Key Responsibilities

• Establish and maintain a structured source system assessment and discovery framework.
• Create and manage an inventory of source systems, including ownership, availability, access requirements, dependencies, and data characteristics.
• Conduct hands-on data profiling and source system analysis to validate suitability and readiness for integration.
• Engage with business and technical stakeholders to understand source system behaviours, dependencies, and challenges.
• Define target data models aligned to enterprise data standards and architecture principles.
• Produce detailed source-to-target mappings and transformation requirements.
• Create and manage implementation backlogs within Jira, including integration decisions, dependencies, user stories, and acceptance criteria.
• Collaborate closely with engineering teams to support implementation activities and resolve architectural challenges.
• Establish repeatable modelling, mapping, and integration patterns that can be adopted across future data initiatives.
• Produce clear architectural documentatio

Key Responsibilities

• Establish and maintain a structured source system assessment and discovery framework.
• Create and manage an inventory of source systems, including ownership, availability, access requirements, dependencies, and data characteristics.
• Conduct hands-on data profiling and source system analysis to validate suitability and readiness for integration.
• Engage with business and technical stakeholders to understand source system behaviours, dependencies, and challenges.
• Define target data models aligned to enterprise data standards and architecture principles.
• Produce detailed source-to-target mappings and transformation requirements.
• Create and manage implementation backlogs within Jira, including integration decisions, dependencies, user stories, and acceptance criteria.
• Collaborate closely with engineering teams to support implementation activities and resolve architectural challenges.
• Establish repeatable modelling, mapping, and integration patterns that can be adopted across future data initiatives.
• Produce clear architectural documentatio