Key skills
SAPDigital Supply ChainAgentic AIBusiness Process AnalysisBPMNUse Case ModelingUser StoriesFit-Gap AnalysisSAP S/4HANAUAT PlanningData MigrationAPI IntegrationStakeholder EngagementRisk ManagementGoAIAgenticData EngineeringERPAgile
About this role
Largeton Group is seeking an experienced Business Analyst with SAP knowledge to join their Global Business Transformation Program. This high-impact role involves modernizing foundational transactional processes and consolidating them onto a single ERP platform, while also integrating AI capabilities to enhance decision-making and automation.
Responsibilities:
- Lead end-to-end analysis of current-state transactional processes across finance, supply chain, procurement, manufacturing, and/or HR domains, identifying redundancies and harmonization opportunities
- Facilitate structured process workshops with global business stakeholders to define future-state clean core SAP processes aligned to program standards
- Document detailed business requirements, process flows, data mappings, and functional specifications using industry-standard methodologies (BPMN, use case modeling, user stories)
- Drive fit-gap analysis between existing processes and SAP standard configurations, recommending build vs. configure trade-offs with a clean-core bias
- Partner with SAP functional architects and configuration teams to translate business requirements into compliant, scalable SAP S/4HANA designs
- Support UAT planning and execution: develop test scripts, coordinate business testers, track defects, and validate acceptance criteria
- Participate in data migration planning including data cleansing, transformation rules, and cutover readiness validation
- Contribute to change impact assessments and training content to support organizational readiness and adoption
- Identify, prioritize, and document automation and AI augmentation opportunities across key transactional processes
- Define business requirements and acceptance criteria for Agentic AI workflows including autonomous task execution, multi-step decision chains, and exception-handling logic integrated with SAP
- Collaborate with data engineering and AI platform teams to ensure SAP data structures, APIs, and process triggers are designed to support agentic use cases
- Evaluate and validate AI agent outputs against business rules, audit requirements, and compliance standards
- Develop business-facing documentation and training materials to drive adoption of AI-assisted workflows
- Serve as a trusted advisor to business process owners and senior stakeholders across global regions
- Manage and communicate requirements traceability from business need through configuration, testing, and go-live
- Proactively identify and escalate risks, issues, and scope changes with clear impact assessments and mitigation recommendations
- Operate effectively in an agile/hybrid delivery environment, contributing to sprint planning, backlog grooming, and PI planning ceremonies as applicable
Requirements:
- 10+ years of experience as a Business Analyst
- SAP knowledge
- Experience in pharmaceutical, medical technology, or medical device companies or huge enterprises like Fortune 150/500
- Recent SAP and digital supply chain experience
- Experience with Agentic AI is a huge plus
- Lead end-to-end analysis of current-state transactional processes across finance, supply chain, procurement, manufacturing, and/or HR domains
- Facilitate structured process workshops with global business stakeholders
- Document detailed business requirements, process flows, data mappings, and functional specifications using industry-standard methodologies (BPMN, use case modeling, user stories)
- Drive fit-gap analysis between existing processes and SAP standard configurations
- Partner with SAP functional architects and configuration teams
- Support UAT planning and execution
- Participate in data migration planning
- Contribute to change impact assessments and training content
- Identify, prioritize, and document automation and AI augmentation opportunities
- Define business requirements and acceptance criteria for Agentic AI workflows
- Collaborate with data engineering and AI platform teams
- Evaluate and validate AI agent outputs against business rules, audit requirements, and compliance standards
- Develop business-facing documentation and training materials
- Serve as a trusted advisor to business process owners and senior stakeholders
- Manage and communicate requirements traceability
- Proactively identify and escalate risks, issues, and scope changes
- Operate effectively in an agile/hybrid delivery environment
- Candidates with recent local projects highly preferred
- Candidates must have good tenure and/or long projects