IT & Software

Senior Data Architect

King's College London

London · Greater London · United Kingdom

Overview

In this role, you will shape King’s data and AI capabilities at enterprise scale, translating strategy into target architectures and roadmaps. You’ll define governance, data products, and patterns for data & AI, enabling trusted data and responsible AI use across the University. You will collaborate with senior stakeholders to align data architecture with Strategy 2030 and agile delivery. This is an opportunity to influence how AI-ready data supports digital services and AI initiatives at scale.

Responsibilities
  • Provide enterprise-level strategic direction for Data and AI architecture
  • Translate strategic priorities into target architectures, capabilities and roadmaps
  • Define data architecture standards, patterns and governance for data and AI
  • Ensure alignment of Data and AI investments with university needs and Agile/SAFe practices
  • Shape data preparation, access, governance for AI use and capture/manage AI-generated information
  • Collaborate with Data Owners/Stewards, governance, delivery teams and external suppliers
  • Communicate complex Data and AI decisions in business terms and provide advisory assurances
Key requirements
  • Bachelor’s degree in Computer Science, Data Engineering, Computer Engineering, Software Engineering, Data Science, Information Systems or related discipline with substantial architecture experience
  • Strong experience translating strategy into enterprise Data and AI capabilities and roadmaps
  • Extensive knowledge of modern enterprise Data Architecture (data models, data products, Data Mesh/Data Fabric, cloud platforms, integration, storage, master data, interoperability)
  • Strong governance expertise covering ownership, quality, metadata, lineage, privacy, security and lifecycle, including AI data
  • Experience shaping data for AI use and managing AI-generated information
  • Knowledge of modern AI technologies (LLMs, Generative AI, RAG, semantic/vector, MCP) and related integration
  • Portfolio & Agile alignment with SAFe or equivalent frameworks
  • Excellent communication and stakeholder engagement with senior teams and external suppliers
  • Excellent communication and influencing skills
  • Stakeholder management
  • Strategic thinking and business acumen
  • LLMs and Generative AI
  • RAG and semantic/vector capabilities
  • Model Context Protocol (MCP)

Reference: WJ-747_30184762

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