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Open nowPosted 24 hours ago

IA & Data Product Manager

Hubvisory18 open roles

Pay
€46,000 – €56,000 a year
Where
Paris, Île-de-France, France
Work mode
Hybrid
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Your applicationOpen nowIA & Data Product ManagerHubvisory · Paris, Île-de-France, France

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Hubvisory's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Hubvisory postings stay open a median of 14 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 24 hours ago

Hubvisory median: 14 days open

The posting

Chez Hubvisory, nous recherchons un(e) Product Manager Data & IA pour accompagner nos clients grands comptes dans la conception et le développement de produits à forte valeur business, au croisement du Product Management, de la Data Analytics et de l'Intelligence Artificielle.

Ton rôle ? Transformer la donnée en décisions concrètes et en opportunités produit, en faisant le lien entre les équipes métier, Data et Tech.

Tu interviens sur des problématiques variées : Product Analytics, pilotage de la performance, Business Intelligence, segmentation, personnalisation, automatisation ou encore développement de cas d'usage IA.

🎯 Tes missions :

  • Identifier et cadrer des cas d'usage Data & IA à fort impact business.
  • Piloter la Discovery en analysant les besoins utilisateurs, les données disponibles et les opportunités d'amélioration.
  • Définir et suivre les KPIs pour mesurer la performance des produits et orienter les décisions.
  • Concevoir et faire évoluer des produits Data Analytics : dashboards, outils de reporting, solutions de BI, scoring ou aide à la décision.
  • Construire et prioriser la roadmap produit, en collaboration avec les équipes Data Analysts, Data Engineers, Data Scientists et Tech.
  • Explorer les opportunités offertes par l'IA (Machine Learning, IA générative, automatisation, recommandations) pour répondre à des besoins métier concrets.
  • Accompagner les parties prenantes dans l'adoption des solutions et mesurer leur impact business.

L'objectif : faire de la Data et de l'IA des leviers concrets de performance, d'innovation et de création de valeur.

  • Expérience : idéalement 3 à 6 ans d'expérience en Product Management, Data Product Management, Product Analytics ou pilotage de projets Data/IA.
  • Expertise Data Analytics : expérience concrète sur des produits ou projets liés à l'analyse de données, la BI, au reporting, à la mesure de performance, à la segmentation ou au scoring.
  • Compétences Product : maîtrise de la Discovery, de la priorisation, de la roadmap, du delivery et du suivi des KPIs.
  • Culture Data : bonne compréhension des bases de données, SQL, APIs, pipelines Data, Data Warehouse ou Data Lake, sans nécessité d'être développeur.
  • Outils Analytics : connaissance d'outils comme Power BI, Tableau, Looker, Amplitude, Mixpanel ou GA4 appréciée.
  • Culture IA : compréhension des principaux cas d'usage de l'IA et du Machine Learning. Une expérience pratique sur un projet IA est un plus.
  • Orientation business : capacité à exploiter les données pour identifier des opportunités, recommander des actions et mesurer la valeur créée.
  • Collaboration : aisance dans les échanges avec des équipes techniques, Data et des interlocuteurs métier.
  • Posture consultant : autonomie, esprit analytique, capacité de synthèse, communication claire et aptitude à challenger les besoins avec diplomatie.

✨ Ce qui fera la différence :

Une expérience dans la conception ou le pilotage d'un produit Data Analytics ayant généré un impact business mesurable, ainsi qu'une capacité à identifier des opportunités d'utilisation de l'IA.

Nous ne recherchons pas nécessairement un expert technique en IA, mais un profil Product avec une forte culture Analytics, capable de transformer les données en valeur business.

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One press. We do the rest.

  1. A CV for this posting

    Written against Hubvisory's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Hubvisory's form

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    An application in CV Rocket: every answer filled in on the employer's form.

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