Director Supply Chain Transformation & Artificial Intelligence

Are you looking for more?

At Mohawk Industries, we’re committed to more – more customer solutions, more process improvements, more sustainable manufacturing and more opportunities for our team.

As a Fortune 500, global flooring leader with some of the best-known brands in the industry, Mohawk is a great place to start or develop your career with an emphasis on more of what’s important to you. Whether you want to lead more, innovate more, learn more or create more, you can find your more with Mohawk.

What we need   The Director owns end-to-end delivery and project management of prioritized automation, analytics, and continuous-improvement initiatives; builds and sustains the BI, analytics, and reporting environment; designs KPIs and governance; and leads change management that guides teams toward new, digital-first ways of working across the Mohawk Supply Chain division.   In addition, the Director serves as the Supply Chain AI Liaison, reviewing, grouping, and prioritizing AI use cases submitted by business and IT leaders. The role identifies overlapping opportunities, assesses business value, and ensures alignment with enterprise AI strategy while avoiding duplication of effort. As a business domain expert, the Director promotes the reuse of shared tools, coaches teams on AI adoption, helps bridge skill gaps, and determines when initiatives require AI Innovation Board review for risk, funding, or strategic alignment.   This role also collaborates with delivery fusion teams to help oversee the successful execution of prioritized AI initiatives, ensuring outcomes align with expected value, enterprise standards, and adoption goals. Beyond enablement, the ideal leader is equal parts innovator, analyst, and change agent.   What you’ll do

Own end-to-end delivery of prioritized automation, analytics, and continuous-improvement initiatives, ensuring outcomes align with intended value, timelines, enterprise standards, and adoption goals. Lead project planning alongside IT for execution and governance across the Supply Chain ecosystem (e.g., chatbots, agent assist, predictive analytics, RPA, workflow automation), partnering with IT, Data Science, and vendor teams to monitor AI performance, accuracy, and ROI and drive continuous improvement. Build and maintain Supply Chain dashboards, reporting frameworks, and insight engines; translate complex data into actionable recommendations; and drive adoption of BI tools and data literacy across the Supply Chain organization. Partner with IT to support the design and execution of a Supply Chain continuous-improvement roadmap; identify process inefficiencies and pain points through data-driven analysis; facilitate root-cause and process-redesign workshops; and establish KPIs, dashboards, and governance to sustain improvements. Lead Supply Chain transformation and change management, communicating goals, progress, and outcomes to stakeholders at all levels and serving as a strategic advisor alongside IT to Supply Chain leadership on innovation, technology, and operational strategy. Review and manage AI use cases submitted through the Supply Chain AI intake process. Identify overlapping or related AI opportunities across business units and consolidate them into scalable, enterprise-level initiatives. Assess and articulate the business value, impact, and prioritization of AI use cases to support data-driven decision-making. Ensure AI initiatives align with enterprise AI strategy, architectural standards, and the adoption roadmap. Prevent duplication of effort by promoting the reuse of shared AI platforms, tools, data assets, and capabilities. Coach and mentor business and functional teams on responsible AI adoption, implementation best practices, and value realization. Identify organizational AI skill gaps and support enablement through guidance, learning pathways, and collaboration models. Evaluate AI use cases for risk, data sensitivity, and