Head of CoE Digital & AI - North America

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now and together we will make the world a brighter place.

The Head of CoE Digital & AI - North America (Canada, USA, Mexico) will lead and develop the North America (NA) Centre of Excellence for Digital & AI (COE DAI) within Covestro's Supply Chain & Logistics global organization, covering Canada, USA, and Mexico. They will drive regional DAI performance, program delivery, and stakeholder adoption to accelerate the digital and autonomous supply chain transformation across the NA region. This position reports directly to the Head of Global COE Digital & AI.

Major Tasks and Responsibilities

• Drive DAI KPI performance

across the NA region by monitoring and steering key metrics - including digital and AI tool adoption rates, efficiency gains, process automation coverage, and autonomous supply chain maturity levels - to ensure measurable and sustained progress toward global COE DAI targets. •

by prioritizing initiatives, allocating resources, overseeing project governance, and ensuring delivery within approved budgets and timelines to maximize return on digital investment.

Basic Qualifications

• Bachelor's degree in Supply Chain Management, Industrial Engineering, Data Science, Computer Science, Business Administration, or a related field with 8+ years of experience in supply chain, logistics, or operations.
• 5+ years in a leadership or program management role

• Master's degree
• PMP or equivalent

Knowledge and Skills

Leadership and Management:

• Demonstrated experience leading cross-functional teams and managing direct reports in a matrix organization.
• Proven track record in digital transformation, AI/analytics program delivery, or supply chain technology implementation.
• Experience working in a regional or global Centre of Excellence or similar function is an advantage.
• Strong people leadership, team development, and performance management capability.
• Ability to be held accountable: takes clear ownership of regional outcomes, KPI commitments, and team delivery; holds self and team to high standards with transparent progress tracking and escalation discipline.
• Excellent stakeholder management and executive communication skills across cultures and geographies.
• Structured program and project management skills

Supply Chain Domain:

• In-depth supply chain and logistics knowledge across end-to-end SC processes - planning, order management, fulfilment, integrated logistics, and network strategy.
• Familiarity with supply chain resilience frameworks and scenario-based planning.

Digital, AI & Technical:

• Strong conceptual and applied understanding of Digital & AI technologies: including cloud-based solution architecture, data engineering principles, AI/ML application design, generative AI, agentic AI frameworks, and process automation - sufficient to credibly lead technical teams, evaluate solution proposals, and make informed architectural decisions without being a hands-on engineer.
• Ability to bridge business and technology: translate supply chain operational needs into digital solution requirements, and hold technical conversations with data scientists, engineers, and architects at a substantive level.
• Familiarity with analytics and BI platforms, data product thinking, and automation tooling (RPA, workflow automation, event-driven processes).
• Prior exposure to cloud environments (AWS, Azure, or GCP) at a solution governance or program oversight level is expected; hands-on engineering experience is a plus but not required.

#LI-JV1