Industrial Data Project Manager

Richemont • Bellevue, WA

1d

About The Position

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. RIMS embraces several roles for the watch & jewellery industry, with the securing of Group industrial stakes, the influence on Maisons' industrial and sourcing strategy, and the operational steering of the MCCs. HOW WILL YOU MAKE AN IMPACT? Your main responsibilities will be the following: Data Management Excellence: SAP Data Migration & Cutover: Ensure accurate data migration during SAP rollouts across all MCCs. Provide comprehensive global support to MCCs for data file deliveries, guaranteeing adherence to defined quality and quantity standards. Data Integrity & Governance: Establish and maintain robust data integrity within MCCs to effectively support future strategic initiatives, including AI, the UNIFAI roadmap, and the S/4 roadmap. Ensure strict compliance with data management best practices throughout the entire data lifecycle (creation, update, and end-of-life). Collaborate closely with Finance & controlling teams to steer and control costing data accuracy and consistency. Data Simplification & Harmonization: Actively contributes to the Group's simplification roadmap by driving the harmonization and streamlining of data processes within MCCs, in close collaboration with Maisons. MCC & Maison Integration: Cross-Functional Coordination: Facilitate coordination between Product and Project teams within MCCs, ensuring clear and consistent communication with all key stakeholders. SAP Rollout Integration: In collaboration with the project manager, lead MCC and Maison integration topics during SAP rollouts. Oversee and lead comprehensive testing efforts with Maisons, from process definition and data preparation to test execution. HOW WILL YOU EXPERIENCE SUCCESS WITH US? Core Competencies: Strong understanding of end-to-end manufacturing flows and the critical impact of data on operational processes. Education: Master’s degree in supply chain, Information Systems (IS), or Data Engineering. Experience: Minimum of 5-7 years of experience in digital transformation or master data management within a manufacturing environment, with a strong emphasis on compliance and traceability. Industrial controlling experience as a must. Proven track record in Project Management (PM). Technical Skills: Solid expertise (data) in SAP ECC, SAP APO, SAP eWM, and PLM solutions, including cutover management. Languages: Fluent in English and French. Personal Attributes: Dynamic, collaborative team player with a strong business partner mindset. Committed to transparency, solution-oriented, and driven by results. Travel: Regular travel required, primarily within Switzerland WHAT MAKES OUR GROUP DIFFERENT? Our true power does not lie in our similarities but in the rich diversity of our arts, cultures, and human skills, as well as our specific ability to foster untapped potential. We value freedom, collegiality, loyalty, and solidarity. We foster empathy, curiosity, courage, humility, and integrity. We care for the world we live in. YOUR JOURNEY WITH US Our HR team is available to listen to you, according to your wishes and needs. As you progress through our recruitment process, you will meet a member of our HR team, the Hiring Manager, and will undertake case studies or assessments depending on the requirements of the position. #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.

Requirements

• Strong understanding of end-to-end manufacturing flows and the critical impact of data on operational processes.
• Master’s degree in supply chain, Information Systems (IS), or Data Engineering.
• Minimum of 5-7 years of experience in digital transformation or master data management within a manufacturing environment, with a strong emphasis on compliance and traceability.
• Industrial controlling experience as a must.
• Proven track record in Project Management (PM).
• Solid expertise (data) in SAP ECC, SAP APO, SAP eWM, and PLM solutions, including cutover management.
• Fluent in English and French.
• Dynamic, collaborative team player with a strong business partner mindset.
• Committed to transparency, solution-oriented, and driven by results.
• Regular travel required, primarily within Switzerland

Responsibilities

• SAP Data Migration & Cutover: Ensure accurate data migration during SAP rollouts across all MCCs.
• Provide comprehensive global support to MCCs for data file deliveries, guaranteeing adherence to defined quality and quantity standards.
• Establish and maintain robust data integrity within MCCs to effectively support future strategic initiatives, including AI, the UNIFAI roadmap, and the S/4 roadmap.
• Ensure strict compliance with data management best practices throughout the entire data lifecycle (creation, update, and end-of-life).
• Collaborate closely with Finance & controlling teams to steer and control costing data accuracy and consistency.
• Actively contributes to the Group's simplification roadmap by driving the harmonization and streamlining of data processes within MCCs, in close collaboration with Maisons.
• Facilitate coordination between Product and Project teams within MCCs, ensuring clear and consistent communication with all key stakeholders.
• In collaboration with the project manager, lead MCC and Maison integration topics during SAP rollouts.
• Oversee and lead comprehensive testing efforts with Maisons, from process definition and data preparation to test execution.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level