Enterprise Architecture Data Analyst

Role Overview

• Curate, maintain, and improve metadata within the Enterprise Architecture Repository, ensuring alignment with architecture frameworks, taxonomies, and governance standards.
• Partner with Enterprise Architects and stakeholders to collect, validate, and structure data related to applications, technologies, capabilities, and business processes.
• Support the Architecture Practice Manager with data management and metrics related to our architecture practices.
• Conduct regular data quality reviews and implement controls to ensure accuracy, completeness, and consistency of architecture data.
• Develop and maintain dashboards, reports, and visualizations that provide insights into architecture health, technology lifecycle, and strategic alignment.
• Support the implementation and administration of EA modules, including data model configuration, data imports, and user enablement.
• Collaborate with architecture and IT governance teams to define and enforce metadata standards, naming conventions, and stewardship responsibilities.
• Identify and implement process improvements that enhance the efficiency and effectiveness of architecture data management.
• Provide training and support to architects and contributors on repository usage, data entry standards, and reporting capabilities.
• Stay current on EA capabilities and industry best practices in architecture data management.
• Conduct interviews and facilitate surveys with application owners and support teams to gather architecture metadata.
• Design and implement repeatable methods for collecting and validating application and technology data.
• Develop and manage data imports and exports between EA and other systems (e.g., Excel, Access).
• Review existing architecture data and reports to identify and resolve data quality issues.
• Follow up with stakeholders to ensure timely and accurate data collection and updates.
• Ability to quickly surface enhanced data for consumption.
• Ability to manage and capture ad hoc and formal data and add to repositories.

Requirements

• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, or a related field, or equivalent combination of education and experience.
• 2+ years of experience in data analysis, data governance, or information management.
• Familiarity with enterprise architecture concepts, frameworks (e.g., TOGAF), or tools.
• Strong SQL skills and experience working with structured data sets.
• Ability to translate technical data into business-relevant insights.
• Strong collaboration and communication skills, with the ability to work across technical and non-technical teams.
• Experience with metadata management, data stewardship, or architecture modeling tools.
• 5+ years of experience in business or data analysis, preferably supporting internal IT or architecture initiatives.
• Experience working on IT-led projects where IT is both the customer and executor.
• Ability to work independently, manage multiple priorities, and deliver high-quality results in a fast-paced environment.

Tech Stack

• SQL

Benefits

• Fully Remote