Head of CoE Digital & AI - North America

Covestro•Pittsburgh, PA

About The Position

The Head of CoE Digital & AI - North America leads and develops Covestro’s North America Centre of Excellence for Digital & AI within the global Supply Chain & Logistics organization, covering Canada, the USA, and Mexico. The role drives regional digital and AI performance, program delivery, and stakeholder adoption to accelerate digital and autonomous supply chain transformation. It reports directly to the Head of Global COE Digital & AI. The position leads a team of seven direct reports, oversees the regional DAI project portfolio and budget, and coordinates with global and cross-regional teams. It requires supply chain and logistics expertise, strong program and people leadership, and the ability to guide digital, AI, analytics, and automation initiatives without serving as a hands-on engineer.

Requirements

  • Bachelor’s degree in Supply Chain Management, Industrial Engineering, Data Science, Computer Science, Business Administration, or a related field, with at least 8 years of experience in supply chain, logistics, or operations.
  • At least 5 years in a leadership or program management role.
  • 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.
  • Strong people leadership, team development, and performance management capabilities.
  • Ability to take ownership of regional outcomes, KPI commitments, and team delivery, with transparent progress tracking and escalation discipline.
  • Excellent stakeholder management and executive communication skills across cultures and geographies.
  • Structured program and project management skills.
  • In-depth supply chain and logistics knowledge across end-to-end processes, including planning, order management, fulfilment, integrated logistics, and network strategy.
  • Familiarity with supply chain resilience frameworks and scenario-based planning.
  • Strong conceptual and applied understanding of digital and AI technologies, including cloud-based solution architecture, data engineering principles, AI/ML application design, generative AI, agentic AI frameworks, and process automation, sufficient to lead technical teams and assess solutions without hands-on engineering.
  • Ability to translate supply chain operational needs into digital solution requirements and hold substantive technical discussions with data scientists, engineers, and architects.
  • Familiarity with analytics and BI platforms, data product thinking, and automation tooling such as RPA, workflow automation, and event-driven processes.
  • Prior exposure to AWS, Azure, or GCP at a solution governance or program oversight level.

Nice To Haves

  • Master’s degree.
  • PMP or equivalent certification.
  • Experience working in a regional or global Centre of Excellence or similar function.
  • Hands-on cloud engineering experience.

Responsibilities

  • Drive regional DAI KPI performance, monitoring and steering metrics such as tool adoption, efficiency gains, process automation coverage, and autonomous supply chain maturity against global targets.
  • Sponsor or lead North America DAI programs and projects, and provide regional oversight and escalation for global initiatives, ensuring adoption milestones and delivery quality.
  • Engage and align regional stakeholders through communication plans, capability-building workshops, training, and feedback loops to embed DAI solutions and build digital literacy.
  • Direct and develop the North America COE DAI team of seven direct reports, setting objectives, managing performance, and fostering an innovation-oriented team culture aligned with global strategy.
  • Coordinate cross-regional COE DAI extended teams on KPI governance, methodology alignment, and contributions to global initiatives to support consistency and knowledge sharing.
  • Manage the North America COE DAI project portfolio and budget, including prioritization, resource allocation, project governance, and delivery within approved budgets and timelines.
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