Note: The job is a remote job and is open to candidates in USA. NiCE is a global company renowned for its innovative software solutions, particularly in AI and customer experience. They are seeking a Lead AI Project Manager to oversee complex customer-facing projects, ensuring alignment with strategic goals and effective communication across teams. The role involves managing project lifecycles, mentoring project managers, and driving accountability in AI delivery.
Responsibilities
- Manage high‑visibility software and AI/GenAI projects, ensuring alignment with scope, timelines, and customer expectations
- Manage project plans, schedules, RAID logs, and core project documentation
- Provide consistent communication with executive leadership
- Drive ownership, accountability, and escalation management
- Guide teams through the full project lifecycle
- Mentor project managers and support PMO best‑practice maturity
- Navigate shifting priorities and adjust delivery approaches as needed
- Led end‑to‑end delivery of conversational AI, LLM, and NLU solutions across scoping, execution, UAT, and deployment
- Assessed AI use cases and evaluated data readiness, including ingestion, quality, labeling, and dependency tracking
- Collaborated with engineering, product, R&D, and presales teams to validate model accuracy, output quality, and overall performance
- Set and managed customer expectations while coordinating cross‑functional delivery across technical and business teams
- Identified and mitigated AI‑specific risks such as model drift, hallucinations, data issues, and expectation misalignment
- Applied hands‑on prompt engineering with a clear understanding of prompting limitations and optimization strategies
- Leveraged AI tools in daily workflows for automation, data analysis, content generation, and quality validation
- Defined and monitored AI performance KPIs, translating metrics (e.g., accuracy, containment, hallucination rate, latency, cost per inference) into actionable insights
- Managed AI cost drivers, e.g. token usage, model selection, prompt structure, and architecture optimization for efficiency and performance
- Ensured compliance with AI safety, governance, and security standards, implementing guardrails, redaction practices, and structured evaluation frameworks
Skills
- Led end‑to‑end delivery of conversational AI, LLM, and NLU solutions across scoping, execution, UAT, and deployment
- Assessed AI use cases and evaluated data readiness, including ingestion, quality, labeling, and dependency tracking
- Collaborated with engineering, product, R&D, and presales teams to validate model accuracy, output quality, and overall performance
- Set and managed customer expectations while coordinating cross‑functional delivery across technical and business teams
- Identified and mitigated AI‑specific risks such as model drift, hallucinations, data issues, and expectation misalignment
- Applied hands‑on prompt engineering with a clear understanding of prompting limitations and optimization strategies
- Leveraged AI tools in daily workflows for automation, data analysis, content generation, and quality validation
- Defined and monitored AI performance KPIs, translating metrics (e.g., accuracy, containment, hallucination rate, latency, cost per inference) into actionable insights
- Managed AI cost drivers, e.g. token usage, model selection, prompt structure, and architecture optimization for efficiency and performance
- Ensured compliance with AI safety, governance, and security standards, implementing guardrails, redaction practices, and structured evaluation frameworks
- 8+ years of project management experience leading complex, customer‑facing software delivery projects
- Proven success managing full end to end delivery using Agile, Waterfall, and hybrid methodologies
- Experience delivering technical, SaaS, and AI/GenAI projects
- Strong analytical skills with a track record of managing risks, revenue, and escalations
- Excellent communication & expectation management
- Advanced proficiency in project management and reporting tools (e.g., MS Project, Salesforce, Rocketlane, & Power BI)
- PMP certification required
Benefits
- 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.
Company Overview
NiCE is transforming the world with AI that puts people first. It was founded in 1986, and is headquartered in Ra'anana, HaMerkaz, ISR, with a workforce of 5001-10000 employees. Its website is http://nice.com.Company H1B Sponsorship
NiCE has a track record of offering H1B sponsorships, with 2 in 2026, 5 in 2025, 14 in 2024, 8 in 2023, 8 in 2022, 11 in 2021, 10 in 2020. Please note that this does not guarantee sponsorship for this specific role.