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Salary: USD 127,500 - 178,000 / annual
Oura is seeking an Enterprise Architecture Analyst to support its Enterprise Architecture function by maintaining an accurate, business-owned application and capability inventory, primarily in LeanIX. This is an initial 6-month term role that partners with business and IT stakeholders to keep applications, ownership, and metadata current, delivering clear reporting that enables Profitable Growth and Operational Excellence through better application portfolio management.
Key responsibilities include maintaining and improving the LeanIX application and capability inventory, ensuring apps, interfaces, and business capabilities are accurately represented and kept current. You will partner with business owners across functions to confirm application ownership, lifecycle status, and basic application portfolio management attributes such as criticality, usage, and risk. The role involves building and maintaining standard reports and views in LeanIX and Lovable that give Enterprise Architecture and business leaders visibility into the application landscape and ownership.
You will use EA tooling including LeanIX, Jira, and Confluence, along with AI tools such as Claude, Glean, and Lovable to streamline data collection, validation, documentation, and reporting. You will support EA intake and governance processes by preparing application and capability views and documentation for reviews and decision-making.
Required qualifications include 2+ years of experience as a business systems, data, or enterprise architecture analyst working with application portfolios or system inventories in a complex environment. Familiarity with enterprise architecture or application portfolio tools such as LeanIX or similar, and collaboration tooling like Jira and Confluence is essential. Strong attention to detail and a structured approach to keeping data accurate, consistent, and well-documented across multiple stakeholders is critical. You must be comfortable engaging directly with business and IT partners to clarify ownership, usage, and lifecycle status for applications and capabilities, with clear written and verbal communication skills and ability to produce simple diagrams, tables, and reports for non-technical stakeholders. Demonstrated AI fluency with regular use of LLM assistants and agents like Claude and AI app-building tools like Lovable and Glean is required, with a habit of verifying and correcting AI output before sharing.
