We are seeking a highly-skilled Data Analytics Manager to lead a team of experienced data engineers, ensuring the evolution of the Data & Analytics offering at our client company, in Lausanne.

The Data Analytics Engineering team plays a crucial role in collecting, transforming, and delivering data and solutions that facilitate decision-making and operational efficiency.

If you have a passion for motivating others and have experience in managing teams of over 10 people, then we want to hear from you!

Main responsibilities:
• Coach and develop a team of data analytics engineers > 10 people
• Contribute to the collection, sharing, and prioritization of business needs
• Manage the backlog, prioritize sprints, and allocate resources according to agile methods within the quarterly roadmap defined in collaboration with the data product manager
• Ensure the realization of data solutions through technical design, estimation, development, and testing activities
• Ensure the evolution of architecture, exploitation, and maintenance of the analytical platform, in agreement with enterprise architecture and IT principles
• Manage budgets and external service providers
• Contribute to the definition and execution of the Data & Analytics division's strategy

Your Profile
• Higher education degree in a technical field
• Minimum of 5 years of managerial experience
• Minimum of 5 years of experience in implementing analytical solutions from data ingestion to delivery to consumers
• Experience with Microsoft Azure Analytics tools is mandatory.
• Experience with Spark (Synapse / Databricks), Azure OpenAI and Cognitive Services technologies, and knowledge in the insurance domain are an advantage
• Fluent in French and English
Proactive, organized, with a team spirit and passionate about motivating others.

If you meet the above requirements and are excited about this opportunity, apply now for a chance to work in a healthy working environment in a company that has been labeled "Best Employer." Enjoy multiple social benefits, including flexible working arrangements, team management, and career development support.