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Mirakl Logo Mirakl · IT - Software Development

Vp Data

France, Paris · Job Posted June 30, 2026
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Job Description

Lead and scale Mirakl’s Data organization to build the Data, AI, and Agentic Foundations leading Mirakl next phase of growth. Mirakl is evolving into a hybrid agentic company—internally through an agent-led organization, and externally through proprietary AI models and agentic-native products. Operating at thousands of TBs of data and trillions of tokens annually, this role ensures secure, high-quality data, production-grade AI development, and scalable model serving—enabling teams to build and operate AI systems and agents at scale.

Job Responsibility

  • Lead the Data Organization
  • Scale and manage Data teams across platform, analytics, and AI foundations
  • Define and execute the Data, AI, and Agentic Foundations strategy
  • Own a €3M+ budget (infra, tooling, scaling)
  • Drive alignment across AI, Product, Engineering, and Business
  • Ensure execution, prioritization, and delivery at scale
  • Build Data Foundations
  • Deliver a scalable, secure, governed data platform (100s of TBs)
  • Structure data raw → silver → gold for analytics and AI
  • Ensure data quality, reliability, observability, and security
  • Align data models with core business domains (revenue, ops, product)
  • Enable AI Development & Serving
  • Build a best-in-class AI development platform
  • Provide Data Scientists, Agent Builders, and AI Engineers with tooling for Model development, testing, deployment, Experimentation at scale
  • Operate robust model serving / inference (trillions of tokens/year)
  • Ensure performance, monitoring, and cost control
  • Build Agentic Foundations
  • Enable teams to develop, run, and evaluate agents at scale
  • Provide tooling for Development (frameworks, integrations), Execution (orchestration, tools, memory) and Monitoring, Evaluation (metrics, testing, feedback loops)
  • Standardize agent lifecycle, safety, and reliability
  • Power Analytics & Agentic Products
  • Deliver analytics for internal and product use cases
  • Build and scale analytics agents (internal & in-product)
  • Build data, semantic, and context layers that are consistent, reusable, and agent-ready

Requirements

  • 10–15 years in data, AI, or platform organizations, leading high-performing cross-functional teams (platform, analytics, AI)
  • Proven track record building data platforms and analytics systems that drive business decisions and power product experiences
  • Experience delivering data and analytics products (semantic layers, metrics, business-facing models)
  • Strong understanding of data + AI ecosystems (analytics, LLMs, agents) and their business impact
  • Experience operating production systems in cloud environments, in close collaboration with MLOps and AI/agent teams

Nice to have

  • Build production-grade platforms and organizations that scale
  • Connect data, AI development, and serving into one system
  • Balance performance, cost, security, and business impact
  • Drive execution with high reliability and quality standards
  • Operate with a platform mindset and product intuition
  • AI-native, hands-on with emerging paradigms like agentic coding
  • Drive transformation, upskilling teams and embedding new practices
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