Senior Manager SAP/IT Data Analytics (100%)
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
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Own, prioritize, and continuously refine the business requirements backlog with a strong focus on SAP S/4 clean core principles
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Design, maintain, and evolve global analytics templates in close collaboration with key stakeholders and data strategy teams
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Drive global standardization initiatives to increase efficiency, scalability, and consistency across regions
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Define and enforce governance frameworks to ensure accurate usage, maintenance, and evolution of global analytics assets and templates
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Continuously audit, optimize, and enhance templates based on user feedback, business evolution, and strategic priorities
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Deliver detailed and actionable business requirements to deployment and technical implementation teams
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Actively support technical deployment activities to ensure successful and high-quality delivery
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Serve as the central point of contact for global template users throughout the project lifecycle
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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
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Several years of professional experience in data, analytics, or supply chain–related roles
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Proven experience managing enterprise data assets with a strong focus on data quality, governance, and sustainability
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Solid understanding of data lifecycle management, data modeling, and data architecture concepts
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Hands-on experience with data governance tools, data management platforms, and data quality frameworks
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Strong expertise in SAP S/4 and its application within complex business environments
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Deep understanding of supply chain operations, including end-to-end processes, business rules, and data dependencies
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Strong facilitation skills to translate data strategy into tangible business impact
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Excellent collaboration and communication skills, with the ability to translate user needs into scalable solutions
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Experience within pharmaceutical and/or healthcare environments considered a strong advantage
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Technical understanding of digital solution implementation and deployment processes
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Programming knowledge and advanced database expertise considered a plus
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Strong business acumen combined with a solid data modeling background
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Experience defining and managing data service level agreements with diverse stakeholder groups
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Familiarity with standard data lifecycle methodologies and best practices
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Strong analytical mindset with structured problem-solving and critical thinking capabilities
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Demonstrates purpose-driven leadership and a strong sense of ownership and urgency
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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!