LSEG (London Stock Exchange Group) financial data and analytics platform. Work focused on designing two core systems: (1) a customer-facing real-time monitoring and alerts dashboard spanning multiple LSEG products and services, and (2) an internal data rights management platform enabling compliant financial data product creation and distribution, developed in collaboration with Microsoft.
Role: Senior Product Designer leading design across both systems. Responsibilities included service design, systems design (architecture), UX design, design system contribution, stakeholder alignment across teams, and mentoring a junior designer. Worked across multiple squads and coordinated component releases with the central design system team.
Project 1: Monitoring and Alerts Dashboard (Customer-Facing)
Context: LSEG provides financial data infrastructure used by institutions to monitor services, usage, and system health across a complex product ecosystem.
Problem: Monitoring experience had not evolved alongside platform growth. Alerts, service health data, and usage metrics were fragmented across multiple tools and product areas. Users lacked a centralised interface to view critical information, resulting in slow issue identification and inefficient workflows.
Approach: Designed a unified dashboard framework to centralise monitoring. Key decisions included introducing a clear alert hierarchy, improving information architecture, and creating a modular, widget-based system adaptable across products. Focused on surfacing critical alerts faster and reducing cognitive load. Explored future-facing capabilities including AI-assisted alert summaries and automated notification generation.
Solution: Consolidated alerts, service health, and usage data into a single, scalable dashboard. Designed reusable components and flexible layouts to support multiple user needs and product contexts.
Outcome: Modernised the primary monitoring dashboard used across the LSEG platform. Reduced time to locate critical alerts by approximately 4x (needs confirmation if measured). Established a scalable monitoring framework for future product expansion. Enabled foundation for AI-driven alerting and notification workflows.
Project 2: Data Rights Management Platform (Internal)
Context: Platform used within LSEG to create and manage compliant financial data products for distribution. Built in collaboration with Microsoft.
Problem: Data product creation workflows were fragmented across multiple tools and teams, leading to inefficiencies, duplication, and long production timelines. No unified system for managing rights, segmentation, and product assembly.
Approach: Conducted discovery including process mapping, persona definition, and end-to-end journey mapping across multiple roles. Designed system architecture to unify workflows. Led design across two engineering squads and collaborated with additional designers.
Solution: Designed a unified platform structured around three core modules: (1) rights management for onboarding datasets and applying rules, (2) segmentation for grouping datasets, and (3) product creation for assembling final data products.
Outcome: Unified workflows previously spread across approximately five siloed tools. Reduced time required to create financial data products from months to weeks. Established a scalable system for managing data rights and product creation across the organisation.
AI Work: Designed and prototyped early AI-driven interaction patterns within LSEG, including an AI notification generator to automate alert creation and AI-assisted summaries for monitoring workflows. This work represented an early exploration of AI UX within the organisation.
Additional: Mentored a junior designer through structured weekly sessions and ongoing design reviews. Contributed to design system evolution and cross-team alignment. Work involved high complexity, multiple stakeholders, and enterprise-scale systems.