# Director of Divisional Reporting and Predictive Analytics **Company**: London Stock Exchange Group (LSEG) **Location**: PHL-Taguig City-CitiPlaza **Experience**: executive **Job type**: full-time **Category**: Data Science **Industry**: Finance **Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/PHL-Taguig-City-CitiPlaza/Director--Divisional-Reporting---Data-Stewardship_R0123603?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_3b3a420f-4c7 ## Description 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 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. 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: - 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. - 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. - 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 controls by following relevant procedures, maintaining appropriate records, and implementing internal and external audit actions in a timely manner. Candidate Profile / Key Skills: - Strong interpersonal and written communication skills, with the ability to influence stakeholders across all organizational levels. - Demonstrable experience leading AI and machine learning professionals. - Strong understanding of Python programming concepts and leading practices, supported by solid SQL skills. - Extensive knowledge of MLOps approaches and their application in scalable analytics delivery. - Extensive experience applying cloud computing capabilities to data, analytics, or automation solutions. - Entrepreneurial mindset with the ability to interpret complex problem statements, gather relevant data, and propose practical, creative solutions. - Educated to degree level or able to demonstrate equivalent professional experience. ## Skills ### Required - Python - SQL - MLOps - cloud computing - machine learning - data analytics - automation ### Nice to have - experience in large investment banking or financial services organizations - familiarity with Refinitiv or LSEG processes and products - experience working with executives and/or C-suite stakeholders - experience working effectively with global, distributed teams --- Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/PHL-Taguig-City-CitiPlaza/Director--Divisional-Reporting---Data-Stewardship_R0123603?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)