Senior Data & AI Architect

Benefits

Additional Information

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions. Through telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent. We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role. The role ensures that Data & AI architecture aligns with business strategy, regulatory obligations and technology standards, supporting data integration, analytics and advanced use cases such as Machine Learning and Agentic AI. The Data & AI Architect will act as a technical leader, shaping architectural direction and supporting delivery teams to design solutions that are scalable, secure and fit for purpose within a Financial Services environment. Main Responsibilities - Define and maintain enterprise, domain and solution-level data architecture aligned to business and technology strategies. - Design logical and physical data models that support operational, analytical and AI use cases. - Establish and maintain architecture standards, principles, patterns and reference architectures. - Provide architectural oversight and guidance to delivery teams, ensuring designs are consistent with agreed standards and regulatory expectations. - Collaborate with business, data, analytics, security and engineering stakeholders to translate requirements into robust solutions. - Contribute to architectural roadmaps and investment planning, balancing short-term delivery with long-term sustainability. - Review and assure designs to ensure security, resilience, performance and regulatory compliance, particularly within the Financial Services sector. - Mentor colleagues and promote good data & AI architecture practices across teams. Key Knowledge, Skills and Experience - Strong knowledge of core data architecture concepts, including data modelling, data platforms and information management. - Understanding of the evolving architecture stack for Agentic AI. - Real world experience of grounding AI solutions in corporate data (structured/unstructured). - Experience designing data solutions that support analytics, reporting and Machine Learning workloads. - Understanding of data governance, data quality, metadata management and data lineage. - Experience working within the Financial Services sector, with awareness of regulatory and risk considerations affecting data design. - Ability to communicate complex architectural concepts clearly to both technical and non-technical audiences. Essential Skills - Data modelling (conceptual, logical and physical). - Data integration and information flow design. - Architecture standards, principles and design assurance. - Stakeholder engagement and technical leadership. - Problem solving and structured thinking.

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