Doctolib
Job title:
Lead Product Manager – Data Platform (x/f/m)
Company
Doctolib
Job description
What we do :Join a team of passionate and hardworking entrepreneurs to transform healthcare!Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.What you’ll do :We are seeking an experienced Manager specialized in Data Platform to join our dynamic team. As a Product Manager, your mission is to define, prioritize initiatives and maintain the data platform to maximize value for Doctolib and its users, and ensure their scalability.Data Product Managers are the first point of contact for internal stakeholders and data teams (Analytics Engineering, Data Science…) to understand their problems and liaise with Data Platform teams to frame, build and maintain the capabilities of the platform that will address them.The scope includes multiple data platform teams: Data Collection, Data Engineering, Machine Learning Platform and Tools.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 PM, one of your key responsibilities will be to contribute to the vision, build the strategy to achieve the vision, monitor the platform capabilities with the right metrics and work with the development team to set the priorities and deliver the initiatives to achieve the vision.Responsibilities:
- 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 4 data platform teams
- Contribute to the data platform vision and roadmap
- Contribute to the vision that will guide all data platform development efforts
- Implement a product management approach to the data platform to optimize impact and scalability of each component
- 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 improve platform components
- Communicate with stakeholders and cross-functional teams, to ensure that everyone is aligned on the platform vision, strategy, and roadmap.
- Understand users problems and make sure the platform delivers expected impact
- Continuously connect with end-users and evaluate the data platform 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 platform adoption working closely with data teams and end-users
Stack
- Kafka debezium
- Airflow
- DBT
- AWS redshift (ongoing migration to GCP)
- Amazon SageMaker
- Metabase for exploration
- Tableau for reporting
- Amplitude for web-analytics
Who you are :If you don’t meet all the requirements below but believe this opportunity matches your expectations and experience, we still encourage you to apply!
- At least 12 years experience in Data Engineering or Product Management within a data team
- At least 5 years experience in management of multiple people
- Strong understanding of data platform, engineering, analytics, and AI technologies
- Ability to anticipate trends and translate convictions into actionable vision for the platform
- Experience working with cross-functional teams and managing product development lifecycles
- Excellent analytical and problem-solving skills
- Strong communication and presentation skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders
- Demonstrated leadership skills and the ability to drive product vision, define strategy and structure delivery
- Passion for innovation, data-driven decision-making, and creating exceptional user experiences
Why joining us :
- Impactful Work: Make a direct impact on our business by building and optimizing critical data infrastructure.
- Collaborative Environment: Work in a collaborative and supportive environment with talented data professionals.
- Growth Opportunities: Opportunities for professional development and career advancement within a growing data team.
In general :
- Employee share plan for every Doctoliber (BSPCE)
- Free Health Insurance for you & your family
- Up to 14 days of RTT
- Parental care program (1 month off in addition to the legal parental leave and 0,5 days off per child when the school starts)
- Wellbeing program (free mental health and coaching offer with our partner moka.care)
- A flexible workplace policy offering both hybrid and office-based mode
- Flexibility days allowing to work in EU countries and the UK 10 days per year
- Lunch voucher with Swile card
- Work Council subsidy to refund part of sport club membership or creative class
- Bicycle subsidy
The interview process :
- Recruiter Interview
- Hiring manager interview
- Case study
- Fit interview with the team (On site)
- Meet the Data Director and the CTO
- Reference check / Criminal check record
- Offer!
If you would like to find out more about tech life at Doctolib, feel free to read our latest !At Doctolib, we believe in improving access to healthcare for everyone – regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don’t just accept diversity at Doctolib, we respect and celebrate it!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, or place of origin. If you have a disability, let us know if there’s any way we can make the interview process smoother for you!All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click .If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at .
Expected salary
Location
Paris
Job date
Wed, 16 Oct 2024 05:45:57 GMT
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