Oracle Implementation Lead
Leads Oracle Cloud Supply Chain implementation across key modules, then transitions to Oracle system administration and material planning. The role requires ERP implementation experience, supply chain operations knowledge, and the ability to translate business requirements into system configurations.
About the job
Responsibilities
Implementation Phase (First 6–12 Months)
- Lead Oracle Cloud Supply Chain implementation workstreams, including Inventory, Procurement, Order Management, and Planning modules.
- Collaborate with Oracle consultants to translate business requirements into system configurations.
- Develop and execute testing plans, including user acceptance testing (UAT).
- Train end users and create documentation for ongoing reference.
- Identify process improvements and embed them into system design.
Post-Go-Live Phase
- Administer the Oracle system, including user access, configurations, and troubleshooting.
- Maintain data integrity and accurate material-planning inputs.
- Provide supply chain reporting, dashboards, and analytics support.
- Manage material planning activities, including demand forecasting, inventory optimization, and supplier coordination.
- Continuously improve system usage and supply chain processes based on performance metrics and user feedback.
Requirements
- Proven experience in supply chain operations, ideally with ERP systems; Oracle Cloud experience strongly preferred.
- Hands-on involvement in at least one ERP implementation focused on supply chain modules.
- Strong understanding of material planning, inventory management, and procurement processes.
- Ability to translate operational needs into system configurations and workflows.
- Excellent communication skills across technical teams, executives, and frontline users.
- Analytical problem-solving and process-improvement capabilities.
Skills
Oracle Cloud, ERP, Supply Chain, Inventory Management, Procurement, Order Management, Material Planning, Demand Forecasting, User Acceptance Testing, System Administration, Data Analytics, Process Improvement
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