Group Procurement Data and Analytics Senior Manager
Listed on 2026-07-25
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IT/Tech
Data Analyst, Data Science Manager -
Management
Data Science Manager
Richemont is looking for a Senior Manager Data and Analytics to lead a team of data professionals within the Group Responsible and Strategic Procurement department.
Reporting to the Procurement Excellence Director, the Senior Manager Data and Analytics will be responsible for defining, implementing, and overseeing the Group Responsible and Strategic Procurement data strategy, analytics capabilities and data governance framework, enabling the Experts within Group Responsible and Strategic Procurement department as well as other stakeholders across the Group such as the Regions and the Maisons, Group Sustainability function, etc.
This role drives the transformation of raw data into actionable insights that are key to better understanding our supply chains, informed business decisions, optimized operations, enhanced customer experiences, and identifying new growth opportunities, fostering a data‑driven culture, and ensuring ethical and compliant use of data.
How Will You Make an Impact?Key Responsibilities Strategic Leadership & Vision
- Develop and articulate comprehensive data and analytics vision and strategy aligned with the overall business objectives, fast evolving sustainability regulations context and digital transformation initiatives.
- Identify, design and prioritize key business questions that can be answered through data analysis, driving value creation.
- Champion a data‑driven culture across the organization, promoting data literacy and the use of analytics for decision‑making.
- Stay abreast of industry trends, emerging technologies, and best practices in data science, machine learning, and business intelligence.
- Act as a strategic advisor to Responsible and Strategic Procurement Leadership, utilizing data‑driven insights to identify cost‑savings opportunities, mitigate supply chain risks, and drive value creation.
- Establish and enforce robust data governance policies, standards, and procedures to ensure data quality, integrity, security, privacy, and compliance (e.g., GDPR, Non Financial Report,...).
- Oversee the architecture, design, and implementation of data platforms and in‑house applications, data warehouses, and other data infrastructure.
- Manage data acquisition, integration, storage, and accessibility across various systems and sources.
- Ensure data lineage, metadata management, and master data management (MDM) practices are in place.
- Pioneer and lead the development and deployment of advanced analytics, predictive modelling, and machine learning solutions to solve complex business problems.
- Oversee the creation of dashboards, reports, and data visualizations that provide clear, actionable insights to stakeholders at all levels.
- Design and deliver Maisons’ facing reporting frameworks, adapting outputs to varied maturity levels across 20+ Maisons and Regions.
- Collaborate with the department Experts to understand their analytical needs and deliver tailored solutions that drive measurable impact.
- Propose innovative solutions to enhance effectiveness and efficiency of analytics processes.
- Apply data science methodologies to analyse spend and buying patterns, drive cost savings, mitigate supply and continuity risks, and ensure contract and policy compliance.
- Partner closely with Group Data Office teams to ope rationalise Analytics and AI solutions end‑to‑end, ensuring they are production‑ready, scalable and fully integrated into user experience.
- Act as a primary liaison between the data and analytics team, Category Managers, Responsible Sourcing leads, Maisons and Regions and department Experts/internal stakeholders.
- Effectively communicate complex analytical findings and recommendations clearly and concisely to non‑technical audiences, including senior leadership.
- Develop compelling visualisations and data‑driven narratives to communicate insights effectively to operational and executive audiences.
- Build strong relationships with internal and external partners to leverage data capabilities.
- Manage and develop a team of data professionals, fostering a collaborative, innovative, and…
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