Director, Enterprise AI Automation & Transformation

Role Overview

The Director, AI Automation is a business-facing leadership role responsible for building and leading WAI’s enterprise AI automation capability. The role leads the business side of a business-led, IT-governed operating model, partnering with functional leaders, IT, data and security stakeholders, AI platform resources, offshore engineers, vendors, and business users to deliver practical AI-enabled workflows that improve productivity, quality, speed, decision-making, customer experience, and employee experience.

What You Will Do

Lead WAI’s AI automation program, including use-case intake, prioritization, roadmap development, governance routines, adoption planning, and ROI tracking. Partner with leaders across Finance, Customer Service, Supply Chain, Sales Support, Operations, HR, Product/Catalog, Shared Services, and other functions to identify high-value AI and automation opportunities.

Why It Might Be a Fit

The ideal candidate will have 10+ years of experience in business transformation, process improvement, operations, automation, product management, consulting, enterprise technology-enabled change, or related work, with demonstrated experience leading or scaling AI-enabled automation initiatives in an enterprise environment.

Requirements

• Bachelor’s degree in Business Administration, Operations, Engineering, Information Systems, Computer Science, Data Analytics, or a related field
• 10+ years of experience in business transformation, process improvement, operations, automation, product management, consulting, enterprise technology-enabled change, or related work
• Demonstrated experience leading or scaling AI-enabled automation, intelligent workflow, or agentic AI initiatives in an enterprise environment
• Experience leading cross-functional initiatives with senior business stakeholders and measurable operational outcomes
• Experience building or scaling a new capability, program office, transformation function, automation program, digital initiative, or enterprise productivity program
• Experience with broader workflow automation, digital transformation, and enterprise productivity tooling
• Experience coordinating technical teams, IT partners, vendors, offshore/remote delivery resources, or implementation partners
• Experience in automotive aftermarket, manufacturing, distribution, retail, shared services, supply chain, finance, or other operationally complex businesses

Tagged as: Data Analysis