Data & AI Product Manager

Emploi pas sur LinkedIn

🕒 il y a 26 jours

🦌 Connecticut, New Jersey, +2 états de plus – Distant

infoinfo

💵 $99 450 - $132 600 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Endeavor

Endeavor

5001 - 10000 employés

Fondée en 1999

🏨 Hôtellerie

📣 Marketing

Hospitality • Marketing • Entertainment

Endeavor est une entreprise mondiale de sports et de divertissement qui possède, représente et produit du contenu sportif et de divertissement haut de gamme. Depuis ses débuts en tant qu'agence de talents à Hollywood, Endeavor s'est diversifiée dans un portefeuille varié à travers l'écosystème du sport et du divertissement. L'entreprise se spécialise dans la représentation de talents via WME, les opérations sportives et le conseil via IMG, et les expériences et l'hospitalité via On Location. Endeavor est également impliquée dans la production d'événements en direct, les données sportives et la technologie, ainsi que le marketing culturel. Elle est le propriétaire majoritaire de TKO Group Holdings, qui inclut l'UFC et la WWE, et possède des organisations telles que PBR et l'Euroleague Basketball. Ses services complets couvrent la représentation de talents, les opérations sportives, la gestion d'événements, la production médiatique, la gestion des licences de marque, et plus encore.

Description

• Own product direction, roadmap, backlog, and lifecycle for On Location Base data products • Oversee development of reusable Snowflake data products, including dimensional models, curated data sets, semantic definitions, data interfaces, and governed self-service assets • Partner with analytics and business teams to shape BI reporting and AI-enabled capabilities • Advise stakeholders across product, pricing strategy, marketing, finance, sales, operations, guest/customer experience, and event leadership • Shape unmet needs into opportunities with defined users, decisions, actions, value hypotheses, success measures, dependencies, and stop/reconsider criteria • Manage a multi-horizon portfolio and make tradeoffs across value, urgency, risk, reuse, delivery confidence, capacity, and displaced work • Convert product intent into Jira epics, stories, acceptance criteria, data contracts, measures, and decision records • Partner with data engineering, analytics engineering, data science, platform, governance, security, and external delivery teams from discovery through production • Track dependencies, milestones, risks, decisions, blockers, stakeholder commitments, launch readiness, adoption, and post-launch ownership • Enable reporting and decision-making across On Location events and programs while building reusable patterns across TKO • Improve adoption, documentation, trust, reliability, latency, support signals, and outcome measures for owned products

🎯 Exigences

• 3+ years of experience in data product management, technical product management, analytics product management, data engineering, data science, analytics engineering, or a closely related field • Strong technical foundation in data engineering, software engineering, data science, analytics engineering, or data analysis • Ability to reason credibly about related technical disciplines • Experience translating business problems into data models, analytical products, platform capabilities, integrations, APIs, pipelines, or AI-enabled workflows • Working fluency with SQL and modern data concepts including dimensional modeling, data quality, identity resolution, semantic layers, event instrumentation, warehouse/lakehouse architecture, APIs, and data lifecycle management • Demonstrated ownership of products or complex initiatives from discovery through delivery, launch, adoption, and ongoing operation • Strong execution and operating discipline • Excellent written and verbal communication • Experience balancing multiple concurrent priorities in changing environments with hard deadlines and cross-functional dependencies • Preferred: career path beginning in engineering, data science, data analysis, analytics engineering, or another technical discipline before transitioning into product management • Preferred: experience with Snowflake, Omni or another semantic/BI platform, Salesforce, Marketing Cloud or comparable activation systems, Amplitude/GA4, Census or similar reverse-ETL tools, and/or modern AI platforms • Preferred: experience with customer 360, event or behavioral data, audience activation, attribution, lead scoring, marketing analytics, commissions, or commercial reporting • Preferred: experience delivering products for live events, entertainment, sports, travel, hospitality, e-commerce, or another time-sensitive, customer-facing industry • Preferred: experience with governance, privacy, security, PII, data-sharing agreements, model risk, or responsible AI requirements • Preferred: familiarity with Jira, agile delivery practices, product discovery, experimentation, and portfolio or product-operations cadences • Genuine enthusiasm for entertainment, sports, live events, and TKO brands

🏖️ Avantages

• Base rate along with, as applicable, short- and long-term incentives • Growth and developmental opportunities • Health care • Retirement • Vacation and other paid time off • Additional offerings

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