Note: The job is a remote job and is open to candidates in USA. NiCE is a global software company focused on AI, cloud, digital solutions, customer experiences, financial crime prevention, and public safety. The Senior AI Project Manager will manage customer-facing software and AI/GenAI delivery projects from initiation through closure, coordinating stakeholders, tracking risks and dependencies, and ensuring predictable, high-quality delivery. The role also supports AI use-case evaluation, performance monitoring, governance, and continuous improvement across project delivery.
Responsibilities
- Manage software and AI/GenAI delivery projects, ensuring alignment with scope, timelines, and customer expectations
- Build and maintain project plans, schedules, RAID logs, and core delivery documentation
- Communicate project status, risks, and dependencies to customers and internal stakeholders
- Support escalation handling with professionalism and timely follow-through
- Coordinate cross-functional teams through the project lifecycle
- Contribute to PMO best-practice adoption and continuous improvement efforts
- Adjust project plans based on changing priorities or customer needs
- Manage software delivery of conversational AI, LLM, or NLU projects
- Ability to assess AI use cases at a basic level and support evaluation of data readiness
- Partner with technical teams to understand model performance and output quality considerations
- Support customer expectation-setting across AI/GenAI implementations
- Help identify and track AI-specific risks (e.g., data issues, model behavior, hallucinations)
- Familiarity with prompt engineering concepts and prompting limitations
- Use AI tools in daily work for automation, analysis, or documentation
- Assist with monitoring and reporting AI performance KPIs
- Awareness of AI cost drivers such as token usage and model selection
- Understanding of AI governance and safety basics, including guardrails and data-handling practices
Skills
- * 5+ years managing customer‑facing software or SaaS delivery projects
- * Experience delivering projects across Agile, Waterfall, or hybrid methodologies
- * Exposure to technical, SaaS, and/or AI/GenAI project environments
- * Strong problem‑solving and risk‑management abilities
- * Effective communication, organization, and stakeholder‑engagement skills
- * Proficiency with project management tools (MS Project, Salesforce, Rocketlane, Power BI preferred)
- * Manage software delivery of conversational AI, LLM, or NLU projects
- * Ability to assess AI use cases at a basic level and support evaluation of data readiness
- * Partner with technical teams to understand model performance and output quality considerations
- * Support customer expectation‑setting across AI/GenAI implementations
- * Help identify and track AI‑specific risks (e.g., data issues, model behavior, hallucinations)
- * Familiarity with prompt engineering concepts and prompting limitations
- * Use AI tools in daily work for automation, analysis, or documentation
- * Assist with monitoring and reporting AI performance KPIs
- * Awareness of AI cost drivers such as token usage and model selection
- * Understanding of AI governance and safety basics, including guardrails and data‑handling practices
- * PMP certification preferred
Benefits
- A fast-paced, collaborative, and creative work environment
- Learn and grow
- Endless internal career opportunities across multiple roles, disciplines, domains, and locations
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