Data Architect

Perspective: Strategy & Process

• 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.

Perspective: Finance

• Ensure strategic data and AI decisions balance long term sustainability with cost effectiveness.
• Evaluate data platform and AI investments, ensuring alignment to architectural direction and maximum return on investment.
• Support financial and business analytics functions with accurate, well governed data structures and processes.
• Track and optimise the cost of storage, compute, and data movement across environments.

Perspective: Client Services / Stakeholder Engagement

• • Influence, guide, and educate business stakeholders on data platform capabilities, AI opportunities, appropriate usage, and data-driven decision making.
  • Act as the key advisor on data and AI implications of business initiatives, ensuring alignment with architectural principles and data governance requirements.
  • Promote and embed a culture of responsible data usage and ownership across the business.
  • Translate complex data and AI architecture concepts into clear, business-friendly language.
  • Provide consultation and training to teams to uplift data and AI literacy and capability.

Perspective: People

• Foster an environment of cross-functional collaboration and shared accountability for data assets.
• Mentor and support team members involved in data and AI engineering, analytics, and data management.
• Promote continuous learning and professional development related to modern data and AI practices, tools, and frameworks.
• Encourage knowledge sharing to uplift organisational data and AI capability maturity.

• Knowledge / Skills / Attributes
• Strong analytical, conceptual, and data modelling skills
• Strategic thinker with the ability to translate business goals into architectural direction
• Excellent communication, stakeholder management, and influencing skills
• Adaptability and resilience in rapidly changing environments
• Solid project management skills and the ability to track and oversee multiple initiatives
• Passion for data and AI enablement, education, and capability uplift
• AI/ML architecture knowledge
• Ability to convert AI concepts into business value
• Integration of AI into enterprise data architecture
• Collaboration with data scientists/engineering for AI-enabled delivery