{"id":2854428,"url":"https://alion.io/job/richemont-group-procurement-data-and-analytics-senior-manager","title":"Group Procurement Data and Analytics Senior Manager","company":{"id":1791761,"name":"Richemont","domain":"richemont.com","url":"https://alion.io/company/richemont","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":169,"ghost_share":0,"stale_share":0.994,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Operations","role_family":"Operations","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plan-les-Ouates, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":66000,"max_usd":152000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":4596},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-07-20T00:00:00Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-10-26T02:47:15Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":97},"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.\nRichemont is looking for a Senior Manager Data and Analytics to lead a team of data professionals within the Group Responsible and Strategic Procurement department.\nReporting 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.\nThis role drives the transformation of raw data into actionable insights that are key to better understanding or 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.\nHOW WILL YOU MAKE AN IMPACT?\nKEY RESPONSIBILITIES\nStrategic Leadership & Vision:\nDevelop and articulate comprehensive data and analytics vision and strategy aligned with the overall business objectives, fast evolving sustainability regulations context and digital transformation initiatives.\n\nIdentify, design and prioritize key business questions that can be answered through data analysis, driving value creation.\n\nChampion a data-driven culture across the organization, promoting data literacy and the use of analytics for decision-making.\n\nStay abreast of industry trends, emerging technologies, and best practices in data science, machine learning, and business intelligence.\n\nAct 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.\n\nData Management & Governance:\nEstablish and enforce robust data governance policies, standards, and procedures to ensure data quality, integrity, security, privacy, and compliance (e.g., GDPR, Non Financial Report,...).\n\nOversee the architecture, design, and implementation of data platforms and in-house applications, data warehouses, and other data infrastructure.\n\nManage data acquisition, integration, storage, and accessibility across various systems and sources.\n\nEnsure data lineage, metadata management, and master data management (MDM) practices are in place.\n\nAnalytics & Insights Generation:\nPioneer and lead the development and deployment of advanced analytics, predictive modelling, and machine learning solutions to solve complex business problems.\n\nOversee the creation of dashboards, reports, and data visualizations that provide clear, actionable insights to stakeholders at all levels.\n\nDesign and deliver Maisons’ facing reporting frameworks, adapting outputs to varied maturity levels across 20+ Maisons and Regions\n\nCollaborate with the department Experts to understand their analytical needs and deliver tailored solutions that drive measurable impact\n\nPropose innovative solutions to enhance effectiveness and efficiency of analytics processes.\n\nApply data science methodologies to analyse spend and buying patterns, drive cost savings, mitigate supply and continuity risks, and ensure contract and policy compliance.\n\nStakeholder Engagement & Communication:\nPartner closely with Group Data Office teams to operationalise Analytics and AI solutions end-to-end, ensuring they are production-ready, scalable and fully integrated into user experience.\n\nAct as a primary liaison between the data and analytics team, Category Managers, Responsible Sourcing leads, Maisons and Regions and department Experts/internal stakeholders\n\nEffectively communicate complex analytical findings and recommendations clearly and concisely to non-technical audiences, including senior leadership.\n\nDevelop compelling visualisations and data-driven narratives to communicate insights effectively to operational and executive audiences.\n\nBuild strong relationships with internal and external partners to leverage data capabilities.\n\nTeam Management & Development:\nManage and develop a team of data professionals, fostering a collaborative, innovative, and high-performance team environment.\n\nProvide technical guidance and thought leadership to the team.\n\nActively upskill the team in advanced analytical methodologies, data storytelling, and the application of next generation AI tools in Procurement.\n\nCommunicate project status, risks and outcomes to leadership and stakeholders\n\nHOW WILL YOU EXPERIENCE SUCCESS WITH US?\nREQUIRED SKILLS AND QUALIFICATIONS:\nBachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field.\n\n8+ years of progressive experience in data analytics, business intelligence, data science, or a related field, including experience in a management role.\n\nBusiness Acumen:\nUnderstanding of business processes and the ability to connect data insights to business objectives.\n\nProven track record of developing and executing data strategies that deliver significant business value.\n\nCuriosity and a proactive approach to understanding business challenges.\n\nDemonstrated ability to translate complex business requirements into clear technical specifications with strong stakeholder management, communication and presentations skills.\n\nProven ability to translate regulatory compliance requirements into data architecture and collection frameworks\n\nTechnical Skills:\nDeep understanding of the digital Procurement ecosystem (SAP Ariba,...).\n\nExperience with large-scale data platforms and technologies (e.g., cloud platforms like AWS, Azure, GCP; ...).\n\nStrong understanding of data governance, data quality, and data privacy principles.\n\nProficiency in programming languages commonly used in data science (e.g. SQL, Python, R).\n\nStrong, practical understanding of Generative AI (Gen AI) and Agentic AI frameworks, and how they can be applied to optimize procurement processes.\n\nExpertise in data visualization tools (e.g., Looker, Power BI, Tableau).\n\nExperience with cloud data platforms (e.g., Google Cloud Platform).\n\nSpreadsheet Software: advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, advanced formulas, data modelling).\n\nFamiliarity with machine learning frameworks and statistical modelling techniques and their application in business.\n\nKnowledge of database management systems and ETL processes.\n\nAnalytical & Problem-Solving Skills:\nExceptional analytical and problem-solving skills.\n\nExceptional critical thinking abilities to interpret data and draw meaningful conclusions.\n\nAbility to identify root causes of problems and propose data-driven solutions.\n\nInterpersonal Skills:\nA strategic mindset with a highly collaborative and consultative approach to problem-solving\n\nExcellent verbal and written communication and presentation skills, with the ability to present complex information clearly and concisely.\n\nAbility to communicate and collaborate effectively with both technical and non-technical stakeholders.\n\nWHAT MAKES OUR GROUP DIFFERENT?\nOur 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.\n- We value, collegiality, Courage, Curiosity, Empathy, Humility and Integrity.\n- We care for the world we live in.\n#Richemont #WeCraftTheFuture","description_format":"text","description_chars":7902,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Supply Chain","Jewelry","Watches","Luxury Goods & Designer 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