Director, Artificial Intelligence (AI

Benefits: Medical, dental, vision, 401k, flexible spending account, paid sick leave and paid time off, parental leave, quarterly performance bonus, training, career growth and education reimbursement programs.

Ziply Fiber is a local internet service provider dedicated to elevating the connected livesof the communities we serve. We offer the fastest home internet in the nation, arefreshingly great customer experience,andaffordableplans that putcustomersin charge.

As ourstate-of-the-artfiber network expands, so does our need for team members who can help us grow and realize our goals.

• Genuinely Caring: We treat customers and colleagues like neighbors, with empathy and full attention.
• Empowering You: We help customers choose whatisbest for them,andwesupport employees in implementing new ideasand solutions.
• Innovation and Improvement: We constantly seek ways to improve how we serve customers and each other.
• Earning Your Trust: We build trust through clear, honest,human communication.

Ziply Fiber is seeking a Director of Artificial Intelligence (AI) with telecom/ISP domain expertise to lead the company’s AI vision, roadmap, and execution with a strong emphasis on hands‑on delivery and measurable business outcomes. This leader will build and scale AI capabilities that improve customer experience, streamline operations, and enhance network performance across the enterprise.

This role is ideal for a highly technical and pragmatic leader who can personally engage in solution design, experimentation, vendor evaluation, and implementation while also leading cross‑functional teams. The Director will focus on reducing churn, lowering customer complaints, reducing avoidable dispatches, and delivering automation across Customer Care, Field Services, Dispatch Centers, IVR, Digital Channels, and Network Automation.

Success in this role requires balancing innovation, speed, governance, and business value while establishing AI as a strategic differentiator for Ziply Fiber. The Director will help move the organization from isolated pilots to scalable, production‑grade AI solutions that deliver tangible impact for customers, employees, and network operations.

Success in this role will be measured by the ability to deliver measurable business outcomes and scale AI capabilities across the enterprise, including:

• Deployment and adoption of high‑impact AI use cases across customer care, field services, dispatch, digital channels, IVR, and network operations.
• Measurable reductions in churn, customer complaints, repeat contacts, and unnecessary dispatches.
• Improvements in customer experience, operational efficiency, first‑contact resolution, and network performance.
• Establishment of a scalable, governed AI ecosystem that enables sustained innovation and business value.

The Essential Duties and Responsibilities listed below are a range of duties performed by the employee and not intended to reflect all duties performed.

• Define and lead Ziply Fiber’s enterprise AI strategy and roadmap, aligned to business priorities and digital transformation goals.
• Establish a centralized AI operating model that reduces fragmentation and accelerates enterprise‑wide adoption.
• Partner with executive leadership to identify, prioritize, and sequence high‑impact AI use cases with measurable business outcomes.
• Act as a hands‑on leader who can move from strategy to prototype to production with urgency and discipline.

• Lead the design, development, and deployment of scalable AI and machine learning solutions across customer care, field services, dispatch centers, IVR, digital channels, and network operations.
• Develop AI‑driven capabilities that reduce churn, lower complaint volumes, improve first‑contact resolution, and reduce avoidable truck rolls and dispatches.
• Drive automation use cases such as agent assist, intelligent routing, conversational AI, digital self‑service, predictive dispatching, workforce recommendations, and network event correlation.
• Own end‑to‑end execution from ideation through production deployment, performance monitoring, and…