Senior Manager Product Tooling & Data

Role Overview: As a Senior Manager Product Tooling & Data (Data Focused) in the Group Investment Management (GIM) Team at London Stock Exchange Group (LSEG), your primary responsibility will be to interpret and utilize data science and analytics to support the team in predicting and managing programme execution risks. Your role will involve developing machine learning models and early warning indicators to identify and mitigate delivery risks across a multi-million-pound change portfolio. By transforming complex programme data into predictive insights, you will drive strategic investment decisions and contribute to fostering a culture of delivery excellence and transparency within the organization. Key Responsibilities: - Lead the design and implementation of machine learning models to predict programme delivery risks and financial overruns. - Integrate insights into existing dashboards and visualizations to effectively communicate with senior leadership and ensure actionable and trackable risk metrics. - Collaborate with senior stakeholders to understand data needs and translate them into technical solutions. - Conduct data cleaning, preprocessing, and integration from multiple sources, including internal databases and APIs. - Contribute to the development of Group-wide delivery framework and assurance standards. - Stay updated with advancements in AI/ML and apply them to enhance risk prediction and decision-making. - Support the annual investment planning process through data-driven analysis and scenario planning. Qualifications Required: - Proficiency in Python or R, with experience in libraries such as scikit-learn, TensorFlow, or similar. - Experience in LLM prompt engineering for feature extraction from unstructured data. - Strong SQL and data wrangling skills, including experience with ETL processes. - Solid understanding of statistical analysis and hypothesis testing. - Experience in building and deploying machine learning models in a business context. - Ability to communicate technical insights to non-technical audiences using visualization tools like Tableau and matplotlib. - Familiarity with fine-tuning small LLM models for automating topic extraction from unstructured data. - Knowledge of cloud platforms, especially AWS Bedrock and Snowflake data platform. - Experience with enterprise programme management tools like Clarity, Asana, and JIRA. - Familiarity with SAP ERP and Workday systems data. - Experience in financial services or programme delivery environments. - Strong communication and collaboration skills. - Self-starter with the ability to manage multiple priorities in a fast-paced environment. - Commitment to continuous learning and innovation. [Note: Additional details about the company's values and purpose have been omitted from the Job Description as they are not directly related to the role.] ,