Senior Data Product Manager

**Über Doctolib**:
Gemeinsam gestalten wir die Gesundheitsversorgung der Zukunft.

Mehr als 2.900 Mitarbeiter in Frankreich, Deutschland, Italien und den Niederlanden helfen dabei, den Arbeitsalltag von Gesundheitsteams mit einer neuen Generation von Technologien und Dienstleistungen zu verbessern.

Gleichzeitig unterstützt Doctolib über 80 Millionen Patientinnen und Patienten dabei, ihre Gesundheit effektiv zu managen und schnellen und einfachen Zugang zu optimaler Gesundheitsversorgung zu erhalten.

**Stellenbeschreibung**:

- 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
- Y