Product Manager, Financial Data Products

Product Manager, Financial Data Products Fundamentals | Private Credit | Lakehouse | Data Products | AI Product Manager – Data Curation Platform London (hybrid) This is a data product ownership, lakehouse, data modelling, data governance, AI-led discovery role. Product Managers or Data Product Owners with significant experience owning versioned, SLA-bound financial datasets consumed by downstream products, APIs and clients. You will be tasked with owning what a data product is in a data curation platform organisation: schema, versioning, service levels, entity resolution, quality and coverage rules, and domain content. THE ROLE:

• Data product ownership: data contracts, SLAs, point-in-time, versioning, deprecation
• Lakehouse: Databricks, Snowflake, Iceberg, Delta Lake, Unity Catalog
• Data modelling: conceptual, logical, physical; joins, profiling, entity resolution
• Fundamental financial data: as-reported, standardised, restatements, fiscal periods, XBRL, identifiers, entity master
• Private credit data: loan-level, covenants, borrowers, facilities, sponsors, lenders, valuation marks
• Data governance as product: lineage, metadata, catalogue, access, data quality
• Discovery by prototype: SQL, Python, notebooks, AI-assisted tooling
• Data DevOps: CI/CD for data, testing, release Own the data product: definition, schema, versioning rules, service levels, quality and coverage rules, and consumption. Own the domain: how financial statement data is produced and consumed (Seat A), or how private credit data is sourced from documents and used (Seat B). Own discovery: prototype the dataset, query or view before engineering commits.