We make it GmbH is a company operating nationally in Switzerland. Thanks to many years of successful experience, it has a high level of competence in the personnel services sector. Concentration of placement activities on the core areas of industry, technology, office/administration, engineering, pharmaceuticals and IT. We make it GmbH places the highest demands on quality, ethics and discretion.For our customer, the company F. Hoffmann La Roche, we are searching for aSupplier Manager (m/f/d)BackgroundAdvances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CS CoE organisation, the Portfolio & Operations team organises and drives CS CoE core operations, portfolio strategy & management, administration, budget planning, vendor management and procurement interactions and informatics operations including managing cloud & software spend. This team serves as both the strategic catalyst and operational backbone for the CS CoE enabling business performance, transparency, and accountability. As our work evolves and our investment in contractors, consultants, and managed services grows, we have a great opportunity to evolve from reactive purchasing into a strategic, data-driven sourcing model.We are seeking an experienced professional to lead the Supplier Landscape & Taxonomy Initiative. This role will support the transition to a centralized CPL (Contract, Procurement & Licensing) operating model,enabling structured intake, governance and supplier strategy. This is dual-purpose: you will act as a "data architect" to classify and curate our current fragmented spend, and as a "strategic advisor" to propose a consolidated sourcing framework for the department.You will be the primary architect for our "Sourcing Source of Truth," creating a structured and aligned view of what we buy and defining strategies for consolidation. In this dual-purpose role, you will act as both a “data architect”, curating and structuring fragmented supplier and spend data, and a “strategic advisor,” defining and proposing a consolidated sourcing framework across the organization. A key focus of this role is to align supplier taxonomy and sourcing strategy with CPL intake and governance processes, ensuring consistent classification, improved decision-making at the point of request, and stronger linkage between demand, budget, and execution. You will also apply category management principles to translate spend insights into clear strategies, identifying opportunities for consolidation, supplier optimization, and cost efficiency.The perfect candidate (m/f/d): We are looking for a strategic sourcing professional with 5+ years of experience in high-tech environments, supported by a degree in Business, Supply Chain, Data Science, or a related field. The ideal candidate combines a data architect mindset with strong technical fluency, enabling them to transform complex datasets into clear, actionable sourcing strategies. With a solid understanding of computational science and a highly adaptable approach, they quickly learn new domains and drive data-driven decisions.Work hoursStandard / 40 hour weekAufgabenSpend Taxonomy & Classification: Lead the development of a bespoke spend taxonomy and classification model, establishing clear definitions across service categories (including staff augmentation, project-based consulting, and managed services) to enable improved cost control, vendor segmentation, and strategic sourcing initiatives, Data Curation & Enrichment: Perform data curation and enrichment by reviewing and rationalizing the existing inventory of external contractors and consultants, identifying underlying capabilities and aligning them to defined procurement categories, Strategic Consolidation: Collaborate with teams and procurement to identify synergies within our supplier landscape, designing a consolidation strategy that maximizes our leverage and simplifies administrative processes, Operational Bridge: Align with Portfolio & Operations teams to streamline the data flow between the supplier landscape and our budget and WBS frameworks for maximum efficiency, Develop Training: Work with the organisation to help upskilling key roles with regards to supplier and vendor management, Landscape Mapping: Develop a comprehensive end-to-end map of all external resources to provide full transparency and clarity on roles and responsibilities across CS CoE and their stakeholder workstreams, Service Catalog Development: Create a standardized catalog of "buying categories" that aligns with the technical needs of Computational Science, Stakeholder Interviewing: Engage with Subject Matter Experts to translate technical roles into functional sourcing categories, Proposal for Strategy: Develop and present a data-driven category strategy for the Computational Science (CS–CoE) portfolio, defining the future-state sourcing model and establishing recommendations for preferred supplier panels, Rate Card Benchmarking: Analyze rate structures between individual contractors and consultancy firms to identify the most effective sourcing channels, ensuring we achieve the best value for every specialized skill set, Supplier Risk Profiling: Partner with Global Procurement to establish a risk-assessment framework that evaluates our supplier landscape, ensuring a resilient balance between specialized point-support partners and scalable managed service providers, Functional Training Strategy: Develop our functional training for vendor management for maximal value realizationQualifikationEducation: Bachelor’s degree in Business, Procurement, Supply Chain, Data Science, or a related technical field. , Experience: 5+ years in Strategic Sourcing, Vendor Management or Consulting, specifically within high-tech environments. , Data Architect Mindset: Expert-level ability to curate messy datasets and build logical, modular classification frameworks. , Strategic Execution: A systems-thinker capable of distilling hundreds of individual contracts into key strategic pillars, transforming fragmented data into a cohesive sourcing strategy, Technical Fluency: Familiarity with the "language" of AI/Data science to accurately categorize technical services. , Computational Domain Literacy: A deep understanding of the "Computational Science" market, Adaptability: Quickly adapts to new environments and rapidly learns new concepts, tools, and domains English fluent is a MUSTAre you interested?Then Mr. Raphael Sigg looks forward to receiving your completeapplication documents (CV, certificates and training certificates). We look forward to hearing from you.We make it GmbHSeit 2003 verleiht und vermittelt die we make it GmbH Mitarbeiter und Mitarbeiterinnen im Bereich Pharma – Chemie, Logistik und IT. Die we make it GmbH stellt höchste Ansprüche an Qualität, Ethik und Diskretion, Testen Sie uns!
