VP Data

We’re not building a data platform. We’re building the foundation of an agent-led company. Mission 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. This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week. What You’ll Do 1. 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 budget (infra, tooling, scaling) Drive alignment across AI, Product, Engineering, and Business Ensure execution, prioritization, and delivery at scale 2. 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) 3. Enable AI Development & Serving Build a best-in-class AI development platform Provide Data Scientists, Agent Builders, and AI Engineers with tooling for: Operate robust model serving / inference (trillions of tokens/year) Ensure performance, monitoring, and cost control 4. Build Agentic Foundations Enable teams to develop, run, and evaluate agents at scale Provide tooling for: Standardize agent lifecycle, safety, and reliability 5. 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 Who You Are Background 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 What Makes You Successful 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 Success Metrics Business impact (product value, productivity, efficiency) Data quality, reliability, and security Model serving performance (latency, cost, scalability) Platform adoption & speed (AI & agent adoption, time to build, deploy, and evaluate models and agents, budget efficiency) Organization & Scope ~25+ people in Data (part of 75+ Data & AI org) with squad setup Data & Agentic Platform (~17): Data Eng, SRE, MLOps, Agentic Platform Data Product & Analytics (~8): Analytics Eng, Data Product Data & Agentic Platform End-to-end ownership: data → analytics → AI & agents platform