NICE

Manager, Professional Services, AI, CX

Remote
AI Machine Learning MLOps PMP
Description

Manager, Professional Services, AI, CX

Location: USA - Remote

Department: GCO - Customer Success & Services

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?

The Manager, PMO – AI serves as a team manager while leading client-facing AI program governance, delivery assurance, and cross-functional alignment.  This role manages AI/Machine Learning (ML) project lifecycles, ensures responsible AI practices, and partners directly with enterprise clients on strategy, roadmaps, and measurable outcomes.

How will you make an impact?

Client-Facing Responsibilities

  • Serve as primary executive-facing PMO leader for AI programs.
  • Translate client business objectives into AI roadmaps, Objectives & Key Results (OKRs), and Key Performance Indicators (KPIs).
  • Present portfolio status, risks, options, and value realization to client executives.
  • Lead steering committees, Quarterly Business Reviews (QBRs), and executive communication.

PMO Leadership & Governance

  • Establish PMO standards tailored to AI, including AI/ML lifecycle stage gates.
  • Run portfolio intake, prioritization, funding, and benefits tracking.
  • Implement AI-augmented reporting, dashboards, and risk sensing.

AI Program Delivery

  • Oversee end-to-end delivery of AI solutions, including data readiness, model validation, deployment, and adoption.
  • Ensure alignment to responsible AI principles and compliance.
  • Partner with Data/ML Engineering, MLOps, Security, and Business stakeholders.

People Leadership

  • Lead, mentor, and coach PMs, TPMs, and analysts.
  • Manage staffing, workload balancing, and performance.
  • Foster a high-performing, client-centric culture.

Have you got what it takes?

  • BS/BA in technical (e.g., CS/IS/EE) or business (e.g., Marketing/MIS) field or equivalent work experience required. MBA preferred.
  • 7–10+ years in program/project management; 3+ managing AI/ML initiatives.
  • Proven people‑leadership experience in managing and coaching direct reports.
  • Experience delivering complex, client-facing AI programs.
  • Strong understanding of AI/ML concepts, data governance, and MLOps.
  • Excellent executive communication and stakeholder leadership.
  • PMP Certification.

This job description is not intended to be all-inclusive, and employees will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required.

This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.​

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 constantly raise the bar, you may just 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.

 

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