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Richemont is seeking 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, this role is responsible for defining, implementing, and overseeing the Group Responsible and Strategic Procurement data strategy, analytics capabilities, and data governance framework. The position enables Experts within the department and other stakeholders across the Group, such as Regions, Maisons, and the Group Sustainability function. The role transforms raw data into actionable insights for supply chain understanding, 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.

Tasks

  • Develop and articulate comprehensive data and analytics vision and strategy aligned with business objectives, sustainability regulations, and digital transformation initiatives.
  • Identify, design, and prioritize key business questions for data analysis to drive value creation.
  • Champion a data-driven culture, promoting data literacy and 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, using 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 architecture, design, and implementation of data platforms, 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 practices are in place.
  • Lead development and deployment of advanced analytics, predictive modelling, and machine learning solutions to solve complex business problems.
  • Oversee creation of dashboards, reports, and data visualizations for stakeholders at all levels.
  • Design and deliver Maisons’ facing reporting frameworks, adapting outputs to varied maturity levels across 20+ Maisons and Regions.
  • Collaborate with department Experts to understand analytical needs and deliver tailored solutions.
  • 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 operationalise Analytics and AI solutions end-to-end, ensuring production-ready, scalable, and integrated user experience.
  • Act as primary liaison between data and analytics team, Category Managers, Responsible Sourcing leads, Maisons, Regions, and department Experts/internal stakeholders.
  • Effectively communicate complex analytical findings and recommendations to non-technical audiences, including senior leadership.
  • Develop compelling visualisations and data-driven narratives for 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 high-performance environment.
  • Provide technical guidance and thought leadership to the team.
  • Upskill the team in advanced analytical methodologies, data storytelling, and application of next generation AI tools in Procurement.
  • Communicate project status, risks, and outcomes to leadership and stakeholders.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field.
  • 8+ years of progressive experience in data analytics, business intelligence, data science, or a related field, including management experience.
  • Understanding of business processes and ability to connect data insights to business objectives.
  • Proven track record of developing and executing data strategies that deliver significant business value.
  • Curiosity and proactive approach to understanding business challenges.
  • Ability to translate complex business requirements into clear technical specifications with strong stakeholder management, communication, and presentation skills.
  • Proven ability to translate regulatory compliance requirements into data architecture and collection frameworks.
  • Deep understanding of the digital Procurement ecosystem (SAP Ariba).
  • Experience with large-scale data platforms and technologies (cloud platforms like AWS, Azure, GCP).
  • Strong understanding of data governance, data quality, and data privacy principles.
  • Proficiency in programming languages commonly used in data science (SQL, Python, R).
  • Strong, practical understanding of Generative AI (Gen AI) and Agentic AI frameworks and their application in optimizing procurement processes.
  • Expertise in data visualization tools (Looker, Power BI, Tableau).
  • Experience with cloud data platforms (Google Cloud Platform).
  • Advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, advanced formulas, data modelling).
  • Familiarity with machine learning frameworks and statistical modelling techniques and their application in business.
  • Knowledge of database management systems and ETL processes.
  • Exceptional analytical and problem-solving skills.
  • Exceptional critical thinking abilities to interpret data and draw meaningful conclusions.
  • Ability to identify root causes of problems and propose data-driven solutions.
  • A strategic mindset with a highly collaborative and consultative approach to problem-solving.
  • Excellent verbal and written communication and presentation skills, with ability to present complex information clearly and concisely.
  • Ability to communicate and collaborate effectively with both technical and non-technical stakeholders.
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Über uns
Richemont ist ein international tätiger Schweizer Luxusgüterkonzern mit Sitz in Bellevue und entwickelt, produziert und vertreibt Schmuck, Uhren, Lederwaren, Mode und Accessoires. Das Unternehmen vereint zahlreiche Luxusmarken unter einem Dach und organisiert seine Aktivitäten in Bereichen wie Schmuck, Uhren und weitere Luxusgüter. Richemont ist weltweit tätig und bedient Kunden über ein globales Netzwerk von Boutiquen und Vertriebskanälen.
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