Bradley Smith Email & Phone Number

• Directly responsible for multiple engineering teams including Data Science and Machine Learning, Data Products, and Event Engineering.• Manages several Technical Leads, each overseeing their own respective teams of engineers. These teams build customer-facing operational use cases and backend analytical use cases enabling over 15 business areas including Personalisation, Vehicle Asset Finance, and Measurement through data products, data science models, and real-time pipelines. • Responsible for handling budget and spend for the engineering portfolio, including resource hires, 3rd party contractual agreements, software licensing agreements, and hardware expenditure.• Drives the adoption of data engineering and cloud engineering tools, technologies, and strategies aligned with enterprise architecture. • Manages business stakeholder engagements, workload prioritisation, and relationship management (both internal and external).• Cultural Initiatives | Group Data and Analytics | Volunteered Timeo Internal Internship Coordinator – Mentoring and modernising junior engineering o Co-Chairperson – Data and Analytics’ Diversity, Equality, Inclusion, and Belonging Committee o Communications Officer – Social Committeeo Risk Coordinator – Risk and Compliance Committee

Currently serving as the primary point person introducing GenAI (OpenAI GPTs, Microsoft Copilot, and AWS CodeWhisperer) to the broader organisation through a variety of channels, including showcases, executive presentations, technical demonstrations, and masterclasses.

• Drove the Data and Analytics' cloud journey by prioritising delivery and technology across 11 platform teams in addition to existing responsibilities as the Personalisation Technical Lead.• Identified use cases from various business areas, aligning them with Group enterprise architecture for cloud migration.• Consulted on cloud migrations utilising the “Five R’s” of application modernisation.• Provided strategic and tactical input for multiple cloud technologies across multiple hyperscalers.

• Led the data engineering team responsible for building a reusable, scalable, cloud-based decisioning and conversation engine responsible for delivering real-time, A/B tested marketing campaigns to customers for Personal and Private Banking (PPB).• Removed the requirement for a third-party vendor who was originally responsible for delivering Personalisation solutions, resulting in a considerable cost saving for PPB for 2020 onwards.• Introduced standardised DevOps protocols aligned with AWS’ Well-Architected Framework including Continuous Integration / Continuous Deployment (CICD) pipelines, security standards, and observability for systems, applications, and data.

Responsible for the delivery of a real-time data analytics capability for Standard Bank, providing both the platform and a centralized team; utilizing technologies such as Kafka, containerization, Anonymous Functions, and APIs.• Aligned business needs with real-time technical capabilities to deliver value across the bank.• Enabled real-time streaming and micro-batching for diverse domains including Card, Payments, and Cyber Security.• Operationalised Event Driven Architecture and Complex Event Processing for the organisation using Kafka.

• Aligned the Group Hadoop data platform with Site Reliability Engineering (SRE) principals.• Trained and upskilled the team of SysOps engineers and system administrators required to support the platform.• Implemented the Group Data Science Workbench to enable the business organisations’ data science communities.• Consulted with Liberty under Standard Bank's aegis on solution design and security implementation.

• Guided the design and implementation of the Group-wide Hadoop ecosystem.• The implementation included security, auditing, reporting and compliance aligned with the Bank’s governance, regulatory, and risk bodies.• Enabled and supported multiple data engineering and data science communities.

Bachelor Of Information Science Honours

Bachelor Of Information Science