Strategic Sourcing & Supplier Manager (m/f/d) – Basel

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ManpowerGroup is the world's leading company for workforce solutions.
With our three brands – Manpower, Experis, and Talent Solutions – we support companies from various industries with their recruitment needs. For 75 years, we have been operating in over 75 countries and accompany our clients throughout Switzerland to successfully carry out their tasks and projects.

The perfect candidate:

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.

General Information:

• Start date: asap
• latest Start Date: 15.5.26
• Planned duration: 31.12.26
• Extension (in case of limitation): possible
• Workplace: Basel
• Workload: 80-100%
• Home Office: 2 days remote, 3 days onsite
• Travel: no
• Working hours: Standard
• Is a criminal record extract required: no

Tasks & Responsibilities:

• Spend 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.

Key Responsibilities

• 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 realization.

Must Haves:

• Education: 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