptual and logical data models and contributing to a consistent common information language.
• Defining architecture principles, standards, and patterns for data storage, data integration, data exchange, analytics, BI, machine learning, and generative AI.
• Provide direction for the design and further development of data platforms and the positioning of data lake/lakehouse, data warehouse, streaming, and API/event-driven data exchange where relevant.
• Developing architecture for data governance: ownership, classification, metadata, cataloging, lineage, data quality, access control, and lifecycle.
• Developing architectural frameworks for AI, including the use of trusted data sources, model and AI asset governance, traceability/lineage, access control, monitoring, and alignment with security, privacy, and compliance frameworks.
• Assessing projects, PSAs, and solution designs for alignment with the data and AI target architecture, and making deviations, risks, and dependencies explicit.
• Advising on the rationalization, reuse, and standardization of data and analytics services, and the prevention of new data silos and unnecessary platform complexity.
• Supporting relevant initiatives, including BI/Power BI, data products, data exchange, and AI use cases, without assuming the role of engineer or implementation lead.
• Actively transferring knowledge and working methods to internal architects, data specialists, and teams.

• At least 5 years of relevant experience in data architecture in complex environments; demonstrable experience as a Data Architect, Information Architect, or similar role.
• Demonstrable experience in drafting target architectures, architecture principles, roadmaps, and decision documents.
• Strong knowledge of conceptual and logical data modeling, data integration, and data exchange.
• Experience with modern data platform architectures, data lake/lakehouse, data warehouse, analytics/BI, and cloud environments.
• Demonstrable knowledge of data governance, metadata management, data lineage, data quality, and master/reference data.
• Experience with architecture for AI/ML and preferably generative AI, including governance, lifecycle, monitoring, and the relationship between AI and reliable data.
• Experience with architecture methodologies and modeling, preferably TOGAF and ArchiMate.
• Experience with Azure and the Microsoft data/analytics ecosystem is a strong plus.
• Experience in mobility, public transport, asset-intensive organizations, or public service is a plus.
• Capable of clearly translating complex architectural issues to the board/management as well as engineers and data specialists.
• Independent, results-oriented, pragmatic, and strong in stakeholder management and knowledge transfer.