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

Doctolib; France; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Paid vacation

Mental health support

Flexibility days

Lunch vouchers

Transport subsidy

Parental leave support

Disability accommodations

Relocation assistance

AI tools access

Job summary

Doctolib is seeking a Lead Product Manager for the Patient Profile team in the Patient domain. You will drive end-to-end patient data collection from four channels to form a trusted health record that powers health recommendations and care plans.

You will own data quality, consent by design, and interfaces across teams, delivering core data services and setting the roadmap for the Patient Health Record and related trackers. Fluency in English is required.

Responsibilities

• Own the end-to-end patient data collection programme across every channel a patient record is built from, accountable for the result across all four channels.
• Define a useful patient record measurable definition and instrument it with dashboards.
• Coordinate with channel-owning teams to set interfaces, contracts and SLAs for data collection priorities.
• Own record quality and freshness, consent management, and identity services.
• Deliver data-serving layers: patient feature store, context service, and Patient Health Record features.
• Lead the Patient Profile team roadmap from PHR and trackers to the feature store and context service.

Job description

Set a new pulse for healthcare!We are looking for a Lead Product Manager to join the Patient Profile team in the Patient domain. Your mission will be to make the patient health record complete, accurate and current enough that everything else we build can act on it, the health recommendations, care plans and assistant experiences that help people take their health into their own hands. You will work in a feature team developing the Patient Health Record, health trackers, patient account and online identity, contributing directly to the quality of the medical support we provide to both patients and practitioners.

A patient record is built from four channels: what patients enter themselves, what they share when preparing a consultation, what we retrieve from health professionals' systems, and what they connect from third-party sources such as Apple Health, Google Health Connect and national health record services. Three of those channels belong to teams you will not manage. You will own the outcome across all four, the most leveraged place to sit in a health platform, and only reachable through other people.

You will also work inside a hard regulatory perimeter: health data, GDPR, consent by design.

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

• 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.

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.