About the Role
This role is responsible for driving NICE's internal AI adoption agenda, encompassing the identification and prioritization of AI use cases across various business functions, building investment cases, and overseeing deployment. It involves close collaboration with the CIO and functional VPs. While the CIO manages infrastructure and the technical build, this role focuses on the business case, the adoption layer, and the organizational change necessary for successful AI integration. This is a senior operator position, not a center of excellence or research function, requiring the ability to engage with engineering leaders on technical questions and present ROI cases to the CFO.
Responsibilities
- Own the AI use case roadmap across functions, identifying, prioritizing, and building business cases for maximum value creation through AI.
- Partner closely with the CIO to ensure business priorities are accurately translated into the technical roadmap and that the technical roadmap aligns with business realities.
- Define necessary changes and their rationale; IT and the CIO are responsible for execution, including solution architecture, vendor evaluation, and build/buy/partner decisions.
- Manage the AI adoption methodology and mentor functional leaders in its application, providing the framework while businesses own their workflows.
- Provide hands-on involvement in 1–2 flagship AI programs in the first year to establish standards and generate external proof points, given NICE's AI-native software offerings.
Requirements
- 2–4 years at a top-tier management consulting firm (McKinsey, BCG, Bain, or equivalent) demonstrating structured thinking, executive communication, and comfort operating in ambiguity.
- Subsequent industry experience at a technology or software company, with a role requiring close collaboration with IT or engineering leadership to deploy AI, automation, or large-scale data initiatives.
- A proven track record of transitioning from strategy to execution, having direct experience in getting AI solutions live.
- Credibility with both technical and business audiences, capable of substantive engagement with IT and engineering leaders on technical feasibility and translating it into business cases for the CFO or board.
- Demonstrated experience deploying AI at enterprise scale, understanding the complexities of data governance, change management failures, pilot programs, and integration challenges.
- Comfort operating effectively without full authority, influencing CIOs, functional SVPs, and business unit leaders through persuasion rather than mandate.
- A rigorous thinker with clear writing skills, contributing to operating model analysis and executive-level recommendations beyond just AI deployments.
- Possesses a strong point of view on the strategic role of AI at NICE, not merely what is technically possible.
- An MBA from a top program.
Preferred Qualifications
- Technical fluency sufficient to identify oversold solutions, foresee data architecture problems downstream, and recognize factors that make AI deployments organizationally fragile despite technical soundness. Experience partnering closely with engineering or IT is more indicative than an engineering degree alone.
- A career trajectory that includes strategy consulting, experience at an enterprise technology company, and ownership of AI/automation initiatives, having navigated a large organization's technology agenda from the business side.