Product Manager II – Taxonomy, Financial Data

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $128 000 - $176 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

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AlphaSense

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2011

💼 Conseil

🏥 Santé

📣 Marketing

💰 Debt Financing en 2022-06

Consulting • Healthcare • Marketing

AlphaSense est une plateforme de veille stratégique et de recherche qui permet aux entreprises de découvrir des informations cruciales à travers un vaste univers de contenu public et privé, incluant les dépôts d'entreprises, les recherches de courtiers, les appels d'experts et les tendances du marché. Sa technologie basée sur l'intelligence artificielle offre aux utilisateurs la possibilité de réaliser une due diligence complète avec rapidité et précision, réduisant l'incertitude et les lacunes dans la prise de décision. Reconnue par des grandes entreprises, des institutions financières et des sociétés de gestion d'actifs dans le monde entier, AlphaSense dessert des secteurs tels que les services financiers, la santé et la technologie en fournissant des solutions alimentées par l'IA générative qui intègrent des données propriétaires internes avec du contenu premium externe.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• Growth opportunities in a well-funded, high-growth company that’s aiming to be the new fundamental dataset of record . • Autonomy to create your own schedule and do your best work. • We recognize the advantages of working flexibly. This team primarily works remotely and also has an office located in New York City for optional in-office days. • We’re committed to ongoing personal and professional growth and we back it up with a learning stipend, lunch and learns, and guest speakers • We support your development by providing ongoing feedback, career development, and weekly 1-on-1s • We’ll set you up to work remotely and effectively with all the equipment you need