VP DATA

Mirakl; Paris; Hybride; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Diverse work environment

Continuous learning culture

Résumé du poste

Mirakl is seeking a senior leader to head its Data organization in Paris, France. This role involves managing a budget over €3M while overseeing the development of secure and scalable data infrastructures essential for AI and product development.

The ideal candidate will have 10-15 years in data or AI roles, strong leadership qualities, and a proven ability to build analytics systems that inform business decision-making. This is a hybrid position within a collaborative environment.

Qualifications

• 10–15 years in data, AI, or platform organizations, leading high-performing teams.
• Proven track record building data platforms.
• Experience delivering data and analytics products.

Responsabilités

• Lead the Data Organization and manage scaling teams.
• Build a scalable, secure, governed data platform.
• Enable AI development and model serving.

Connaissances

Data platforms and analytics systems development

Project management

AI ecosystems understanding

Cross-functional team leadership

Description du poste

Mirakl is building a hybrid agentic company that relies on data, AI, and agentic foundations to drive its next phase of growth. We are looking for a senior leader to run the Data organization, build secure and scalable data infrastructure, and enable AI and agentic product development.

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 €3M+ 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 (hundreds 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, working closely 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
• End‑to‑end ownership: data → analytics → AI & agents platform
• Ownership of €3M+ annual budget

We welcome collaborators with diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning.

As part of our recruitment process, Mirakl processes your personal data to review and manage your application, and where appropriate, to consider your profile for future opportunities. You can exercise your data protection rights at any time, and as further detailed in our policies. For more information about how we process your personal data and your rights, please consult our Recruitment Privacy Notice, in English and French.

We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.