Data & AI Lead (f/m/d)

Created in 2016, Free2move simplifies mobility-related uses by offering a wide range of services to satisfy everyone's travel needs.

With Free2move, you can rent a city car for shopping or for your stay in Italy or book a car park during your weekend in Paris... all in one click, on our web/mobile platform!

Born from the merger of the Stellantis Group and the start-up TravelCar, Free2move, thanks to its agility and its spirit of conquest has managed to establish itself in just few years as a reference player to revolutionize the mobility of all travellers.

Having become the #1 reflex for more than 6 million users, Free2move operates in more than 170 countries across 5 continents and is available in 30 languages and 26 currencies. 5000 partners trust us and several hundred thousand vehicles are available!

If you want to join a team of +750 experts and bold international projects, then you're in the right place!

You will evolve in an ultra-dynamic, innovative, agile, internationally-focused structure and integrate our talented teams, full of ideas and motivation and with multidisciplinary skills, at the crossroads of the digital eco-system and the fast-changing automotive sector.

The Mission: Build the Brain of VaaS - Vehicule As A Service

We are looking for a Data & AI Lead to build the data and intelligence backbone of our Vehicle-as-a-Service business.

This role is not only about implementing AI use cases. It is about creating the Unified VaaS Data Core : the governance model, the business ontology, and the AI/headless access layer that will allow our teams, customers, partners, and future agents to query, understand, and act on VaaS data at scale.

This is a high-impact Data Platform, AI Product, and Business Architecture role. The challenge is to connect fragmented sources — fleet, finance, sales, operations, contracts, insurance, customer demand, and partner activity — into one governed intelligence layer that can power operational decisions, AI assistants, and future agent-to-agent interactions. You will unify and govern data coming from SAP (Finance), Salesforce (CRM), fleet systems, dealer stock, demand/supply signals, pricing, contracts, insurance, customer tickets, Aircall/field feedback, partner APIs, and operational workflows.

The target architecture is headless and agent-ready : humans, internal bots, customer assistants, and third-party AI agents must be able to access governed VaaS data through secure APIs, tools, and natural-language interfaces, with full permissions, rationale, traceability, and feedback loops.

Key Responsibilities

You will act as the senior owner of the VaaS Data & AI domain: structuring the roadmap, coordinating data analysts, data engineers, and product/tech teams, defining operating rituals, and progressively building the team and infrastructure required to support VaaS as a scalable business line.

• Data Governance & Operating Model: Define the VaaS data governance framework: ownership, quality standards, lineage, access rights, documentation, data catalog, business definitions, and prioritization rituals across Business, Product, Tech, and Finance.

• Team Leadership & Coordination: Provide functional leadership to data analysts, data engineers, and AI builders working on VaaS topics. Create the cadence, roadmap, and decision framework that ensures data work is 100% connected to business priorities.

• Strategic Translation & Business Vision: Interface with business stakeholders (Finance, Ops, Marketing, Sales) to identify high-ROI use cases. You don’t just "receive tickets"; you challenge the needs and propose AI-driven solutions. Success will be measured by business impact: faster operator onboarding, lower cost-to-serve, improved fleet utilization, better risk/insurance/TCO decisions, and the creation of a scalable data moat.

• Technological Leadership (Agnostic): You will be responsible for selecting the technical stack. You will evaluate and implement the best tools for model orchestration, vector storage, and agentic frameworks.

• Hands-on Implementation: You are a "Maker." You will build the end-to-end architecture, from RAG (Retrieval-Augmented Generation) pipelines to the integration of AI agents into our existing tools (Slack, Jira, Google Workspace).

• Workflow Automation: Develop workflows connecting Large Language Models to our systems of record (SAP, Salesforce, Atlassian) to automate repetitive business processes.

• AI-Ready Documentation: Promote "LLM-ready" documentation standards across the tech team, ensuring our codebase and processes are easily ingestible by AI agents.

• Autonomous Delivery: You own the project lifecycle. While you can collaborate with the central Data team for infrastructure support, you are the primary driver of the VaaS Intelligence Engine's technical execution.

Technical Profile

We are looking for a senior, pragmatic builder with strong data platform and AI product experience:

• Data Engineering & Architecture: Strong experience designing data platforms, data models, semantic layers, APIs, and governed data products.

• Modern Data Stack: Solid understanding of SQL, data warehouses/lakehouses, ETL/ELT, data quality, cataloging, lineage, and access control.

• AI/LLM Implementation: Strong knowledge of RAG, natural-language querying, agentic workflows, evaluation, prompt systems, and model/tool orchestration.

• Pragmatism: Ability to select technologies across cloud, vector databases, and orchestration frameworks without being locked into a specific vendor.

• Software Skills: Strong software/API understanding, ideally with Python and REST/GraphQL integrations.

• Enterprise Ecosystems: Experience working with fragmented systems such as ERP, CRM, ticketing, or partner APIs.

• Cloud & Security: Cloud experience (AWS preferred). Strong security, privacy, and governance mindset (GDPR, enterprise access control).

Leadership & Business Profile

• Seniority: Senior enough to operate with executive stakeholders and challenge business priorities.

• Structure: Able to build structure where none exists: roadmap, rituals, governance, and operating cadence.

• Matrix Management: Experience in management is a must. Comfortable providing functional leadership to analysts and engineers even when reporting lines are matrixed.

• Management experience : Management of 2 data engineers & 2 data analysts

• Business Translator: Able to connect data/AI work to P&L, AOI, cost-to-serve, and platform valuation.

• Delivery-oriented: A pragmatic builder who ships iterative value instead of academic AI concepts.

• Communication: Fluent in English; French is a plus.

Our Recruitment Process

• Step 1 (30 mins) : Intro call with a Talent Acquisition, to review your path and expectations.

• Step 2 (1H) : Interview with our Director of Product

• Step 3 (30 mins) : Interview with our Director of Data & AI

• Step 4 (1H) : Interview with cross functional colleague

• Final step : A coffee on site to meet your data team

What we offer

Working at Free2move means becoming part of a tribe in which the culture of performance rhymes with a good atmosphere. It is also:

• A start-up spirit supported by a large Group 

• The opportunity to revolutionize the uses of mobility with us! 

• A neat integration to start well 

• Lots of possibilities for development 

• Collaboration with multidisciplinary and international teams 

• International projects to perfect your background! 

• An attractive salary  

• A Swile card to enjoy all the restaurants around you! 

• A mutual insurance financed at 60% and a providence in case of hard times financed at 100%!

• An access to our E-Learning platform : for the development of languages and other skills

• No-meetings days to boost your efficiency!

• Table football battles to relax ⚽️
  

...This list is not exhaustive...

Job type:
- Permanent contract within the head office in the heart of the 9th district in Paris

Package :

• Annual gross salary package depending of your experience: 60-70K€