Description
The Director of Broker Models will lead the strategy, build-out, and scaling of LSEG's business, driving business expansion, operational excellence, technology innovation, and customer value creation.
Key Responsibilities
Business Growth & Strategy
- Define and implement the long-term vision, strategy, and growth roadmap for the Broker Models business.
- Drive expansion of company coverage, broker participation, data depth, and product adoption.
- Identify new revenue opportunities and unlock market differentiation through innovative content and insights.
- Partner with Product, Sales, Customer Success, and Engineering to drive commercial success.
Business Transformation
- Lead end-to-end transformation of data collection, extraction, enrichment, and delivery processes.
- Leverage AI, automation, and modern technologies to scale operations and improve efficiency.
- Build scalable operating models capable of supporting rapid business growth.
- Drive continuous improvement across quality, timeliness, customer experience, and cost efficiency.
Product & Customer Leadership
- Translate customer needs into differentiated product capabilities.
- Ensure the Broker Models business delivers high-quality, trusted, and scalable content.
- Supervise competitive landscape and market trends to identify growth opportunities.
- Act as an inspiring leader and advocate for customers and business collaborators.
Organisation Building
- Build, lead, and develop high-performing global teams.
- Develop a culture of innovation, ownership, accountability, and experimentation.
- Attract and develop talent capable of operating in a high-growth environment.
- Lead cross-functional teams across Product, Engineering, Data Science, Operations, and Commercial organisations.
Qualifications & Experience
- 15+ years of leadership experience in financial data, market intelligence, research, analytics, information services, or related industries.
- Shown success in building, launching, and scaling new businesses, products, or data franchises.
- Proven experience leading large-scale business transformation and modernization programs.
- Experience driving growth through data, technology, AI, and automation.
- Strong commercial competence with ability to connect strategy to revenue and customer outcomes.
- Outstanding stakeholder management and executive interpersonal skills preferred.
- Experience with broker research, estimates, financial models, investment research, or capital markets data.
- Experience leading global, cross-functional organisations.
- Strong understanding of AI/ML-enabled data extraction and content operations.
- Experience leading P&L, business cases, investment decisions, and growth roadmaps.
Benefits
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives