Overview
We are seeking an experienced Data and AI Architect to lead a comprehensive assessment of AI readiness for a public sector organization in Scotland. The selected candidate will work closely with technical teams and stakeholders to establish a robust framework for data and AI initiatives, ensuring alignment with strategic goals and governance standards. This hybrid role involves significant collaboration and will require a deep understanding of data architecture across various platforms, enabling the transition toward effective AI adoption.
Responsibilities
- Undertake an AI readiness assessment, establishing a baseline of data assets, data models, schemas, and information structures.
- Assess the current data management landscape and advise on strategic direction and roadmap.
- Conduct a data discovery exercise to catalogue data holdings and establish metadata standards.
- Evaluate data quality and lifecycles, including lineage, classification, ownership, and retention.
- Collaborate with operational teams to validate the current (as-is) state and assist in transformation initiatives.
- Update artefacts for current and legacy solutions to accurately reflect the current state.
- Identify target states and priorities for data and AI initiatives and develop strategic solutions.
- Align recommendations with the organization's architecture principles and develop a transition roadmap linked to strategic goals.
Requirements
- Proven experience as a Data and AI Architect in a public sector environment.
- Strong expertise in data architecture across platforms such as Managed File Transfer, databases, SAS, R/Posit, Power BI, and Databricks.
- Practical understanding of AI adoption frameworks within governance contexts.
- Experience in conducting AI readiness assessments and developing strategic data initiatives.
- Knowledge of metadata standards, data quality assessment, and lifecycle management.
- Ability to work collaboratively with technical teams and stakeholders effectively.
- Strong skills in creating architecture artefacts and aligning them with organizational standards.
- Familiarity with information governance processes and cyber security considerations.