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

Getinge•Philadelphia, PA

3d•$187,000 - $230,000•Remote

About The Position

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.

Requirements

Master's Degree in relevant field (e.g. Supply Chain Management, Engineering, Computer Science, Information Systems, Artificial Intelligence) or equivalent combination of education and experience
A minimum of 15 years of experience within Supply Chain Management, e.g. Planning & Customer Operations, S&OP/IBP
Experience of Digital Transformation, Advanced Analytics, Artificial Intelligence / Machine Learning, Business Process Excellence and Strategy Execution
Demonstrated experience in driving complex cross-functional transformation programs, translating technology opportunities into measurable business value and leading initiatives involving AI, analytics, automation, or digital innovation
Influencing executive stakeholders without formal authority
Delivering measurable improvements in operational performance
Experience within global and matrix organizations
Experience within regulated industries such as MedTech, Life Sciences, Pharmaceutical, or Manufacturing environments
Ability to travel 20% of the time
Strategic Thinking
Commercial Acumen
Stakeholder Management
Executive Communication
Change Leadership
Problem Solving
Strategic Prioritization
Influencing Skills
Artificial Intelligence and Generative AI
Machine Learning Concepts
Advanced Analytics
Business Intelligence and Data Visualization
Process Transformation
Digital Strategy and Innovation
Supply Chain Processes and Operating Models
Microsoft Office Suite

Responsibilities

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.
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.
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.
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.
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 customer service.
Working with other experts, increase AI literacy and digital capability across the Supply Chain organization.
Develop practical frameworks, playbooks, and best practices for AI adoption.
Facilitate training sessions, workshops, and knowledge-sharing activities.
Act as a trusted advisor to leaders and teams on AI opportunities and implementation approaches.
Collaborate with IT, Digital, Data & Analytics teams to ensure alignment with enterprise architecture, governance standards, and technology strategies.
Support the evaluation and selection of AI platforms, tools, and external partners.
Ensure compliance with security, quality, data governance, and regulatory requirements.
Monitor developments in Artificial Intelligence, advanced analytics, planning technologies, and Supply Chain innovation.
Assess emerging technologies and business applications relevant to Supply Chain.
Build relationships with external technology providers, industry experts, and innovation partners.
Introduce external best practices that enhance Supply Chain performance and capabilities.
Act as a change leader for AI and digital transformation initiatives.
Guide teams through both the technical and organizational aspects of AI adoption.
Build engagement, confidence, and sponsorship among leaders and stakeholders.
Foster a culture of innovation, experimentation, continuous learning, and measurable outcomes.