Description du poste
<h1><strong>What you’ll do</strong></h1> <p>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.</p> <p>You'll join the Data Governance team, reporting to the Data Governance Lead, and contribute to two interconnected streams — with AI &amp; 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.</p> <h2><strong>1. Scale Data Governance with AI</strong></h2> <p>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.</p> <ul> <li>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</li> <li>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.</li> <li>Simplify complexity every day by supporting cross-functional stakeholders on Data Governance topics, communicating policies and best practices across the organiza