About this role

Owning metrics publishing quality and standards across data teams, ensuring datasets reliably power dashboards and client feeds
Partnering cross-functionally with Data, Engineering, and Product to define requirements, prioritize improvements, and drive adoption of best practices
Improving and scaling data platform workflows, from ingestion through transformation to delivery, enabling internal productivity and client value
Leveraging AI tools to enhance workflows, automate processes, and improve data quality and efficiency

Have 2–4 years of experience in product management, analytics, data, or a related field.
Have strong data fluency, including SQL and familiarity with modern data platforms (eg Databricks), pipelines, and PySpark.
Have experience working cross-functionally with engineering or data teams and/or an understanding of the product development lifecycle (e.g., agile practices)
Enjoy solving ambiguous problems and building structure where none exists
Care deeply about data quality, consistency, and scalability
Are comfortable and have familiarity with AI tools (e.g., LLMs, prompt engineering, workflow automation) as productivity enhancers.
Have strong analytical, communication, and collaboration skills.
Are curious, adaptable, and eager to learn.

Product Associate

Key skills