Product Manager II - Taxonomy, Financial Data

Skills

About the Role

You'll join the Financial Data Team as a Product Manager specializing in Taxonomy. You'll take ownership of the structured financial data taxonomy library, including client-facing labels, metric definitions, and dataset classifications, while ensuring backwards compatibility and future-proofing. You'll define naming standards and governance principles that scale across a growing range of data types so clients can easily discover and understand the data. You'll work closely with engineering, data, product, sales, and client-facing teams to align on taxonomy decisions and turn conceptual frameworks into scalable, production-ready systems. As the internal subject matter expert on data semantics, you'll maintain clear documentation for internal and external audiences. You'll proactively spot gaps and inconsistencies as new datasets are onboarded and drive structured resolution. You'll also design taxonomy and data structures with AI and LLM compatibility in mind, and lay the groundwork for a future taxonomy practice that can grow into a larger team.

Requirements

• Bachelor's degree in a highly analytical field such as Engineering, Computer Science, Business, or a related discipline
• 5+ years of experience working with data structures, taxonomy, or data governance
• At least 2 years in a product management or closely adjacent cross-functional role
• Genuine interest in financial data and capital markets
• Proven analytical mindset with ability to translate complex, ambiguous data challenges into structured frameworks and scalable solutions
• Hands-on experience leveraging AI and LLM tools as an internal practitioner
• Strong organizational skills and attention to detail with ability to manage multiple workstreams independently
• Proficiency in data management tools such as SQL and Python

Responsibilities

• Own and evolve the structured financial data taxonomy library, including client-facing labels, metric definitions, and dataset classifications
• Ensure backwards compatibility and future proofing of taxonomy systems
• Define label conventions and governance principles across a growing range of data types
• Collaborate cross-functionally with engineering, data, product, sales, and client-facing teams to align stakeholders on taxonomy decisions
• Translate conceptual frameworks into scalable, production-ready systems
• Serve as the internal subject matter expert on data semantics
• Develop and maintain official internal and external documentation of taxonomy standards
• Identify gaps and inconsistencies as new datasets are onboarded and drive structured resolution
• Design and maintain taxonomy and data structures with AI and LLM compatibility as a core consideration
• Build repeatable frameworks to lay the foundation for a future taxonomy practice

Benefits

• Remote work flexibility with an optional office in New York City
• Learning stipend
• Lunch and learns and guest speakers
• Ongoing feedback, career development, and weekly 1-on-1s
• Remote work equipment provided
• Performance-based bonus and equity