EVP & Chief Technology Officer

Milliken & Company is a global manufacturing leader whose focus on materials science delivers tomorrow’s breakthroughs today. From industry-leading molecules to sustainable innovations, Milliken creates products that enhance people’s lives and deliver solutions for its customers and communities. Drawing on thousands of patents and a portfolio with applications across the textile, flooring, chemical and healthcare businesses, the company harnesses a shared sense of integrity and excellence to positively impact the world for generations. Discover more about Milliken’s curious minds and inspired solutions at Milliken.com and on Facebook, Instagram and  LinkedIn.

 

 

POSITION OVERVIEW

Milliken’s Chief Technology Officer will be a strategic enterprise leader who translates science, technology, and innovation into differentiated growth, stronger competitive advantage, and long-term value creation.  Reporting to the CEO, and based in the Spartanburg, SC area, the Executive Vice President and Chief Technology Officer (CTO) will partner with business leaders to lead and manage Research and Development talent and programs across the global enterprise.    

 

As a member of the Milliken Leadership Team, this leader will shape the company’s technology strategy, strengthen culture, and accelerate growth in alignment with Milliken’s values. This leader will be expected to navigate change and complexity, execute with excellence, and build enterprise alignment around the technologies, capabilities, and partnerships that support Milliken’s future. Milliken’s Chief Technology Officer will bring the strategic judgment, technical depth, and enterprise leadership needed to convert emerging science and technology into meaningful growth.

 

JOB RESPONSIBILITIES

• Enterprise innovation strategy: Create and communicate a long-term technology and innovation agenda that aligns with Milliken’s 2032 vision, Strategic Business Unit priorities, customer needs, and shareholder value creation. 

• AI-enabled innovation leadership: Understand and responsibly apply artificial intelligence, advanced analytics, machine learning, and digital tools to accelerate discovery, formulation, experimentation, scale-up, decision quality, and R&D productivity. 

• Data-driven decision making: Use internal and external data, market insight, customer intelligence, technical evidence, and financial analysis to make timely decisions, evaluate trade-offs, and prioritize the highest-value opportunities. 

• Portfolio and pipeline discipline: Lead disciplined portfolio management across the innovation lifecycle, including opportunity identification, project prioritization, stage-gate rigor, resource allocation, go/no-go decision supp