Director, AI Strategy & Enablement

Job Description

Job Description

Overview

At Ezee Fiber, our success is built on delivering Speed, Simplicity, and Service in everything we do. Guided by our core values of Integrity, Compassion, Accountability, and Collaboration , we empower our employees to do the right thing, support one another, take ownership of their work, and work together to deliver exceptional experiences for our customers and the communities we serve.

Responsibilities

As Director of AI Enablement & Strategy, you will own Ezee Fiber's enterprise AI program end to end. This is a high-visibility, high-impact role that touches every functional group in the company. You will design the systems, run the training, deploy the workflows, and prove the value. The person who does this job well will define how AI is used at Ezee Fiber for years to come.

Qualifications

• Own and administer Ezee Fiber's Claude Enterprise environment—seat management, usage monitoring, and vendor relationship with Anthropic.
• Build and maintain a company-wide prompt library and reusable workflow templates for each department.
• Partner with department heads to identify, prioritize, and deploy AI use cases across all 16 functional groups.
• Design and deliver AI training programs for team leads, managers, and department heads.
• Recruit, develop, and support an AI Champions network that drives grassroots adoption.
• Maintain AI usage policies in partnership with IT and legal; ensure CPNI, PII, and data security compliance.
• Define KPIs for every AI initiative and report quarterly to senior leadership on business impact.
• Monitor the LLM market and recommend new capabilities before competitors adopt them.
• Build scheduled AI automations and agent-based tasks that reduce manual overhead across operations and finance.
• Serve as the internal AI expert resource for the C-suite.
• Track and report key milestones, project risks, operational performance, and KPIs to senior leadership.
• Conduct data analysis and operational reviews to improve forecasting and delivery predictability.