Vice President, Data & Insights

Emploi pas sur LinkedIn

🕒 il y a 1 mois

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

GitLab

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2014

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

💰 Secondary Market en 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab est une plateforme DevOps complète, proposée sous la forme d’une application unique, qui change en profondeur la manière dont les équipes Développement, Sécurité et Ops collaborent et construisent des logiciels. De l’idée à la production, GitLab aide les équipes à réduire le temps de cycle de plusieurs semaines à quelques minutes, à diminuer les coûts de développement et le time to market, tout en augmentant la productivité des développeurs.

Description

• Define and execute a multi-year strategy for GitLab's data platform • Lead the transformation from analyst-dependent reporting toward AI-powered self-service models • Oversee the architecture and evolution of GitLab's data engineering foundations • Drive analytics engineering practices that produce governed, well-documented, and reusable data models • Build deep expertise in GitLab's consumption and usage-based business model • Establish and maintain enterprise-wide data governance frameworks • Serve as a strategic thought partner to leaders across Sales, Finance, Product, and People • Inspire and develop a high-performing distributed team across data platform, analytics engineering, governance, and analyst functions • Stay ahead of the curve on evolving data tooling, AI agents, and curated analytics applications

🎯 Exigences

• 12+ years of progressive data leadership experience, with 5+ years managing multi-functional data teams at high-growth SaaS companies • Deep expertise in modern data platform architecture, including experience with database schemas, certified datasets, and the tooling and practices that enable AI-ready data infrastructure • Proven track record driving self-service analytics transformation, moving organizations away from analyst bottlenecks toward scalable, AI-enabled data consumption models • Strong understanding of consumption and usage-based business models and the data complexity they introduce, including usage tracking, metered billing, and the metrics that drive recurring revenue businesses • Experience leading analytics engineering functions, including dbt, semantic layers, or similar approaches to building governed, reusable data models at scale • Demonstrated ability to partner with and influence C-level and VP-level stakeholders across Sales, Finance, Product, and People functions, with strong executive presence and business acumen • Track record of developing and retaining high-performing distributed teams in fully remote, async-first environments • Strategic thinker with an unconventional point of view on where data and AI are heading, and the technical depth to distinguish signal from noise when evaluating new approaches

🏖️ Avantages

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental leave • Home office support