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Open nowPosted 6 days ago

Head of CoE Digital & AI - North America

covestro50 open roles

Where
Pittsburgh, PA
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Your applicationOpen nowHead of CoE Digital & AI - North Americacovestro · Pittsburgh, PA

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. covestro postings stay open a median of 15 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 6 days ago

covestro median: 15 days open

The posting

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.
  • Lead and sponsor regional DAI programs and projects by acting as project sponsor or program lead for NA-initiated initiatives (e.g., Process Automation Platform, regional analytics deployments), and as regional oversight and escalation point for global initiatives (e.g., Covestro Supply Chain Assistant, Supply Chain & Commercial Analytics & Intelligence Platform, Customer Frontend Platform), ensuring regional adoption milestones and delivery quality are achieved.
  • Engage and align regional stakeholders through structured communication plans, capability-building workshops, training programs, and feedback loops to embed DAI solutions into supply chain operations and build lasting digital literacy across the NA organization.
  • Direct and develop the NA COE DAI team of 7 direct reports (data scientists, project managers, analysts, and data engineers) by setting clear objectives, managing performance, and fostering a high-performance and innovation-oriented team culture aligned with global COE DAI strategy.
  • Coordinate cross-regional COE DAI extended teams on subject-matter topics — particularly KPI governance, methodology alignment, and global initiative contributions — to ensure consistency, knowledge sharing, and coherent execution across regions.
  • Manage the NA COE DAI project portfolio and budget 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

Preferred Qualifications

  • 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

YOUR APPLICATION

Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now!

Equal Employment Opportunity: Hiring and advancement are based on job-related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law.

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