Senior Manager SAP/IT Data Analytics (100%)

  • Zug, Switzerland
  • Full-Time
  • Hybrid

Job Description:

Industry: Life Sciences
Number of employees: approx. 5'600 CH / worldwide approx. 134'000
Reference number:
5WW33895

Key Facts: 
SAP S/4HANA (Clean Core focus), Supply Chain Data & Analytics, Global Template & Standards Ownership, Data Modeling & Architecture, Data Lifecycle Management, up to 20% traveling, in Zug/2 days home office.

Main tasks:

  • Partner with functional leads and business stakeholders to translate supply chain–specific needs into clear, high-quality business requirements, fully aligned with global standards and processes
  • Own, prioritize, and continuously refine the business requirements backlog with a strong focus on SAP S/4 clean core principles
  • Design, maintain, and evolve global analytics templates in close collaboration with key stakeholders and data strategy teams
  • Drive global standardization initiatives to increase efficiency, scalability, and consistency across regions
  • Define and enforce governance frameworks to ensure accurate usage, maintenance, and evolution of global analytics assets and templates
  • Continuously audit, optimize, and enhance templates based on user feedback, business evolution, and strategic priorities
  • Deliver detailed and actionable business requirements to deployment and technical implementation teams
  • Actively support technical deployment activities to ensure successful and high-quality delivery
  • Serve as the central point of contact for global template users throughout the project lifecycle
  • Provide thought leadership and strategic guidance on emerging trends in data management, analytics, and digital innovation
  • Lead end-to-end data product lifecycle management, from concept through deployment and continuous improvement

Your qualifications:

  • Bachelors degree or equivalent required; preferred fields include Supply Chain, Data & Analytics, or related disciplines
  • Several years of professional experience in data, analytics, or supply chain–related roles
  • Proven experience managing enterprise data assets with a strong focus on data quality, governance, and sustainability
  • Solid understanding of data lifecycle management, data modeling, and data architecture concepts
  • Hands-on experience with data governance tools, data management platforms, and data quality frameworks
  • Strong expertise in SAP S/4 and its application within complex business environments
  • Deep understanding of supply chain operations, including end-to-end processes, business rules, and data dependencies
  • Strong facilitation skills to translate data strategy into tangible business impact
  • Excellent collaboration and communication skills, with the ability to translate user needs into scalable solutions
  • Experience within pharmaceutical and/or healthcare environments considered a strong advantage
  • Technical understanding of digital solution implementation and deployment processes
  • Programming knowledge and advanced database expertise considered a plus
  • Strong business acumen combined with a solid data modeling background
  • Experience defining and managing data service level agreements with diverse stakeholder groups
  • Familiarity with standard data lifecycle methodologies and best practices
  • Strong analytical mindset with structured problem-solving and critical thinking capabilities
  • Demonstrates purpose-driven leadership and a strong sense of ownership and urgency
  • Willingness to travel up to 20% domestically and internationally
    

The salary range will be communicated confidentially.

If you have any questions, please contact us at any time on +41 55 299 58 58 or [email protected]. We will be happy to help you!