Product Manager II - Taxonomy, Financial Data

AlphaSense is a leading market intelligence platform relied upon by sophisticated companies to remove uncertainty from decision-making. They are seeking a Product Manager specializing in Taxonomy to own and evolve their financial data taxonomy library, ensuring alignment across various teams and driving the development of scalable solutions.

Responsibilities:

• Drive ownership - Own and evolve the existing structured financial data taxonomy library at AlphaSense, inclusive of all client-facing labels, metric definitions and dataset classifications, ensuring both backwards compatibility and future proofing
• Set the standard - Understand existing naming standards and define how label conventions and governance principles apply across a growing range of data types, ensuring clients can intuitively discover, understand, and leverage the data Alpha-Sense has to offer
• Collaborate cross-functionally with engineering, data, product, sales, and client-facing teams to align stakeholders on taxonomy decisions and translate conceptual frameworks into scalable, production-ready systems
• Serve as the internal subject matter expert on data semantics, and develop and maintain official internal and external documentation ensuring taxonomy standards are clearly articulated and accessible to all stakeholders
• Proactively identify gaps and inconsistencies as new datasets are onboarded, and drive resolution in a structured and scalable way
• Design and maintain taxonomy and data structures with AI and LLM compatibility as a core consideration, ensuring labels, definitions, and conventions support model training, inference, and broader AI-driven automation
• Lay the foundation for a future taxonomy practice — building repeatable frameworks and positioning this function for team growth over time

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, with at least 2 years in a product management or closely adjacent cross-functional role
• A genuine interest in financial data and capital markets, with an understanding of how investors and financial professionals consume, interpret, and act on data
• A proven analytical mindset, with the 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 and a genuine curiosity for how consumers of financial data are integrating AI into their workflows
• Strong organizational skills and attention to detail, with a demonstrated ability to manage multiple workstreams and competing priorities independently
• Proficiency in data management tools such as SQL and Python, with a willingness to expand your toolkit as the role evolves