NICE Logo

NICE

Senior Director, AI Transformation

Reposted 3 Days Ago
Remote
Hiring Remotely in USA
Senior level
Remote
Hiring Remotely in USA
Senior level
The role leads AI adoption across business functions, prioritizing use cases, building business cases, and driving organizational change necessary for successful implementation. It requires collaboration with IT leadership and the presentation of ROI to business stakeholders.
The summary above was generated by AI

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 approach / 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 business side.

What's in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to raise the bar constantly, you may be our next NiCEr!

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.


Similar Jobs

Yesterday
In-Office or Remote
Expert/Leader
Expert/Leader
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
The AI Transformation, Value Advisory Senior Director at Coupa is responsible for driving AI transformation in large enterprises, guiding clients through data-driven business discussions, developing ROI models, and facilitating executive workshops to enhance decision-making and operational efficiency.
Top Skills: AISaaS
10 Days Ago
Remote
United States
172K-203K Annually
Senior level
172K-203K Annually
Senior level
Consulting
The Senior Director Analyst will create insights on AI in HR, guide clients, analyze trends, and support sales with compelling research and presentation materials.
Top Skills: Ai In HrHr Technology
An Hour Ago
Remote or Hybrid
192K-337K Annually
Expert/Leader
192K-337K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead design and scaling of role architecture, competency frameworks, collaboration models, and org design governance for the Customer Excellence Group. Partner with leaders, HR, and L&D to translate strategy into practical role mandates, enable role communities, drive stakeholder alignment, and support transformation initiatives to improve organizational effectiveness across a global, matrixed SaaS organization.
Top Skills: Servicenow

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account