Group Procurement Data and Analytics Senior Manager in Geneva

ppRichemont is looking for a bSenior Manager Data and Analytics /bto lead a team of data professionals within the bGroup Responsible and Strategic Procurement /b department. /p pReporting 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. /p pThis 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. /p pbHOW WILL YOU MAKE AN IMPACT? /b /p pbKEY RESPONSIBILITIES /b /p pbStrategic Leadership Vision: /b /p ul liDevelop and articulate comprehensive data and analytics vision and strategy aligned with the overall business objectives, fast evolving sustainability regulations context and digital transformation initiatives. /li liIdentify, design and prioritize key business questions that can be answered through data analysis, driving value creation. /li liChampion a data-driven culture across the organization, promoting data literacy and the use of analytics for decision-making. /li liStay abreast of industry trends, emerging technologies, and best practices in data science, machine learning, and business intelligence. /li liAct 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. /li /ul pbData Management Governance: /b /p ul liEstablish and enforce robust data governance policies, standards, and procedures to ensure data quality, integrity, security, privacy, and compliance (e.g., GDPR, Non Financial Report,...). /li liOversee the architecture, design, and implementation of data platforms and in-house applications, data warehouses, and other data infrastructure. /li liManage data acquisition, integration, storage, and accessibility across various systems and sources. /li liEnsure data lineage, metadata management, and master data management (MDM) practices are in place. /li /ul pbAnalytics Insights Generation: /b /p ul liPioneer and lead the development and deployment of advanced analytics, predictive modelling, and machine learning solutions to solve complex business problems. /li liOversee the creation of dashboards, reports, and data visualizations that provide clear, actionable insights to stakeholders at all levels. /li liDesign and deliver Maisons’ facing reporting frameworks, adapting outputs to varied maturity levels across 20+ Maisons and Regions /li liCollaborate with the department Experts to understand their analytical needs and deliver tailored solutions that drive measurable impact /li liPropose innovative solutions to enhance effectiveness and efficiency of analytics processes. /li liApply data science methodologies to analyse spend and buying patterns, drive cost savings, mitigate supply and continuity risks, and ensure contract and policy compliance. /li /ul pbStakeholder Engagement Communication: /b /p ul liPartner 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. /li liAct as a primary liaison between the data and analytics team, Category Managers, Responsible Sourcing leads, Maisons and Regions and department Experts/internal stakeholders /li liEffectively communicate complex analytical findings and recommendations clearly and concisely to non-technical audiences, including senior leadership. /li liDevelop compelling visualisations and data-driven narratives to communicate insights effectively to operational and executive audiences. /li liBuild strong relationships with internal and external partners to leverage data capabilities. /li /ul pbTeam Management Development: /b /p ul liManage and develop a team of data professionals, fostering a collaborative, innovative, and high-performance team environment. /li liProvide technical guidance and thought leadership to the team. /li liActively upskill the team in advanced analytical methodologies, data storytelling, and the application of next generation AI tools in Procurement. /li liCommunicate project status, risks and outcomes to leadership and stakeholders /li /ul pbHOW WILL YOU EXPERIENCE SUCCESS WITH US? /b /p pbREQUIRED SKILLS AND QUALIFICATIONS: /b /p ul liBachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related quantitative field. /li li8+ years of progressive experience in data analytics, business intelligence, data science, or a related field, including experience in a management role. /li /ul pbBusiness Acumen: /b /p ul liUnderstanding of business processes and the ability to connect data insights to business objectives. /li liProven track record of developing and executing data strategies that deliver significant business value. /li liCuriosity and a proactive approach to understanding business challenges. /li liDemonstrated ability to translate complex business requirements into clear technical specifications with strong stakeholder management, communication and presentations skills. /li liProven ability to translate regulatory compliance requirements into data architecture and collection frameworks /li /ul pbTechnical Skills: /b /p ul liDeep understanding of the digital Procurement ecosystem (SAP Ariba,...). /li liExperience with large-scale data platforms and technologies (e.g., cloud platforms like AWS, Azure, GCP; ...). /li liStrong understanding of data governance, data quality, and data privacy principles. /li liProficiency in programming languages commonly used in data science (e.g. SQL, Python, R). /li liStrong, practical understanding of Generative AI (Gen AI) and Agentic AI frameworks, and how they can be applied to optimize procurement processes. /li liExpertise in data visualization tools (e.g., Looker, Power BI, Tableau). /li liExperience with cloud data platforms (e.g., Google Cloud Platform). /li liSpreadsheet Software: advanced proficiency in Microsoft Excel (pivot tables, VLOOKUP, advanced formulas, data modelling). /li liFamiliarity with machine learning frameworks and statistical modelling techniques and their application in business. /li liKnowledge of database management systems and ETL processes. /li /ul pbAnalytical Problem-Solving Skills: /b /p ul liExceptional analytical and problem-solving skills. /li liExceptional critical thinking abilities to interpret data and draw meaningful conclusions. /li liAbility to identify root causes of problems and propose data-driven solutions. /li /ul pbInterpersonal Skills: /b /p ul liA strategic mindset with a highly collaborative and consultative approach to problem-solving /li liExcellent verbal and written communication and presentation skills, with the ability to present complex information clearly and concisely. /li liAbility to communicate and collaborate effectively with both technical and non-technical stakeholders. /li /ul h3bWHAT MAKES OUR GROUP DIFFERENT? /b /h3 pOur 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.br/- We value, collegiality, Courage, Curiosity, Empathy, Humility and Integrity.br/- We care for the world we live in. /p /p #J-18808-Ljbffr