ServiceNow Practice Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
ServiceNow Practice Lead (ServiceNow/AI): Driving growth, strategy, and delivery excellence of the ServiceNow and AI-enabled transformation portfolio with an accent on scaling a high-performing practice and leading complex federal client engagements. Focus on architecting advanced AI solutions, including RAG frameworks and agentic workflows, to modernize enterprise service management.
Location: Must be local to the DC Metro area; partially remote with regular on-site client meetings.
Company
is a professional services firm specializing in ServiceNow and AI-enabled digital transformation for federal and commercial clients.
What you will do
- Build and scale the ServiceNow practice, including go-to-market strategies, offerings, and delivery standards.
- Oversee end-to-end delivery of complex ServiceNow programs (ITSM, CSM, HRSD) for federal clients.
- Architect and implement advanced AI solutions using NOW Assist, RAG frameworks, and multi-LLM architectures.
- Serve as a trusted advisor to senior executives on digital transformation and AI adoption strategies.
- Lead business development efforts, including proposal development and strategic account planning.
- Recruit, mentor, and develop a high-performing team of architects and consultants.
Requirements
- U.S. Citizenship and ability to obtain and maintain a government suitability clearance.
- ServiceNow Certified Master Architect (CMA) certification is required.
- 8–12+ years of experience in ServiceNow or enterprise platform implementations.
- 3–5+ years of experience leading large-scale ServiceNow programs or practices.
- Hands-on experience with ServiceNow AI capabilities (NOW Assist, Agentic AI, or AI Control Tower).
- Proven success in business development and executive-level stakeholder management.
Nice to have
- ServiceNow Certified Technical Architect (CTA).
- Prior federal consulting experience at the Senior Manager or Director level.
- Expertise in AI/ML architecture, data engineering, and automation platforms.
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