AI Transformation Strategist

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? A NiCE AI Transformation Strategist sits at the intersection of enterprise strategy and hands-on AI agent delivery. You will primarily engage at the VP and Director level — with CX, Operations, Technology, and Digital leaders — to define transformation priorities and drive execution, while maintaining the executive fluency to contribute credibly in C-suite conversations when required. This is not a narrowly specialized role. You are expected to move fluidly between strategic advisory and agent development, combining structured problem-solving, conversational design, and customer insight to drive transformation from the program office to the build environment. Core mandate: Partner with VP and Director-level leaders across CX, Operations, and Technology to define and execute AI-first transformation programs while directly building the agentic experiences that make that transformation real, leveraging NiCE's full platform to automate service, augment the workforce, and deliver intelligent experiences at enterprise scale. How will you make an impact? Strategic Advisory & Transformation Planning Engage primarily at the VP and Director level — across CX, Operations, Technology, and Digital functions — to define transformation priorities, align on approach, and drive program execution Build and maintain credibility with C-suite stakeholders when required, contributing to executive conversations with clarity and commercial rigor Define AI transformation roadmaps that connect agentic automation strategy to measurable business outcomes including cost efficiency, service quality, and operational scale Structure ambiguous business challenges into clear problem statements, workstreams, hypotheses, and recommendations that program owners can act on Facilitate alignment workshops, stakeholder interviews, and working sessions to gather input, challenge assumptions, and drive cross-functional agreement Develop business cases, transformation roadmaps, and senior-level materials that support high-stakes program decisions Contribute data-driven, strategic insights to customers and internal team decisions Contribute to NiCE's consulting IP, briefing materials, AI transformation playbooks, and vertical-specific accelerators Agent Development & Delivery Partner with Agent Product Managers and Agent Engineers to scope, build, and ship conversational AI agents that handle thousands of customer conversations a day Design, build, and iteratively refine conversational AI agents from inception through deployment, combining product strategy with deep customer insight Drive execution and delivery of multiple complex, high-visibility agent development projects with clear milestones, owners, dependencies, and success metrics Coordinate across technical and non-technical stakeholders through the full agent development lifecycle Translate strategic transformation goals into agent architecture decisions and conversational design choices Architect the shift from traditional interaction management to fully orchestrated, AI-agentic workflows spanning front and back office Change Enablement & Execution Design and execute change management programs focused on people, process, technology, and organizational structure at enterprise scale Lead cloud migration strategy from on-premises contact center environments to NiCE CXone, mapping routing logic, agent states, reporting, and terminology Identify risks, interdependencies, and barriers to execution and recommend actions to improve delivery and adoption Translate strategic goals into execution plans and ensure clear communication across all stakeholders while developing strong, lasting relationships AI strategy and agentic transformation: defining the enterprise vision for human-AI orchestration at scale Conversational AI agent development: scoping, designing, building, and iterating on AI agents across voice, digital, and async channels CX strategy and customer journey redesign from full automation of routine intent to complex end-to-end fulfillment Workforce augmentation: equipping employees with real-time AI intelligence to elevate performance and decision-making Cloud transformation and o