Kerja Sepenuh Masa, SAP S2P Project Manager di RiDiK (a Subsidiary Of CLPS. Nasdaq: CLPS) Selangor - Maukerja

Role: SAP S2P Project Manager

EXP: 10+yrs

Location: Malaysia

Role Summary

Strong Program/Project Manager experience in S2P

S2P Transformation, Automation & AI will lead the architecture, design, and implementation of enterprise-scale technology solutions across the end-to-end Source-to-Pay ecosystem. This role combines deep Finance domain expertise spanning Procurement, Supplier Management, Accounts Payable, and Payments with enterprise architecture, intelligent automation, AI, and integration capabilities. The individual will drive Finance transformation through SAP, Ariba, UiPath, Microsoft Power Platform, Agentic AI, and enterprise integration technologies while partnering with Finance, Procurement, Shared Services, IT, and implementation teams to modernize business operations through intelligent automation, AI-enabled decision making, and scalable digital platforms.

Key Responsibilities

• Lead across SAP, Ariba, Procurement, Supplier Management, Accounts Payable, Payments, Agentic Automation, and Agentic platforms.

Required Qualifications

• 12+ years of experience in Source-to-Pay, Procurement, Accounts Payable, Finance Systems, Shared Services, or Finance Transformation.

• Strong understanding of Finance business processes including Procurement, Supplier Management, Accounts Payable, Payments, Controls, and Shared Services operations.

• Experience with SAP S/4HANA, SAP Ariba, ERP ecosystems, and Finance technology platforms.

• Experience designing scalable end-to-end enterprise and solution architectures.

• Strong stakeholder management, consulting, and executive communication skills.

Technical Expertise

• SAP S/4HANA, SAP Ariba, ERP integration architecture, and Finance technology ecosystems.

• UiPath Platform including Studio, Orchestrator, AI Center, Maestro, Integration Service, Apps, Agent Builder, Process Mining, and Document Understanding.

• Microsoft Power Platform, Copilot Studio, Microsoft 365 Copilot, and Azure AI Foundry.

• Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, and LLM adoption.

• LangChain, CrewAI, AutoGen, LangGraph, and modern agent orchestration technologies.

• Experience applying Generative AI and LLMs to Finance and business process transformation scenarios.

• Python, Java, SQL, REST APIs, and enterprise integration technologies.

• Snowflake, enterprise data platforms, analytics ecosystems, and AI-enabled data solutions.

• API Management, Event-Driven Architecture, Distributed Systems, Microservices, and Cloud-Native Design.

• Git, Docker, Kubernetes, Infrastructure as Code, DevOps, and CI/CD pipelines.

• Familiarity with Agent-to-Agent (A2A), Model Context Protocol (MCP), MLOps, LLMOps, and AI governance practices