Senior Manager SAP/IT Data Analytics

vor 9 Stunden

Zug, Zug, Schweiz FFI Advisory Vollzeit


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 or We will be happy to help you


  • Senior Manager SAP/IT Data Analytics

    vor 9 Stunden

    Zug, Zug, Schweiz FFI Advisory Vollzeit

    Industry: Life SciencesNumber 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...

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