L&G's Asset Management business is a major investor across public and private markets worldwide, with $1.533 trillion in AUM.* Our clients include individual savers, pension scheme members and global institutions, who invest alongside L&G’s own balance sheet.
Our ambition is to be a leading global investor, innovating to solve complex challenges for our clients using the power of L&G. This is rooted in our investment philosophy and processes, which are focused on creating value over the long term.
We believe that incorporating financially material sustainability criteria, when relevant to our clients, can generate value and drive positive change.
The Data Analyst will play a key role in improving how data is managed and used across the organization. This includes driving the adoption of centralized Enterprise Data Masters—core platforms that serve as the single, trusted source for critical business data such as investment products, accounts, benchmarks, and securities. This individual will operate at the intersection of investments, data, and technology, partnering with stakeholders across Investment Operations, Front Office, Onboarding, and Compliance to translate business needs into scalable data solutions. The role requires a proactive, delivery-focused analyst who can lead strategic adoption initiatives (including eliminating reliance on legacy tools and improving data quality) while providing hands-on business support.
Key Responsibilities
- Drive adoption of Enterprise Data Masters by identifying gaps in usage, integration, and business requirements
- Map current processes, upstream data sources, and downstream consumers to define transition pathways to target-state architecture
- Lead initiatives to reduce reliance on fragmented and manual processes
- Define and document target-state processes leveraging centralized data platforms to improve scalability and control
- Support UAT, validation, and integration of new capabilities into BAU operations
- Act as the key interface between Data, Technology, and business teams to ensure solutions meet operational needs
- Facilitate stakeholder engagement through workshops, feedback sessions, and adoption tracking
- Provide hands-on BAU Data Operations support, including issue triage, stakeholder queries, benchmark onboarding (via JIRA) and vendor coordination
- Participate in incident reviews, root cause analysis, and implementation of preventative controls
- Maintain adoption tracking artifacts (e.g., he