What is the type of contract for this job?

The contract for this job is a Freelance contract

What's the salary range for the Senior Data Product Manager - Data Products position?

The suggested salary for this job is $118,550 - $177,850*

Is telecommuting possible for this job?

No, telecommuting is not possible for this job

Senior Data Product Manager

We are looking for a Senior Product Manager specialized in Data to join the Data Products team.

As a Senior Product Manager, your mission will be to define, prioritize and manage data products to maximize value for Doctolib and its users, and ensure their scalability. You will contribute to building the healthcare we all dream of by enabling data-driven decision making across our organization.

Data Product Managers are the first point of contact for internal users to understand their problems and liaise with Analytics Engineering and Data Science to frame, build and maintain data products (raw data, aggregated data, dashboards/tools, data exports to other tools) that will address them.

This is the most exciting time to join: we are making bold changes towards a more unified, open, scalable and efficient platform in order to enable Doctolib's AI ambitions. As a Senior PM, one of your key responsibilities will be to contribute to the vision, build the strategy to achieve the vision, monitor usage and manage 3 members of the Data PM team under you.

Your responsibilities include but are not limited to:

Manage a team of PMs
- Build a development plan for each PM and help them grow
- Bring operational guidance and act as solution finder
- Ensure consistency and integration between the different data product teams
- Enhance the overall performance of the Data PM team through the implementation of best practices or launching new initiatives
Contribute to the data products vision and roadmap
- Build the vision that will guide all data products development efforts
- Implement a product management approach to all data products to optimize their impact and scalability
- Collaborate with data governance on institutionalizing strong data governance policy for data management
Define and prioritize solutions
- Lead OKRs definition
- Work with stakeholders and Data teams to define a roadmap that will achieve vision
- Contribute to short/mid-term prioritization, consulting with stakeholders and Data teams, and find the right resources to develop and improve data products
- Communicate with stakeholders and cross-functional teams to ensure alignment on the data product vision, strategy, and roadmap
Understand users problems and make sure the platform delivers expected impact
- Continuously connect with end-users and evaluate data products to ensure its components meet the organization's evolving needs (decision making, AI products…)
- Lead discovery, scoping, explorations and work closely with stakeholders and Data teams to ensure that initiatives deliver the expected impact
- Drive data products adoption working closely with data teams and end-user

About our data environment

Our data platform is built on a robust, scalable architecture that supports the needs of our entire organization across multiple countries and healthcare specialties. We've designed our data ecosystem to enable seamless access to insights while maintaining the highest standards of security and compliance.
We're continuously evolving our data infrastructure to support Doctolib's growing AI ambitions, with a focus on data quality, governance, and accessibility.
Our data teams work collaboratively across the organization to ensure that data products deliver meaningful impact for both internal stakeholders and ultimately our healthcare professionals and patients.
We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!

Data stack

Kafka debezium
Airflow
DBT
AWS redshift
Google Cloud Platform
Metabase for exploration
Tableau for reporting
Amplitude for web-analytics
Coalesce (Catalog)

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 have at least 8 years experience in Data or Product Management within a data team
You have at least 3 years experience in management of multiple people
You have strong understanding of data platform, engineering, analytics, and AI technologies
You have the ability to anticipate trends and translate convictions into actionable vision
You have experience working with cross-functional teams and managing product development lifecycles
You have excellent analytical and problem-solving skills
You have excellent communication and presentation skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders
You are fluent in English

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

The interview process

Recruiter Interview
Behavioral Interview with Lucas Bourdallé and a Senior PM from our team
Case Study with Arthur Delpierre Coudert and a Senior PM from our team
Managerial Fit Interview with Arthur Delpierre Coudert and another Senior PM from our team
Engineering Fit Interview with Romain Fays and one of his Engineering Managers (Ivan Leroy or Jean-Pierre Touzet)
At least one reference check

If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!

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, 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!

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Please contact [email protected] for inquiries or to exercise your rights.