Senior Director, AI Transformation

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 is the role all about? This role owns NICE's AI adoption agenda internally — from identifying and prioritizing use cases across business functions to building investment cases and driving deployment. It operates in very close partnership with the CIO and functional VPs. Where the CIO owns the infrastructure and technical appro ach / build, this role owns the business case, the adoption layer, and the organizational change required to make AI stick. This is not a center of excellence role. It is not a research function. It is a senior operator who can sit in a room with engineering leaders and ask the right technical questions and sit in a room with the CFO and make the ROI case — often on the same day. How will you make an impact? Own the AI use case roadmap across functions — identifying, prioritizing, and building the business case for where AI creates the most value Partner closely with the CIO to ensure business priorities are translated into the technical roadmap, and that the technical roadmap reflects business reality — this role sits on the demand side, not the supply side Define what needs to change and why; the CIO and IT own how to get it done — solution architecture, vendor evaluation, and the build/buy/partner decision belong to IT Own the adoption methodology and coach functional leaders in applying it; the business owns its workflows, this role owns the framework In Year 1, provide hands-on involvement in the first 1–2 flagship programs to establish the standard and given NICE sells AI-native software, to create external proof points Have you got what it takes? 2–4 years at a top-tier management consulting firm (McKinsey, BCG, Bain, or equivalent) — the baseline for structured thinking, executive communication, and operating in ambiguity. The consulting background should be visible in how problems are framed and recommendations are communicated, not just as a line on a resume. Subsequent industry experience at a technology or software company in a role that required working closely with IT or engineering leadership to deploy AI, automation, or large-scale data initiatives A track record of crossing the line from strategy into execution — has felt the difference between advising on AI and actually getting it live Credible with both technical and business audiences — can engage substantively with IT and engineering leaders on what's technically feasible, and translate that into a business case for the CFO or board Demonstrated experience deploying AI at enterprise scale — and knows what "scale" actually means: data governance fights, change management failures, pilots that never land, and integrations that take three times longer than the vendor said Comfortable operating without full authority — able to move the CIO, functional SVPs, and business unit leaders through influence rather than mandate Rigorous thinker who writes clearly — this role contributes to operating model analysis and executive-level recommendations, not just AI deployments Brings a point of view on what AI should do at NICE, not just what's possible MBA from a top program You will have an advantage if you also have: Technical fluency sufficient to recognize when a solution is being oversold, when a data architecture will create problems downstream, and what makes an AI deployment organizationally fragile even when it's technically sound. Experience partnering closely with engineering or IT is a stronger signal than an engineering degree alone. A background that follows the ideal arc: strategy consulting → enterprise technology company → ownership of AI/automation initiatives, having navigated a large organization's technology agenda from the busines