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 customer service.

AI Capability Building and Enablement

• 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.

Partner with IT and Digital Teams

• 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.

Innovation and External Benchmarking

• 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.

Influence and Change Leadership

• 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.

Required Knowledge, Skills, and Abilities

• 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

Business Competencies:

• Strategic Thinking
• Commercial Acumen
• Stakeholder Management
• Executive Communication
• Change Leadership
• Problem Solving
• Strategic Prioritization
• Influencing Skills

Technical Competencies:

• 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

The base salary for the position is a minimum of $187,000.00 and a maximum of $230,000.00 plus an annual bonus of 35% + Vehicle plan eligibility

About us 

With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries.  

Benefits at Getinge:

At Getinge, we offer a comprehensive benefits package, which includes:

• Health, Dental, and Vision insurance benefits
• 401k plan with company match
• Paid Time Off
• Wellness initiative & Health Assistance Resources
• Life Insurance
• Short and Long Term Disability Benefits
• Health and Dependent Care Flexible Spending Accounts
• Commuter Benefits
• Parental and Caregiver Leave
• Tuition Reimbursement

Getinge is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, disability, protected veteran status or any other characteristic protected by law. Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.

Originally posted on Himalayas