Supply Chain Engineer (SAP, Maximo)

Responsibilities Develop and execute end-to-end procurement strategies for equipment spare parts to minimize inventory carrying costs and manage the disposition of obsolete or expired items. Understand the current spare parts procurement process (PO initiation, GRN, incoming inspection, receiving, stocking, inventory tracking, and SAP backflush) and integrate it with IBM Maximo for data accuracy and visibility. Cultivate and maintain strong vendor relationships to secure favourable pricing, timely delivery, and high-quality parts, including sourcing hard-to-find or non-stock parts. Recommend sourcing strategies for various materials, including consumables and hardware, based on business needs and real-time tracking solutions. Categorize spare parts based on consumption and business criticality (e.g., high usage, insurance parts, critical spares) and implement inventory management methodologies like Economic Order Quantity (EOQ), Reorder Point (ROP), and Min/Max algorithms to define optimal stock levels. Implement and maintain robust inventory control procedures to ensure data accuracy and optimal stock levels. Manage daily warehouse operations, including the receiving, issuing, and shipping of spare parts. Analyse inventory data, usage rates, and turnover to identify trends, forecast demand in collaboration with maintenance teams, and optimize stock levels. Monitor incoming and outgoing inventory shipments and resolve any logistical problems. Organize and label parts for easy identification and storage. Inspect incoming parts for quality and conformity to specifications before adding them to inventory. Conduct regular cycle counts and physical inventories to reconcile discrepancies and ensure data integrity. Ensure all inventory management activities adhere to safety standards and regulatory requirements, such as FDA guidelines for medical devices. Maintain accurate and detailed records of all inventory transactions for audit purposes. Generate and present regular reports to management on inventory status, consumption rates, and cost of sales. Develop dashboards to provide real-time inventory visibility and procurement status to stakeholders. Develop a Plan For Every Part (PFEP) template for spare parts and integrate it with existing systems like IBM Maximo to ensure data accuracy and consistency. Work with Onsite/ Offshore team and drive the Project. Working with help of SQL Database, Database Configuration, Maximo integration Framework Working closely with the client to understand their requirement, identify their pain points, and documents their business processes. Ensuring that Maximo Core Model (processes & rules) is well documented, evolves consistently and is not jeopardized by localization Inventory Management Following ABC Analysis, Monitoring Stock Levels Half-Yearly following FIFO & 5S rules increase productivity, reduce waste, and create cost-savings. CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract Equal Opportunity Employer CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract #J-18808-Ljbffr