Senior Manager, Inventory Management

Job Title: Senior Manager, Inventory Management Company: Caterpillar Job Category: Machine Learning Roles & Responsibilities: Role Definition Leads the global aftermarket New Product Introduction Authorizations (NPI) and end of parts lifecycle strategy to ensure parts readiness, material availability, and continuity of product support. Develops and implements data\-driven supply chain strategies leveraging advanced analytics and machine learning to anticipate demand, mitigate risk, optimize lifecycle decisions, supporting customer back approach and profitable growth. Responsibilities * Developing and executing the global aftermarket NPI and lifecycle strategy, aligning parts readiness, availability, inventory, and transition priorities with business growth, customer, and operational objectives. * Managing global NPI Parts Readiness and Parts Availability, ensuring timely material support for new product launches and aftermarket requirements while proactively identifying and mitigating supply chain risks. * Leveraging advanced analytics, predictive forecasting, and machine learning to improve demand visibility, parts planning, inventory positioning, risk identification, and decision\-making across NPI and product lifecycle activities. * Directing end\-of\-life lifecycle management and Parts Disposition, balancing customer support requirements, inventory investment, obsolescence risk, and financial impact. * Managing part, supplier, engineering, and BOD changes through structured transition strategies to ensure seamless change implementation, supply continuity, and uninterrupted aftermarket product support. * Leading Quality Disposition activities to address supplier quality issues, accelerate cross\-functional resolution, and safeguard material availability and customer commitments. * Establishing performance metrics, analytics, and governance mechanisms to monitor NPI readiness, forecast accuracy, parts availability, lifecycle transitions, inventory exposure, and supply chain risk; translating insights into actions and strategic recommendations. * Leading cross\-functional collaboration across engineering, procurement, suppliers, logistics, facilities, and product teams to accelerate NPI execution, strengthen lifecycle management, and deliver sustainable improvements supporting operational excellence and profitable growth. Inventory Management: Knowledge of processes and methods of inventory management; ability to effectively manage local or distributed inventories of raw materials, work\-in\-progress and finished goods. Planning and Organizing: Knowledge of the process of planning and arranging tasks and resources; ability to plan and organize both time and resources to get things completed while structuring and maintaining work in a systematic and highly methodical way. Supply Chain Management: Knowledge of functions, principles and techniques used in supply chain management; ability to develop and use, strategies, practices and tools for controlling the logistical processes. Cross\-Team Integration: Understanding of the importance of inter\-team collaboration in breaking down silos and achieving business results; ability to lead employees from various functions to communicate, coordinate work across divisions, and collaborate in solving problems as one team. Project Management: Knowledge of effective project management strategies and tactics; ability to plan, organize, monitor, and control projects, ensuring efficient utilization of technical and administrative resources to achieve project objectives. Strategic Thinking: Knowledge of the importance of "big picture" thinking and planning; ability to apply organizational acumen and competitiveness to identify and maintain focus on key success factors for the organization. Work Location: Karnataka, India Availability: Full time

Degree Requirement Degree or equivalent experience desired, APICS CSCP/CPIM certification will be an added advantage Distribution Requirements Planning (DRP): Knowledge of the process, issues and considerations for systematically managing distribution of inventory for multiple plants or warehouses; ability to apply related knowledge and experience in real practice. Forecasting: Knowledge of forecasting tools, approaches and practices; ability to determine product demand and estimate production requirements and loads. Key Skills: Machine Learning Salary: Not disclosed