Wavestone
Management Consulting
Manager-Data&AIPlatformArchitect(H/F)
Neural analysis suggests this role is
optimal for mid candidates.
“Manager - Data & AI Platform Architect (H/F) at Wavestone. Skills: Cloud Solutions, Project Leadership, Commercial Acumen. Design Data & AI platform architectures. Implement Data & AI platform architectures”
What You'll Achieve.
Achieve annual commercial objective
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
More than 6 years of experience as an SI architect, More than 6 years of experience as a Data & AI Platform architect, Knowledge of SI architecture, Knowledge of market solutions for data and AI use cases, Mastery of complex project sales cycle, Experience in complex sales or commercial development initiatives, Team management skills, Fluent English, Fluent French
Nice to Have
Experience in sales with complex projects, Experience in commercial development initiatives
What You'll Do.
Design Data & AI platform architectures
Implement Data & AI platform architectures
Ensure solution alignment with governance
Ensure solution alignment with security
Ensure solution alignment with performance
Lead Full Stack developer teams
Lead Data Engineer teams
Lead ML Engineer teams
Lead AI Engineer teams
Define scalable AI & Data platforms
Implement scalable AI & Data platforms
Implement data storage solutions
Implement data integration pipelines
Integrate modern tools for data flows
Orchestrate data flows
Implement event-driven architectures
Benchmark data and AI technologies
Recommend technologies to clients
Assist clients in adopting solutions
Assist clients in adopting methodologies
Train clients on data architecture
Train clients on associated tools
Provide expertise to organizations
Lead high-stakes missions
Ensure deliverable quality
Coordinate stakeholders
Identify opportunities
Lead pre-sales activities
Achieve annual commercial objective
Develop consultant skills
Disseminate firm best practices
Manage multiple projects concurrently
Contribute to Data & IA offer development
Identify market trends
Structure firm convictions
Represent Wavestone externally
Represent Wavestone internally
How You'll Work.
Team & Collaboration
Cross-functional teams; Client technical teams; Client business teams
Communication Scope
Client presentations; Internal presentations; External speaking
Process & Methodology
Project management, Mission leadership
Full Job Description
Wavestone est un cabinet de conseil international qui accompagne les grandes organisations dans leurs transformations stratégiques, technologiques et organisationnelles. Nous rassemblons des expert·es passionné·es et orienté·es solutions, qui placent l’humain au cœur de la performance et de la croissance. En forte expansion, nous intervenons auprès de clients grands comptes, en France et à l’international, avec l’ambition de générer un impact positif et durable. Votre équipe Vous rejoignez la Business Unit AI , une communauté d’environ 200 consultants IA & Data qui accompagne les organisations de bout en bout : * Stratégie IA et feuille de route * Identification et priorisation de cas d’usage IA * Gouvernance Data & IA * Operating Models Data & IA * AI Governance et Responsible AI * Adoption et conduite du changement Votre rôle En tant que Architecte Data & AI Plateforme, vous serez amené.e à jouer un rôle clé dans la conception, et la mise en ouvre de plateforme Data & AI. Vous serez au coeur de l'évolution des SI de nos clients avec une expertise attendue sur : * Gestion de projet et conseil technique : * Concevoir des architectures de plateforme Data & AI cloud, hybrides ou on-premises liant solutions cloud (GCP, AWS, Azure, OVH, Blue, etc.), pure player du marché (Dataiku, Databricks, Snowflakes, etc.) solutions spécifiques développées sur mesure, adaptées aux besoins métier et techniques des clients. * Garantir l’alignement des solutions proposées avec les principes de gouvernance, de sécurité et de performance. * Piloter des équipes de développeur Full Stack, Data Engineer, DevOps, ML Engineers, AI Engineer dans la mise en œuvre de la plateforme * Conception et déploiement de solutions : * Définir et implémenter des plateformes AI & Data scalables, incluant des solutions de stockage (data lakes, data warehouses, lakehouse) et des pipelines d’intégration (ETL/ELT). * Intégrer des outils modernes pour orchestrer, superviser et optimiser les flux de données. * Me
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