Data Product Manager

Key Highlights

• Own the translation of raw alternative datasets into scalable, AIready data products.
• Design methodologies that answer high-value business questions, determining how disparate datasets should be combined, normalized, and interpreted.
• Partner closely with Data Engineering to shape source data pipelines into clean, well-structured datasets with clear definitions and documentation.
• Develop deep expertise in the strengths, limitations, biases, and coverage characteristics of key datasets and ensure those nuances are reflected in downstream outputs.
• Define how the product should use different datasets, including valid query patterns, edge cases, failure modes, and methodological guardrails.