Data & AI Transformation Program Manager at Richemont

Villars-sur-Glâne, fribourg, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

09 May, 26

Salary

0.0

Posted On

08 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Project Management, Data Transformation, AI Transformation, Stakeholder Management, Communication, Analytical Skills, Problem-Solving, Data Acculturation, Collaboration, Leadership, Data Analytics, Resource Allocation, Organizational Design, Training, Facilitation, Change Management

Industry

Retail Luxury Goods and Jewelry

Description

Richemont, one of the world leaders in the luxury sector, has various Houses specializing in jewelry, watches and high-end accessories. Each Maison proudly embodies a tradition of style, quality and craftsmanship and Richemont strives to preserve the heritage and identity specific to each of them. At the same time, we are committed to innovating and designing new products in line with the values of our Houses, through a process of permanent creativity. Reporting to the Head of Data Transformation, the Data & AI Transformation Program Manager plays a crucial role in empowering our business domains on their data & AI transformation journey. Thanks to a close partnership with business and regional teams, the Program Manager will activity support the design and follow-up of transformation roadmaps, targeted objectives, timelines and success criterias. Key Responsibilities: Data & AI transformation roadmap Collaborate with Domains/Regions to co-design their Data & AI Transformation roadmaps (objectives, timelines, stakeholders, success criteria). Develop detailed plans, resources allocation, organization design and schedules. Coordinate and lead the required instances (ceremonies, steering committees…) with the relevant stakeholders Coordinate and collaborate with the Data & AI Portfolio Manager to ensure effective and impact-generating data & AI initiatives delivery Collaboration and Knowledge sharing Animate the community of data experts across the Maison. Structure the sharing and exchanges between Domains and Regions, ensuring the optimal usage of our resources, avoiding duplication of initiatives, and adherence to our operating model. Act as facilitator and create links between member of the data ecosystem when required Communication, training, data acculturation Identify needs and opportunities on data & AI related trainings, communications and acculturation initiatives. Partner with related departments to answer those needs, both for local and global activations. Actively participate in workshops, conferences or internal events to increase data awareness, and foster a data-driven culture across the organization. Data Office Projects and Mission Upon needs, act as a task force member of Data Office initiatives Actively take part to the Transformation mission of the department, bringing ideas and suggestions. Qualifications and Skills: Master's degree in Engineering, Computer Science, Data Science, Information Systems, Business Administration, or a related field. 5+ years experience in a project management role, preferably within a luxury or consumer goods industry Strong understanding of data & AI transformation strategies. Demonstrated expertise in leading cross-functional teams Proficiency in data and analytics concepts, tools, and methodologies Excellent communication and stakeholder management skills Strong analytical and problem-solving abilities Ability to drive change and foster a data-driven culture English speaking, French is a plus. #Richemont #WeCraftTheFuture In our Group, you can start anywhere and go everywhere. Internal mobility is one of the best growth accelerators to develop within Richemont and our Maisons. We encourage our people to be curious, drive their own career, and dream big.

Responsibilities

The Data & AI Transformation Program Manager will support the design and follow-up of transformation roadmaps, objectives, timelines, and success criteria. They will collaborate with various teams to ensure effective delivery of data and AI initiatives.