Senior Data Product Manager

🕒 il y a 23 jours

🗣️🇺🇸🇬🇧 Anglais requis

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ezCater

501 - 1000 employés

Fondée en 2007

🤝 B2B

🛍️ eCommerce

💰 €100 000 000 Series D en 2021-12

B2B • eCommerce • Food and Beverage

ezCater est une plateforme qui offre aux entreprises des solutions de traiteur, permettant aux sociétés de commander de la nourriture pour des réunions et événements auprès d'une large gamme de restaurants et traiteurs. La plateforme permet aux utilisateurs de gérer facilement les commandes, garantissant que toutes les préférences alimentaires et les besoins professionnels sont satisfaits de manière fluide. En se concentrant sur les clients d'entreprise, ezCater simplifie le processus de restauration, le rendant plus efficace pour les organisations souhaitant nourrir leurs équipes et invités.

Description

• Lead Enterprise Data Platform product strategy in partnership with Engineering • Identify and quantify platform value by understanding current-state friction and future-state needs • Make Enterprise Data Platform and Hub vision real by turning it into an actionable roadmap • Own and evolve a multi-quarter Data Platform roadmap balancing foundational work with high-leverage use cases • Enable ML and Data Science on the platform by ensuring it supports model development and deployment needs • Turn cross-functional needs into reusable platform capabilities • Translate platform needs into clear technical requirements • Drive cross-workstream execution for platform initiatives • Act as a peer to Data Engineering and Architecture • Deliver, measure, and iterate on platform capabilities • Increase adoption and track outcomes for platform usage • Be the authoritative expert on our Enterprise Data Platform

🎯 Exigences

• 5+ years experience as an owner of Data or Analytics Products, with direct Data Product Management experience strongly preferred • 7+ years working in or directly with Data Engineering, Data Platform, or Analytics teams • Demonstrated success owning end-to-end data or platform products • Deep familiarity with data warehousing and data platforms (e.g., Snowflake, Redshift, BigQuery) • Strong SQL proficiency • Experience with BI tools (e.g., Sigma, Tableau, Looker) • Experience partnering with Data Science and/or ML Engineering teams • Proven ability to build and execute multi-quarter product plans • Solid project/program delivery skills • Excellent communication and stakeholder management skills • Hands-on experience with AI-assisted analytics or natural-language query tools • Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events

🏖️ Avantages

• Competitive salary • Stock options • 12 paid holidays • Flexible PTO • 401K with ezCater match • Health/dental/FSA • Long-term disability insurance • Mental health and family planning resources • Remote-hybrid work from office or home • Employee meal program (when in office) • Opportunities for career growth

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