Vice President 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:
• Model development, testing, deployment
• Experimentation at scale
• 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:
• Development (frameworks, integrations)
• Execution (orchestration, tools, memory) and Monitoring
• Evaluation (metrics, testing, feedback loops)
• 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