Senior Director, AI & Supply Chain Transformation (Remote, US) (Philadelphia, PA

With a passion for life

Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers – and to save more lives, we need team players, forward thinkers, and game changers.

Are you looking for an inspiring career? You just found it.
Job Overview

The Senior Director, AI & Supply Chain Transformation is responsible for accelerating AI-enabled transformation across the global Supply Chain organization.

The role partners with leaders across Planning, Customer Operations, Logistics, Manufacturing, Procurement, and IT to identify, prioritize, and implement high-impact opportunities that improve business performance through Artificial Intelligence, advanced analytics, and digital technologies.

With a focus on areas such as demand planning, supply planning, S&OP/IBP, inventory management, customer operations, and fulfillment, the role helps build the future capabilities, processes, and decision-making frameworks required to create a more connected, predictive, and data-driven Supply Chain organization.

The position will report to the Vice President Manufacturing and Supply Chain.
Job Responsibilities and Essential Duties

Lead the Supply Chain AI Transformation Agenda

- Drive and accelerate AI-enabled transformation across the global Supply Chain organization.

- Develop and maintain a prioritized roadmap of AI opportunities aligned with business strategy and operational priorities.

- Ensure AI initiatives focus on solving meaningful business challenges and delivering measurable value.

- Promote practical, business-oriented adoption of AI technologies, analytics, and automation.

Identify and Prioritize High-Impact Use Cases

- Partner with Supply Chain leaders to identify opportunities for AI-enabled business improvement.

- Evaluate opportunities based on strategic value, scalability, business impact, and implementation feasibility.

- Develop and manage a portfolio of prioritized initiatives.

- Support leadership decision-making regarding investment priorities and resource allocation.

Examples may include: Demand forecasting, Supply planning optimization, Inventory management
- S&OP / IBP decision support, Customer service and fulfillment, Logistics visibility and performance, Procurement analytics, Knowledge management, Predictive risk monitoring, Productivity and process automation

Drive AI-Enabled Supply Chain Transformation

- Partner with Supply Chain leaders to transform planning, customer operations, logistics, procurement, and operational processes through AI and advanced analytics.

- Support the evolution of future-state capabilities across:

- Demand Planning

- Supply Planning

- Inventory Management

- S&OP / IBP

- Customer Operations

- Order Fulfillment

- Logistics Planning and Execution

- Establish innovative approaches that improve forecasting quality, inventory performance, customer experience, service levels, and operational efficiency.

- Help develop modern, data-driven operating models and decision-making processes across Supply Chain.

Pilot, Measure and Scale

- Design and lead rapid pilot initiatives to validate AI use cases.

- Define success criteria, KPIs, and expected business outcomes.

- Measure performance and make recommendations regarding expansion, refinement, or discontinuation.

- Scale successful solutions across the broader Supply Chain organization.

Advanced Analytics and Decision Intelligence

- Promote data-driven decision making and advanced analytical capabilities.

- Apply AI, machine learning, predictive analytics, and scenario modelling techniques to improve operational and strategic decision-making.

- Support the development of business insights and decision-support frameworks.

- Improve the organization’s ability to anticipate demand, manage risk, optimize inventory, and enhance cu