Senior Data Architect

We are seeking an experienced Senior Data Architect to lead the design and delivery of modern data architecture solutions for a large‑scale transformation programme. This role involves shaping data strategy, ensuring best practices, and enabling secure, scalable, and interoperable data solutions across complex systems, with a strong focus on AI integration, healthcare data standards, and data transformation initiatives.

• Translate business needs into robust data architecture solutions aligned with organisational priorities and emerging technologies.
• Provide technical leadership and guidance to other data architects, supporting the development of data dictionaries, governance standards, and reusable patterns.
• Champion data standards in healthcare, ensuring compliance and interoperability across systems.
• Collaborate with technical architects and engineering teams to embed data principles into cloud‑native and hybrid system designs.
• Advocate for data as a strategic asset, promoting approaches such as data‑as‑a‑product and enabling secure, lawful, and trusted data sharing.
• Design and evolve modern data models and metadata frameworks that enable interoperability, scalability, and ethical data sharing across platforms.
• Drive data transformation initiatives and support the integration of AI‑driven solutions into data architecture. Opportunity to influence data strategy at scale.
• Work on high‑impact healthcare and AI‑driven transformation projects.
• Flexible working arrangements.
• Healthcare data standards and experience with healthcare data transformation projects.
• Strong understanding of AI technologies and their application in data architecture.
• Communication skills (data):
  Ability to manage stakeholder expectations and facilitate complex discussions.
• Data analysis and synthesis:
  Skilled in profiling, source system analysis, and presenting insights.
• Data governance:
  Experience defining and evolving governance frameworks and assuring data services.
• Data modelling:
  Strong understanding of concepts, principles, and industry standards; ability to produce and align models across multiple subject areas.
• Metadata management:
  Ability to design and manage metadata repositories and advise on tools and processes.
• Strategic thinking:
  Communicate how activities align with strategic goals and deliver value.
• Problem resolution:
  Coordinate teams to resolve data‑related issues and implement preventative measures.