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. Coalesce Catalog, Atlan, Alation) or data visualization tools like Tableau or Metabase
• Interested in or with first exposure to product management practices (user research, roadmap prioritization, backlog management)
• Demonstrating flexibility and adaptability when facing new challenges or changing requirements

If you don't meet all the requirements above but believe this opportunity matches your expectations and experience, we still encourage you to apply!

Please note that the Data Governance team has the particularity of having very diverse profiles, with some team members who are not technical at all. What matters is your ability to understand technical constraints, not to apply them.

To prove that you are a real human genuinely interested in this opportunity, please include the word "Magikarp" in your application.

The interview process

• Recruiter interview (30 minutes)
• Operational interview with the hiring manager and current apprentice (1h15 to 1h30) — includes a 5–10 min live demo where you walk us through an AI-powered automation you've built (even something small or personal): what it does, how you approached it, and what's under the hood.
• Final interview with the Head of Data Governance (20 minutes)
• Offer!

Job details

• 1-year or 2-year apprenticeship
• Apprenticeship pace:
• Ideally: 4 days at Doctolib, 1 day at school per week provided that the day at school is never a Tuesday nor Wednesday
• Possible: 3 weeks at Doctolib, 1 week at school
• Workplace :
• 54 Quai Charles Pasqua, 92300 Levallois-Perret
• 3 days on-site per week (Tuesdays, Wednesdays mandatory)
• Start date : early September 2026 at latest
• Remuneration: According to profile
  
  

Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you! 

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