Data & Analytics Support Team Lead
Data & Analytics Support Team Lead
Richemont
Schmuck, Luxusgüter
- Genf
- Vollzeit
- 93.500 CHF – 112.500 CHF (von XING geschätzt)
Data & Analytics Support Team Lead
Über diesen Job
Richemont owns some of the world’s leading luxury goods Maisons, with particular strengths in jewellery, watches, fashion and accessories. Each Maison represents a proud tradition of style, quality and craftsmanship and Richemont seeks to preserve the heritage and identity of each of its Maisons. At the same time, we are committed to innovation and designing new products which are in keeping with our Maisons’ values, through a process of continuous creativity.
ROLE OVERVIEW
The Team Lead, Data & Analytics Support will be responsible for establishing and leading a new support pillar within the Group Technology Data & Analytics team. This role will focus on the operational management of data and analytics support services, ensuring timely and effective resolution of issues, adherence to service level agreements (SLAs), and seamless coordination with regional and local support teams. The ideal candidate will possess strong leadership skills, a solid understanding of IT, data, and delivery processes, and the ability to manage both onsite and offshore support engineers.
- Team Leadership and Management:
- Build, mentor, and manage a team of Data & Analytics Support Engineers.
- Provide guidance, training, and performance feedback to team members.
- Foster a collaborative and results-oriented team environment.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience in leading and managing IT support teams.
- Strong understanding of IT service management (ITSM) principles and best practices.
- Experience with ticketing systems (e.g., ServiceNow, Jira) and knowledge base platforms.
- Excellent communication, interpersonal, and problem-solving skills.
- Ability to work effectively in a fast-paced, dynamic environment.
- Experience working with cloud platforms (e.g., GCP, AWS, Azure) is a plus.
- Familiarity with data and analytics technologies (e.g., data warehousing, ETL, data visualization) is a plus.
SKILLS
- Leadership
- Team Management
- IT Service Management
- Incident Management
- Problem Management
- Change Management
- Communication (written and verbal)
- Problem-Solving
- Stakeholder Management
- Vendor Management