Join us as an Enterprise Architect, Data Science & AI

• Join a team that is shaping the future of the bank’s data science and AI architecture and governance, where you’ll be recognised as an expert of architecture for data science and AI solutions and enterprise design influencing business and technology teams
• 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 offering this role at vice president level

What you'll do

We’re embarking on a new and exciting phase of the bank’s transformation agenda and data architecture operation is at the heart of our mission to simplify, reduce risk and enable customer engagement and personalisation. This agenda is critical to driving simplification and delivering exceptional experience to our customers.

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 also be making sure that the architecture links to, and is informed by, our overall strategy and architecture, and produces the architecture outcomes.

We’ll look to you to influence the development of business strategies at an organisational level, identifying transformational opportunities for our businesses and technology areas associated with both new and existing technologies. We’ll also look to you to act as the data architecture point of contact for the franchise and functions assigned to your engagement scope.

As well as this, you’ll:

• Provide data architecture advisory to solutions and domain teams and drive adoption and act as a subject matter expert in architecture for data science and AI solutions for the bank
• Identify gaps in data architecture culture and skills across your areas of management and support plans to resolve and providing mentorship where necessary
• Translate architecture roadmaps into packages of work that allow frequent incremental delivery of value to be included in product backlog
• Stay abreast of the commercial and emerging data technology offerings that may influence current and target Data Science and AI architectures and their governance
• Define, create and maintain architecture models, roadmaps, standards and outcomes, using architecture strategies to ensure alignment to adjacent and higher level model
• Stay abreast of the current state of Data Science and AI technology and architecture trends, as well as data architecture tools, patterns and trends for Data Science and AI

The skills you'll need

You’ll bring expert knowledge of enterprise data architecture, solution data architecture, architecture for data science and AI with knowledge of industry architecture frameworks such as TOGAF or ArchiMate. 

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 with experience of working in an Agile team.

You’ll also have:

• Experience of developing, syndicating and communicating architectures, designs and proposals for action
• Experience of working with business solution vendors, technology vendors and products within the market
• Experience as an enterprise architect with focus on architecture advisory along with experience in AI or ML and Data Science
• Strong collaboration and stakeholder management skills coupled with strong problem solving skills
• Knowledge of MLOps and automation, cloud architecture and DevOps
• Knowledge of data, architecture frameworks such as DAMA, DCAM, TOGAF, ArchiMate, along with knowledge of data related regulations such as GDPR, CCPA,PCI DSS, BCBS 239
• Strong knowledge of wider data and architecture topics such business architecture, data governance, data quality management, master data management and data controls management
• Architecture knowledge of Tableau, AWS data services stack, SageMaker, Python, EMR or Spark, Kafka and Snowflake

Hours

Job Posting Closing Date: