Lead Product Manager – Patient Data Collection (x/f/m)

What you’ll do

• Own the end-to-end patient data collection programme across every channel a patient record is built from, and be accountable for the result across all four
• Define what a useful record actually means for the teams that depend on it, make that definition measurable, and instrument it rather than inheriting a dashboard
• Partner with the channel-owning teams inside and outside the group: set the inter-team contracts, agree how each channel contributes, and arbitrate collection priorities
• Own record quality and freshness rather than volume, alongside health data storage consent, patient account and online identity
• Ship the layers that serve this data to the rest of the product: the patient feature store, the patient context service and the Patient Health Record feature
• Lead the Patient Profile team’s roadmap and delivery, from PHR (patient health record) and trackers through to the feature store and context service

Who you are

Before you read on: if you don’t have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You will be a great fit if you:

• You have owned a coverage, completeness or data quality metric as your primary objective, and can say what it went from, to what, and over how long
• You have worked at millions-of-records scale
• You have moved that metric through teams that did not report to you, setting interfaces, contracts and SLAs with partner teams
• You have shipped under a hard regulatory or consent constraint, in health, finance or identity, with privacy and consent by design
• You have real technical depth: you have owned a data platform component as a product, a feature store, a context or profile service, or an identity layer.
• You are fluent in English

It would be fantastic if you:

• You have had a data quality problem surface only once it reached a downstream consumer, and you changed how you worked because of it
• You have built a completeness or quality definition and made an organisation adopt it
• You have worked on interoperability, health data standards, or identity and account models

What we offer

• Free comprehensive health insurance (basic package) for you and your children
• 25 days of paid vacation per year, plus up to 14 days of RTT
• Free mental health and coaching services through our partner Moka.care
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• 50% reimbursement of your public transport subscription
• ParentCare Program: Enjoy full salary coverage (100%) during your first month of birth leave and 75% during the second, covered by Doctolib
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Talent Acquisition Interview (Maxime Balme)
• Hiring Manager Interview (Léo Lanzarotti)
• Case Study with Product Panel
• Behavioral Interview with peers, including at least one channel-owning team
• At least one reference check

Job details

• Permanent position
• Full-time
• Levallois-Perret, France
• Hybrid work setup (2 remote days per week)
• Start date: as soon as possible

We welcome everyone

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

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, or disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

Your data privacy

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