Director of Digital Customer Experience & AI Innovation

Verizon Verizon · Telecom · Temple Terrace, FL +2

Director of Digital Customer Experience & AI Innovation at Verizon, responsible for driving digital customer experience transformation by leveraging AI/ML to create personalized, predictive, and proactive customer experiences for SaaS users. This role involves shifting engagement strategy to an AI-driven, tech-touch engine, scaling team capabilities, and focusing on high-value interactions. Key responsibilities include enterprise AI strategy, conversational design with Generative AI/LLMs, proactive engagement frameworks, process excellence, change management, and guiding the development of predictive customer health scoring models.

What you'd actually do

  1. Serve as the ultimate business authority for the end-to-end "Tech-Touch" customer journey, guiding the quantitative and qualitative analysis required to map the ideal state.
  2. Direct the CX strategy and business logic for the integration of Generative AI and LLMs into our customer journeys. Govern the strategic deployment of AI chatbots experience, ensuring the org-wide knowledge strategy resolves customer friction and maintains a premium brand tone.
  3. Lead cross-functional resources to build and deploy proactive digital interventions and "Next Best Action" frameworks that scale product adoption, enabling seamless self-service.
  4. Lead the organizational change management required to shift legacy teams to an AI-first customer engagement framework, guiding the enterprise through transformation and navigating organizational inertia.
  5. Guide the development of necessary predictive customer health scoring models, utilizing machine learning to identify and act on churn risk or expansion opportunities before they materialize.

Skills

Required

  • Bachelor's degree or four or more years of experience.
  • SaaS Digital Leadership: 8+ years in Customer Success, Marketing Ops, Sales Ops, or Digital CX, with at least 3 years in a leadership role within a SaaS environment.
  • AI/ML Fluency: Proven experience implementing AI solutions (e.g., Intercom Fin, Zendesk AI, or custom LLM integrations) to scale customer efficiency and satisfaction.
  • Executive Governance: Proven ability to act as the ultimate business owner for customer-facing autom

Nice to have

  • Direct the CX strategy and business logic for the integration of Generative AI and LLMs into our customer journeys.
  • Lead cross-functional resources to build and deploy proactive digital interventions and "Next Best Action" frameworks that scale product adoption, enabling seamless self-service.
  • Facilitate and govern complex, cross-functional design thinking workshops with senior stakeholders to fundamentally restructure and optimize the customer journey prior to automation.
  • Diagnose systemic, root-cause workflow inefficiencies across the enterprise and design scalable, tech-enabled processes to eliminate the customer and employee "Effort Tax."
  • Lead the organizational change management required to shift legacy teams to an AI-first customer engagement framework, guiding the enterprise through transformation and navigating organizational inertia.
  • Champion and govern the seamless integration of new digital tools, workflows, and AI interventions across our global Customer Success, Support, and Sales teams.
  • Serve as the ultimate CX executive proxy in cross-functional product and technology roadmap meetings.
  • Guide the development of necessary predictive customer health scoring models, utilizing machine learning to identify and act on churn risk or expansion opportunities before they materialize.
  • Partner directly with Data Engineering leadership to define CX business requirements for customer data, ensuring backend data models are "AI-ready" and capable of triggering intelligent customer interventions.
  • Translate complex "Big Data" sets (Salesforce, Gainsight, BI tools) into actionable, executive-level insights that drive org wide CX strategic decision-making at the VP/SVP level.
  • Lead, mentor, and elevate a high-performing Digital CX Engine.
  • Define departmental OKRs, manage enterprise resource allocation, and foster a culture of agile experimentation ("fail fast, iterate rapidly").

What the JD emphasized

  • AI/ML Fluency
  • Proven experience implementing AI solutions (e.g., Intercom Fin, Zendesk AI, or custom LLM integrations) to scale customer efficiency and satisfaction.
  • Executive Governance
  • Proven ability to act as the ultimate business owner for customer-facing autom

Other signals

  • Leverage Artificial Intelligence and Machine Learning to create a personalized, predictive, and proactive customer experience
  • Shift our customer engagement strategy toward an AI-driven, tech-touch engine
  • Direct the CX strategy and business logic for the integration of Generative AI and LLMs into our customer journeys
  • Guide the development of necessary predictive customer health scoring models, utilizing machine learning