Beschreibung

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:
• Planned duration:
• 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