
Product Transformation Manager, Data Platforms
- London
- Permanent
- Full-time
- Direct the transformation of data platforms that underpin global financial markets
- Engage with a diverse range of users and data, from equity datasets to fixed income, crypto, ESG, and more through S&P Global Enterprise Working Groups
- Gain visibility into the high bar of technical demands for index calculation and rebalancing, where accuracy is paramount
- Gain experience with industry-leading data platforms as part of modernisation initiatives across the organisation
- Product Management: Direct major transformation initiatives on our Data Platforms from conceptualisation to production release
- Data Analysis and Research: Conduct comprehensive analysis on our data on a project and ad hoc basis, producing findings which inform solution and process design
- Project Planning: Translate the Data Strategy into implementable features, planning realistically for team capacity, priorities, and release targets
- Cross-Team Coordination: Partner with Index Management, Data, Technology, and Compliance to ensure data needs are met across functions. Take a leading role in ensuring clear communication and building positive relationships across teams
- Documentation: Coordinate with agile team members (such as the Product Owner, Scrum Master, and Business Analysts) to ensure requirements accurately reflect progression towards strategic goals
- 5 - 7 years of experience in data management, product ownership, programme management, or related roles in a data-centric environment is mandatory
- Experience in Financial Services (either through industry experience or progression along certification such as CFA) is mandatory; experience with indices is beneficial
- Proficiency in Python for automation and data analytics is mandatory; familiarity with Python-related programming languages (e.g. Pyspark, Polars) is beneficial
- Proficiency in SQL for data extraction, transformation, and manipulation is beneficial
- Experience with data lakehouse paradigms (e.g. Databricks, Snowflake, implementations from major cloud providers) is beneficial
- Exposure to structured and unstructured data storage solutions in some capacity (e.g. SQL, Postgres, MongoDB, AWS S3) is beneficial
- Experience working in an agile setting is beneficial
- Strong attention to detail and clarity of requirements for technical development
- Ability to document and communicate clearly across technical and business audiences
- Prior experience working in global teams with colleagues from a wide range of backgrounds
Posted On: 2025-08-01
Location: London, United Kingdom