Solution Architect

Deliver and manage Information Architecture (IA), including conceptual and logical models, for operational, master, and data products. This includes data models, information flows, master/reference data, and metadata designs to meet one or more business capability requirements. Collaborate with business leaders to evolve IA designs in alignment with business strategy, while owning the IA designs for one or more business capability areas. Take accountability for IA in projects or programs that impact business capability areas within Operations, and ensure that IT change initiatives are aligned with IA by either delivering IA blueprint artifacts or assessing designs from Data Modellers and Solution Architects assigned to the project.

Partner with the Operations Data Office to ensure data governance processes are embedded in all IA designs, and provide assurance evidence through standardized metrics such as master data consumption and data classification metadata to support access processes. Be responsible for selecting or defining appropriate architecture and patterns to support a range of use cases, including traditional reporting (management information and business intelligence), analytics, data science, digital, and operational business needs.

This role involves providing both strategic and tactical data architecture planning and design expertise, applying this knowledge to development projects across technical designs, technology standards, data models, and IA considerations. It also includes supporting the development of data integration architecture and the overall data integration design for projects. Ensure that IA artifacts gain necessary approvals and that standard enterprise data element names, abbreviations, characteristics, and domains are consistently enforced throughout the lifecycle of each project.

Bachelors degree or an equivalent number of years of experience in a Computer Science or Data Management-related field. Proven experience in leading and delivering enterprise data platform architectural strategies and applying them in practical, real-world scenarios. Skilled in the use of conceptual and logical data modeling technologies, with a solid understanding of defining and working within the frameworks of information and data regulatory governance. The ideal candidate will possess a blend of data and information architecture, analysis, and engineering skills, enabling them to contribute effectively across various data initiatives.