Data Architect

About

Description

The Data Architect is responsible for shaping and driving the organisation’s data strategy through the design, oversight, and enhancement of the enterprise data architecture. This role ensures all data initiatives, platforms, and models align with the Group’s broader data framework and strategic direction.* The Data Architect plays a key role in translating business strategy into practical, scalable data capabilities. This includes influencing and educating stakeholders on data platforms, best practice usage, and the value of data-driven decision-making. The position oversees the implementation and monitoring of data-related work and projects to ensure adherence to architectural standards, governance practices, and long-term data capability maturity.

Responsibilities

• Lead the development, evolution, and socialisation of the organisation’s data and AI architecture in alignment with the Group’s data strategy and enterprise data framework.
• Provide strategic input on how data and AI capabilities, platforms, and processes should evolve to support business strategy.
• Translate strategic objectives into tactical implementation plans for data and AI projects and data platform enhancements.
• Design, refine, and govern enterprise data and AI models, flows, and integration patterns that ensure consistency, scalability, and interoperability.
• Monitor and evaluate execution of data and AI related projects to ensure adherence to standards, architectural principles, and business value outcomes.
• Establish and maintain data and AI architecture standards, reference architectures, design patterns, and documentation.
• Identify opportunities to optimise data availability, data quality, and data usage across the organisation.
• Partner closely with data engineering, AI and BI teams to ensure smooth implementation of data solutions.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field
• Advantageous: Certifications in data architecture, data management, cloud platforms, data analytics, machine learning, applied AI or enterprise architecture
• 5–7 years’ experience in data architecture, data modelling, data analytics, machine learning, applied AI or enterprise data management.

Application instructions:

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