The Director of Divisional Reporting and Predictive Analytics will partner with divisional stakeholders to build, maintain, and scale product-focused metrics and dashboards that improve operational transparency, decision-making, and performance management.
This role will own the predictive analytics technology roadmap and operating model for LSEG Operations, working closely with Engineering, Operations, and Product Management to design forward-looking predictive and generative analytics solutions. The role will also evaluate Operations data sets and recommend enhancements to improve data quality, completeness, and interoperability in support of scalable analytics use cases.
The role will lead our divisional reporting teams supporting Risk Intelligence, FTSE and Markets as well as a small, highly skilled team across predictive analytics, machine learning, database development, automation, and front-end application engineering. The team will be expected to continuously build expertise in emerging technology, industry practices, financial content, and LSEG business processes.
Key areas of focus for the role include:
Divisional Engagement: Build trusted partnerships with divisional leadership teams, product managers, and embedded Operations and Engineering delivery teams.
Data, Technology & Practices: Develop multiyear investment strategies, technology and data roadmaps, and ways of working that enable agile proof-of-concept testing and seamless transition of successful pilots to LSEG Engineering for build and deployment.
Culture Building: Partner with LSEG leaders and Operations Academy to build the knowledge, awareness, and organizational capabilities required to enable innovation at scale.
Leadership: Lead predictive analytics, automation, and data visualization specialists, ensuring deep expertise, rapid delivery, and measurable business outcomes.
Key Responsibilities
Technology & Practices
Continually assess the applicability of emerging technologies, models, and ways of working for LSEG Operations.
Drive investment planning for the Operations Metrics Office’s multiyear predictive analytics, tooling, and data modelling capabilities.
Lead the design and development of proof-of-concept capabilities powered by AI and machine learning models.
Secure access to new data sources for LSEG Operations in anticipation of future organizational and customer requirements.
Culture Building
Create an Operations culture of innovation by facilitating pilot programs that support strategic focus areas and remove perceived barriers to execution.
Drive team development to improve efficiency, strengthen delivery capability, and expand Operations expertise.
Sponsor Operations Academy communities of practice for AI/ML and other emerging technologies and ways of working.
Collaborate with Engineering and Product Management to influence technology roadmaps and align delivery with operational priorities.
Leadership
Directly lead a team of AI, machine learning, automation, and visualization professionals, maintaining high standards for delivery, adoption of industry-leading practices, and realization of business outcomes.
Key Capabilities
Demonstrate deep subject matter expertise and the ability to influence organizational thinking.
Conceptualize and address highly complex, enterprise-wide business challenges across LSEG.
Develop and implement strategy for LSEG Operations, with clear linkage to measurable business outcomes.
Understand and apply industry-leading practices for LSEG Operations, driving adoption where required to improve performance and resilience.
Communicate highly technical concepts clearly to non-technical business and executive stakeholders.
Develop creative insights and correlation studies that support executive planning, performance management, and management reporting.
Foster and maintain collaborative working relationships with stakeholders across all levels of LSEG.
Observation of Internal Controls
Demonstrate adherence to internal…