Apprentice - AI & Automation Specialist - Data Governance Products (x/f/m)

What you’ll do Data Governance at Doctolib ensures that the data powering our healthcare decisions — across 900,000+ professionals and 90M+ patients — is discoverable, reliable, and governed by design. As Doctolib builds Europe's reference platform for healthcare AI, governance isn't a compliance checkbox: it's the transversal foundation that makes trustworthy analytics and AI possible at scale. You'll join the Data Governance team, reporting to the Data Governance Lead, and contribute to two interconnected streams — with AI Automation as the driving force, and the Data Catalog as its primary application ground. You won't be navigating this alone: Diana (Data Governance Lead) and Zahra (Data Governance Engineer) will be your day-to-day partners. 1. Scale Data Governance with AI Your goal: make governance measurable, gamified, and increasingly AI-driven — using engineering-grade tools (Python, Dagster, GitHub Actions) to build automations that scale — so data owners across every function stay engaged with standards and Doctolib's data stays high-value and well-protected. Contribute to AI-assisted governance workflows : from building an automated audit agent (e.g. via Claude Code) to auto-tag data assets, to leveraging tools like NotebookLM to generate one-pagers and videos that make governance policies land with any stakeholder Own Data Governance KPIs and dashboards (Metabase) to drive gamified governance: track policy adoption, quantify the team's impact, and keep the metrics that incentivize data owners and influence governance standards company-wide. Simplify complexity every day by supporting cross-functional stakeholders on Data Governance topics, communicating policies and best practices across the organization, and delivering impactful internal presentations 2. Drive Doctolib's data catalog product management Your goal: any Doctoliber — from Sales to Finance to Tech Product — can find the right data asset in under 2 minutes, with full confidence. Maintain the catalog as a real-time, end-to-end reflection of our data value chain: from production sources (Doctolib products, Salesforce, Zuora) to consumption in AI and analytics tools (Tableau, Metabase), in close collaboration with the Data Governance Engineer and catalog vendor. Run frequent user research and analyze usage metrics to prioritize the catalog roadmap and backlog Drive catalog integration into Doctolib AI tools and promote adoption across all personas — success target: 200+ Monthly Active Users, with AI tool integrations via Catalog MCP as the primary adoption lever Who You Are You could be our next teammate if you are: A Master's Degree student looking for a 1-year or 2-year apprenticeship starting September 2026 at the latest Fluent in English and French (both written and spoken) Comfortable navigating technical environments: you can read SQL queries to understand the scope of a data governance issue, dig into documentation, and use AI tools like Claude (Code, Cowork) and available MCPs as both a key enabler and a daily thinking partner. Not intimidated by engineering-grade tools: you won't write production code, but you'll use Python scripts, Dagster and GitHub Actions to build and maintain automations. An excellent team player with strong communication and interpersonal skills, able to collaborate effectively with cross-functional teams Interested in working in a transversal, fast-moving environment where functional and technical boundaries aren't always clear-cut — you enjoy mapping complexity rather than avoiding it. Eager to deepen your data knowledge gained from previous experiences, whether with a technical or a functional focus (both are a plus) Now, it would be fantastic if you are: Familiar with data visualization tools and able to create clear, insightful dashboards Able to quickly understand stakeholder needs, identify challenges, and effectively prioritize competing tasks Already experienced with data catalogs (e.g. Coa ... (truncated, view full listing at source)