NatWest Group
Source & Connect
Source & Connect
Akkodis
Adecco
ZipRecruiter
Capgemini
Hitachi Vantara Corporation
Sanderson Government & Defence
A financial services organization is seeking a Lead Data Architect for their Fraud Prevention Centre of Excellence. You will be responsible for guiding complex data architectures, promoting architectural standards, and driving a DevOps mindset within the organization. The ideal candidate has extensive experience in data transformation and stakeholder engagement, with a strong focus on emerging technologies and best practices.
Join us as a Lead Data Architect, Fraud Prevention Centre of Excellence
As a Lead Data Architect, you’ll be leading the definition of the strategic target architecture and roadmap, assuring it’s aligned with the strategy and the bank’s strategic target architecture. You’ll also be promoting and driving the adoption of the shared capabilities available by creating playbooks, educating stakeholders, and collaborating with peers on identifying use cases for adoption.
Your other key responsibilities will include:
To make an impact with us, you’ll need expert knowledge in an area of specialism, including a deep understanding of business use cases and emerging trends that drive organisational success. You’ll also need expert knowledge of modern technologies such as Cloud, microservices and AI, along with agile architecture and DevOps practices.
You’ll bring extensive experience of overseeing and assuring the quality of architecture designs, including conducting comprehensive architecture and design reviews to validate that solutions meet business needs and comply with architecture standards, with a focus on risk management and governance.
Furthermore, you’ll need:
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.