Lead Product Manager - Patient Data Collection (x/f/m)
Doctolib is hiring a Lead Product Manager - Patient Data Collection (x/f/m) in Paris, France. Level rates it ; you can apply on Doctolib.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions Apple Health, Google Health Connect and product management among its tools and skills.
- Level classes it as a lead role.
- Doctolib has 155 other open roles on Level.
AI in this role
Lead the patient data collection and health record platform strategy across multiple integration channels.
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
Your responsibilities include but are not limited to:
- 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'll 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
We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.
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
All information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
How we rate this
Lead Product Manager - Patient Data Collection (x/f/m) at Doctolib rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where healthcare data was part of your work. What did you do?
- Tell me about a project where gdpr was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Walk me through how you've used Apple Health in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Product Management, Healthcare Data, Gdpr, Data Governance, and Apple Health. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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