About The Position

LGC is an international life sciences tools company providing reference materials, genomics solutions, and analytical testing products and services. The Senior Data & AI Architect will help shape LGC’s data and AI landscape by building platforms, capabilities, and foundations that support the organisation’s future. The role combines hands-on technical expertise with strategic thinking to influence how data and AI are used across the global organisation. The architect will design and deliver enterprise-wide data architecture strategies, create scalable and secure solutions across cloud and on-premises environments, and develop AI and machine learning solutions to address business challenges. The role also focuses on improving infrastructure, establishing governance and compliance frameworks, partnering with stakeholders to turn requirements into practical solutions, exploring emerging technologies, and mentoring technical colleagues. LGC describes its values as Passion, Curiosity, Integrity, Brilliance, and Respect, and states its commitment to an inclusive work environment and equal opportunity without discrimination.

Requirements

  • Significant experience in data architecture, data engineering, or enterprise technology architecture, including leading large-scale initiatives.
  • Strong experience designing data platforms using AWS, Azure, or Google Cloud.
  • Expertise in data modelling, SQL, NoSQL, and modern database technologies.
  • Experience with big data technologies such as Apache Spark, Hadoop, or distributed computing frameworks.
  • Programming knowledge in Python, Scala, Java, or similar languages.
  • Experience architecting AI and machine learning solutions, including deploying models into production.
  • Understanding of data governance, security, quality, and compliance.
  • Strong problem-solving skills and ability to communicate technical ideas clearly to a wide range of stakeholders.

Responsibilities

  • Design and deliver enterprise-wide data architecture strategies that support business ambitions.
  • Architect scalable, secure, and high-performing data solutions across cloud and on-premises environments.
  • Design AI and machine learning solutions that address business challenges and deliver measurable value.
  • Improve existing infrastructure, optimise performance, and identify opportunities to increase efficiency.
  • Establish data governance, quality, security, and compliance frameworks.
  • Partner with business leaders, engineers, and data scientists to translate complex requirements into practical solutions.
  • Explore emerging technologies, challenge existing approaches, and help teams stay current.
  • Mentor technical colleagues and foster collaboration, learning, and innovation.
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