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InfosysPosted 3 weeks ago

SAP Consultant - Life Sciences - Germany

On-siteMunich, Bavaria, Germany

Full TimeSenior LevelEnterprise

Job Summary

Act as a subject matter expert for Life Sciences business processes and SAP-enabled transformation initiatives, advising pharmaceutical and biotechnology clients on best practices, industry trends, and future-state operating models. Represent industry perspectives during transformation assessments, solution design, and program delivery while supporting business development activities, proposal responses, client workshops, and RFPs. Translate business requirements into SAP-enabled solutions aligned with Life Science industry standards and regulatory requirements, leading functional solution design and providing guidance across implementation and transformation programs. Collaborate with enterprise architects, business stakeholders, and delivery teams to ensure successful outcomes and contribute to thought leadership, capability development, and reusable industry assets.

Required Qualifications

  • Strong understanding of pharmaceutical or medical device business processes and operating models
  • Proven experience supporting SAP-enabled transformation programs within Life Sciences organizations
  • Ability to engage business and IT stakeholders and translate strategic objectives into practical solutions
  • Experience contributing to RFP responses, solution proposals, business cases, or transformation roadmaps
  • Deep expertise in one SAP functional domain
  • 5+ years of relevant professional experience, including significant experience within Life Sciences and SAP transformation programs
  • Bachelor's degree in Life Sciences, Engineering, Information Systems, Business, or related field
  • Ability to travel as required
  • Experience supporting S/4HANA Finance transformations
  • Knowledge of record-to-report standardization, group reporting, profitability analysis, and finance process automation
  • Familiarity with Life Sciences-specific challenges related to product costing, transfer pricing, and global regulatory reporting
  • Experience supporting pharmaceutical order-to-cash processes and commercial operations
  • Understanding of customer engagement in pharmaceutical context, pricing, contract management, rebates, and channel management
  • Familiarity with integration across CRM, omnichannel, and commercial analytics platforms
  • Experience supporting resilient pharmaceutical supply chains and global distribution networks
  • Knowledge of inventory optimization, cold-chain requirements, serialization impacts, and supply continuity initiatives
  • Understanding of warehouse automation and end-to-end supply chain visibility
  • Experience supporting quality management within regulated GxP environments
  • Familiarity with deviation management, CAPA, complaints handling, inspection processes, and validation requirements
  • Understanding of integration between quality, manufacturing, and regulatory processes
  • Experience supporting life sciences manufacturing operations
  • Knowledge of batch manufacturing, electronic batch records, process standardization, and digital manufacturing initiatives
  • Familiarity with MES integration and Industry 4.0 concepts within regulated environments
  • Experience defining and implementing master data governance and migration strategies
  • Knowledge of product, customer, patient, supplier, and material data management
  • Familiarity with data quality, governance, stewardship, and AI-enabled data management capabilities
  • Experience designing end-to-end SAP-enabled business solutions in a Life Science IT landscape
  • Strong understanding of SAP S/4HANA, integration strategies, cloud architectures, and domain-driven design
  • Ability to connect business outcomes with enterprise architecture decisions and transformation roadmaps
  • Experience supporting demand planning, supply planning, inventory optimization, and sales and operations planning
  • Understanding of pharmaceutical supply chain complexity, launch planning, and external manufacturing networks
  • Familiarity with advanced planning analytics and AI-supported forecasting capabilities

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