Overview

Join to apply for the Group Director Artificial intelligence role at LSEG.

LSEG (London Stock Exchange Group) is a diversified global financial markets infrastructure and data business with a long history of supporting financial stability and growth worldwide. The Group operates across multiple divisions and has significant global reach with headquarters in London and operations in 70 countries. LSEG’s core values are integrity, partnership, excellence, and change.

LSEG has shifted from integration to transformation and is a proven innovator, including a market-leading partnership with Microsoft enabling next-gen data, analytics, and cloud infrastructure solutions.

As part of the AI@LSEG Centre of Excellence, this role sits in a strategic leadership trajectory focused on defining LSEG’s approach to AI and its role in the company’s future success. The role partners with global leaders to scope and deliver a robust group-wide AI strategy for both internal and external customers.

Role Profile

Reporting to the Group Leader of AI, you will have the opportunity to shape LSEG’s AI strategy and lead initiatives across the organization. You will work with global stakeholders to understand current skillsets, requirements and opportunities, and present a planned approach to ExCo to gain buy-in from multiple regions.

Key Responsibilities and Accountabilities

• Partner with product leadership across Data and Analytics, Markets, FTSE Russell and Risk Intelligence to identify and evaluate commercial opportunities and competitive positioning.
• Collaborate with Sales & Account Management, Operations, Engineering and enabling functions to ensure AI is embedded in plans and investment priorities.
• Support product design and delivery of innovative AI product solutions with product and engineering teams; ensure end-to-end product design, accountability and maintenance for AI CoE-owned products.
• Provide thought-leadership on AI for the Group and ensure divisions are kept up to date with latest AI innovations and capabilities.
• Support governance, including potential new vendors, partnerships, and/or acquisitions; shape group-wide AI governance framework and policy, and align with Legal, Risk, Compliance and GSSR requirements.
• Ensure external products support customer communities and internal products enhance operational efficiency and customer experience.

Skills & Competencies

• Strong grasp of machine learning, LLMs, knowledge graphs, predictive analytics and their real-world applications in financial services. Degree in computer science, mathematics, economics or finance; advanced degree in data science, AI/ML or financial engineering preferred.
• Working knowledge of AI governance, model validation, explainability and bias mitigation.
• Understanding of data architectures, data pipelines, and interoperability standards (e.g., MCP).
• Ability to decide when to build proprietary AI products, leverage open-source, or partner with model providers.
• Financial services domain knowledge across the investment lifecycle and where AI adds value.
• Ability to articulate clear technical product requirements aligned to product lifecycle management.
• Ability to work with senior leadership, policymakers and external clients, explaining complex AI topics credibly and accessibly.
• Experience leading cross-functional teams of engineers, data scientists, risk/compliance and commercial colleagues toward shared product outcomes.

Measures of success

• Commercial Impact: revenue growth from AI-enabled products, improved CX/NPS, cost improvements via AI/automation and process improvements, AI project ROI, and AI adoption rates across products and workflows.
• Organisational impact / Governance & Risk: cultural adoption of AI, talent redeployment, AI impact assessments, AI literacy/upskilling, ethical AI compliance and bias/fairness audits.

Additional information

Join us to be part of a team that values innovation, quality, and continuous improvement. LSEG is an equal opportunities employer and values diversity. We offer tailored benefits including healthcare, retirement planning, volunteering days and wellbeing initiatives. A privacy notice explains how personal information is processed; for recruitment agencies, candidates must be informed of this notice.