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 engineering, design, and business teams.
Doctolib is currently seeking an experienced Analytics Engineering Manager to lead a team of 6-7 individuals in the Patient & Foundation domain. As an Analytics Engineering Manager, you will be responsible for overseeing the end-to-end data lifecycle, from data extraction to publication. Our approach to data assets is product-oriented, and we have a modern tech stack with innovative projects in the pipeline.
What You'll Do:
- Manage and grow the AE Patient & Foundation team, directly managing 6-7 engineers.
- Define the technical roadmap in alignment with Tech & Product goals
- Work closely with Data Product Managers to help to iterate on Data Products
- Collaborate with Data & Machine Learning Platforms teams to empower innovation and make our stack performante, reliable and stable.
- Create a strong team culture aligned with our engineering standards and customer focus.
- Participate in hands-on work, including code reviews, grooming and design review
Responsibilities:
- Lead and manage a team of 6-7 individuals in the Patient domain, ensuring their professional growth and development.
- Oversee the entire data lifecycle, from data extraction to publication, ensuring high-quality and reliable data assets.
- Collaborate with cross-functional teams to drive data-driven decision-making and support various business initiatives.
- Bring a fresh perspective to the team, introducing new ideas and innovative approaches to analytics engineering.
- Engage in cross-team collaboration, working closely with the other 3 Analytics Engineering teams.
Who You Are:
- An Engineer at heart with previous experience leading engineering teams as a tech lead or people manager.
- An excellent leader with strong interpersonal skills and the ability to build and lead high-performing teams.
- Interested in working on an early-stage project with many challenges to solve and a fast iteration cycle.
Requirements:
- Proven experience in managing and leading a team of analytics engineers or data scientists.
- Strong technical background with expertise in data extraction, transformation, and visualization.
- Familiarity with product-oriented approaches to data assets and a passion for innovation.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Fluency in English and French (both written and spoken).
What we offer
- 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
- Technical interview
- Meet the team
- Meet the Data director
- Reference check / Criminal check background
- Offer!
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 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!
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