[E] SaasImplementationLead-6
Pubblicato il 27-09-2026 - Altro in Milano
As a Finance SaaS Implementation Lead you act as a bridge between business objectives and technical implementation for the Enterprise Resource Planning (ERP) software application and integration systems of the organization. You gather, document, analyze, and configure requirements from stakeholders and effectively communicate them to the engineering teams. You research and propose new configuration solutions to stakeholder needs. You ensure implementation meets business requirements, quality standards, and drive a positive end-user experience.
Key Responsibilities
Collaborate with stakeholders to gather requirements for new features or improvement to Enterprise Resource Planning (ERP)
Document requirements, perform system configuration and communicate them effectively
Research and build configuration proposals in the assigned Enterprise Resource Planning (ERP) Finance modules
Ensure that implementation features meet the specified requirements and are of high quality
Lead releases for new functionalities according to the business needs
Qualifications and Competencies
3-5 years of experience as a business analyst for a technical function or equivalent
Bachelor's degree in Computer Science, Information Science or related field
Business Analysis certification is desired
Workday certification is mandatory
Advanced English level (C1 in oral and written)
Expert skills in gathering, analyzing and documenting requirements from stakeholders, ensuring the SaaS configuration meets user needs and business objectives
Robust understanding of technical and financial concepts. Focus on Foundation Data Model, Financial Accounting or Business Assets
Ability to identify problems, propose holistic solutions, and make decisions based on data analysis
Strong expertise in assigned SaaS platform (2-3 products)
Understanding of Project Management methodologies
Ability to solve complex problems; take a new perspective on existing solutions; exercises judgment based on the analysis of multiple