Director, Enterprise AI Automation & Transformation

Description

Since 1978, WAI has grown from an entrepreneurial start-up into a global aftermarket leader headquartered in South Florida. Nearly five decades of product knowledge, customer trust, and operational scale now support an ambitious growth agenda across distribution, manufacturing, product, customer, supply chain, and shared-service operations.

That scale creates a meaningful opportunity for practical enterprise AI. WAI is investing in AI, automation, data, and digital capabilities that can improve how work gets done: reducing manual effort, increasing speed and quality, strengthening decision‑making, and helping teams serve customers more effectively.

WAI is creating new enterprise AI capability focused on practical business impact: improving workflows, reducing manual effort, increasing speed and quality, supporting better decisions, and helping teams use AI‑enabled tools responsibly.

The Director, Enterprise AI Automation & Transformation will be the business‑facing leader responsible for building this capability from the ground up. This role leads the business side of a business‑led, IT‑governed operating model, shaping how WAI identifies, prioritizes, launches, governs, adopts, and measures AI‑enabled use cases across business functions.

In this role, you will help WAI move from AI interest to AI operating discipline. You will build the repeatable model for finding the right opportunities, designing practical solutions, partnering with IT and technical resources, enabling business teams, and proving value through productivity, quality, speed, service, cost avoidance, and employee or customer experience improvements.

This is not a research lab role, a generic AI innovation role, or a pure platform engineering role. It is a hands‑on enterprise transformation role for someone who wants to turn AI, automation, workflow redesign, and operating discipline into measurable business outcomes.

You will help define how WAI works with AI, not just which tools it uses.

AI will create the most value at WAI when it is connected to real workflows, trusted data, clear controls, strong adoption, and measurable results.

In this role, you will help WAI move from AI interest to AI operating discipline. You will build the repeatable model for finding the right opportunities, designing practical solutions, partnering with IT and technical resources, enabling business teams, and proving value through productivity, quality, speed, service, cost avoidance, and employee or customer experience improvements.

Lead WAI’s enterprise AI program, including use‑case intake, prioritization, roadmap development, governance routines, adoption planning, and ROI tracking.

Partner with leaders and process owners across functions such as Finance, Customer Service, Supply Chain, Sales Support, Operations, HR, Product/Catalog, Shared Services, and other areas to identify high‑value AI and automation opportunities.

Lead discovery workshops, process reviews, and current‑state / future‑state workflow design sessions with business teams. Translate ambiguous business problems into clear use cases, requirements, controls, success metrics, and implementation plans.

Work closely with IT, data, security, AI platform resources, vendors, offshore or remote technical resources, and business users to ensure solutions are practical, secure, supportable, documented, and aligned with enterprise standards.

Define business requirements, acceptance criteria, approval steps, escalation paths, human‑in‑the‑loop expectations, testing expectations, adoption plans, and benefit measurement for approved automations.

Support AI literacy, power‑user enablement, training, change management, and adoption so teams can identify, use, and sustain AI‑enabled workflows responsibly.

Track adoption, performance, quality, productivity impact, cost avoidance, service improvement, and realized ROI for deployed solutions.

You will build the operating model for enterprise AI adoption at WAI, including use‑case intake and prioritization, value and feasibility scoring, process readiness criteria,…