OPEN : Finance Modernization Workstream Lead

Job Overview

• End-to-End Leadership : Lead the Finance workstream through all phases of the SAP S / 4HANA implementation lifecycle, from initial planning and requirements gathering to go-live and post-implementation support.
• Stakeholder Engagement : Serve as the key liaison between finance business stakeholders, the system integrator, and project teams, ensuring clear communication and alignment on business needs and priorities.
• Business Process Design : Facilitate workshops and meetings to define, document, and optimize finance and accounting business processes, ensuring alignment with S / 4HANA best practices and organizational objectives.
• Hands-On Data Activities : Actively participate in finance data preparation, cleansing, migration, validation, and reconciliation to ensure data quality and integrity.
• Testing & Quality Assurance : Develop and execute test plans, lead business process and user acceptance testing, and ensure timely resolution of defects and issues.
• Training & Change Management : Build training materials and deliver hands-on training sessions for finance users. Support change management efforts to drive user adoption and readiness.
• Cross-Functional Coordination : Work closely with other business and IT teams to ensure seamless integration of finance processes with related functions.
• Project Delivery : Manage workstream deliverables, timelines, risks, and issues, providing regular updates to project leadership and proactively resolving challenges.
• Compliance & Controls : Ensure all finance processes and deliverables comply with internal controls, regulatory requirements, and company policies.
• Cutover & Hypercare Support : Provide hands-on support during cutover, go-live, and hypercare phases, troubleshooting issues and ensuring a smooth transition to new ways of working.

Qualifications

CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.

AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.

CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.