Senior Director Enterprise Architecture & Ontology

Your job

• Shape the evolution of the enterprise architecture practice by defining directions, methods, standards, and priorities that support decision-making and organizational transformation.
• Define and evolve an enterprise ontology that connects business capabilities, processes, data, applications, interfaces, technology components, and controls through clear semantics and governed relationships.
• Establish modelling principles, governance mechanisms, and accountabilities that enable different teams to contribute to a shared, reliable, and reusable understanding of the enterprise.
• Leverage artificial intelligence and automation to discover and reconcile relationships across LeanIX, the CMDB, and other authoritative sources without creating a new monolithic repository, while ensuring information quality, governance, and traceability.
• Transform the enterprise ontology into products, views, integrations, and use cases that support strategic planning, impact analysis, technology decisions, and transformation initiatives.
• Represent the practice in architecture and delivery forums, engage stakeholders, and measure adoption, coverage, and value delivered to adjust priorities based on the organization’s needs.

Your team

The Enterprise Architecture practice brings together specialists who work collaboratively to develop an integrated understanding of the organization and support its transformation. You work closely with architecture, business, data, technology, and platform teams.

Within the Enterprise Architecture sector, you report to the Bank’s Chief Architect. You contribute to transforming knowledge that is currently distributed across multiple teams, repositories, and tools into a coherent, accessible, and actionable view that supports decision-making.

We aim to provide you with maximum flexibility to enhance your quality of life. This includes a hybrid work environment as well as a flexible and adaptable schedule.

The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through experience, help you master your role and develop new areas of expertise. Resources such as the Data Academy, language training, the Harvard Learning Center, as well as coaching and mentoring support, are available to you at all times.

Prerequisites

• University degree in engineering, computer science, or a related field and at least ten years of relevant experience in enterprise or solution architecture.
• In-depth expertise in enterprise ontology, semantic modelling, or knowledge graphs, as well as modelling relationships between business and technology assets.
• Strong command of enterprise architecture repositories and authoritative sources, including LeanIX and CMDBs.
• Expertise in information governance, data quality, traceability, and the reconciliation of data from multiple sources.
• Hands-on experience with artificial intelligence and automation applied to relationship discovery, knowledge quality improvement, and the delivery of enterprise capabilities.
• Strong understanding of integration architectures, application programming interfaces (APIs), event-driven architectures, cloud computing, and digital ecosystems.