Lead Enterprise Architect

4 weeks ago


London, United Kingdom NatWest Group Full time

Join us as an Enterprise Architect Lead, Data Science & AI
Join a team that is shaping the future of the bank’s data science and AI architecture and governance and help us unlock the full potential of our data.
You'll be defining the intentional architecture for your assigned scope in order to ensure that the current architecture being delivered by engineers best supports the enterprise and its long-term strategy.
With valuable exposure, you’ll be building and leveraging relationships with colleagues across the bank to ensure commercially focused decisions and to create long-term value for the bank.
We’re embarking on a new and exciting phase of the bank’s transformation agenda, where data science and AI architecture play a crucial role in achieving our mission to simplify, reduce risk, and enable customer engagement and personalisation. Supporting the development of architectures and roadmaps of innovative data solutions, leveraging data science and AI, is critical to driving simplification, improving data efficiency, and ensuring data risk stays within tolerance.
In this key role, you’ll be defining and communicating the current, resultant, and target state architecture for your enterprise solutions using data science & AI. You’ll manage and mentor a team of specialist and senior data architects dedicated to supporting architectures for solutions using data science and AI, fostering a collaborative, high-performance culture that encourages innovation.
Lead complex and technically challenging architectural transformations, coordinating design and platform teams across domains.
Stay abreast of the commercial and emerging data technology offerings that may influence current and target Data Science and AI architectures and their governance.
We’re looking for someone with a background in defining business and application architectures and roadmaps for data science and AI-based solutions. You’ll bring expert knowledge of enterprise data architecture, solution data architecture, and architecture for data science and AI, along with knowledge of industry architecture frameworks such as TOGAF or ArchiMate.
In addition, you’ll be a thought leader of architecture for data science and AI solutions and enterprise design in the bank, influencing business and technology teams. You’ll have excellent communication skills with the ability to clearly communicate complex technical concepts to colleagues up to senior leadership level, along with a good understanding of Agile methodologies and experience of working in an Agile team.
Experience as an enterprise architect with a focus on architecture advisory, along with experience in AI or ML and Data Science solutions and patterns.
Experience with developing data exploration, visualisation, and statistical analysis technologies.
An understanding of neural networking, deep learning, and LLM architectures.
Knowledge of Data Science lifecycle, MLOps, model management, and automation.
Knowledge of data architecture frameworks such as DAMA and DCAM, as well as data-related regulations such as GDPR, CCPA, PCI DSS, and BCBS 239.
Architecture knowledge of Tableau, AWS data stack, SageMaker, Python, EMR or Spark, Kafka, and Snowflake.
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