Job Description
Knowledge Management/AI Specialist
Job Location:  New York City, New York
Location Flexibility:  Multiple Locations in Country
Req Id:  5626
Posting Start Date:  2/5/26
Knowledge Management Specialist
Responsibilities
KM Strategy & Design
• Define and operationalize KCS-aligned KM standards, principles, and guardrails across ITSM
• Design KM frameworks covering:
o Knowledge capture and reuse
o Structure and taxonomy
o Findability and relevance
o Lifecycle management (review, validation, retirement)
o Operating model and ownership
• Establish and maintain “what goes where” rules across ServiceNow, Confluence, and SharePoint by knowledge type
ITSM-Embedded KM Enablement
• Embed KM directly into Incident, Problem, and Change workflows so knowledge is captured and improved as work is performed
• Define triggers for knowledge creation and update (e.g., incident resolution, known errors, change execution)
• Work with Service Desk and other IT support teams to:
o Standardize operational KB articles, runbooks, and procedures
o Align incident templates with knowledge structure
o Improve first-contact resolution and resolution consistency
ServiceNow Knowledge Enablement
• Partner with ServiceNow Solution Architect and Developers to:
o Design KM taxonomy, metadata, and CI alignment
o Define lifecycle workflows, approval models, and reuse signals
o Improve search relevance and findability
• Ensure ServiceNow is used as the system of record for operational knowledge, aligned to governance and analytics needs
L0 Self-Service & AI Readiness
• Support L0 self-service pilots (AI-assisted and portal-based) by:
o Preparing clean, structured, governed knowledge for consumption
o Defining success metrics (deflection, confidence, discovery success)
o Identifying content, metadata, and structural gaps impacting AI and self-service effectiveness
• Partner with AI/Search specialists to ensure KM design enables future AI scaling without premature automation
KM Governance & Operating Model
• Define and implement federated KM governance, balancing central standards with distributed ownership
• Establish clear RACI across ITSM, tower teams, knowledge owners, and platform teams
• Support leadership cadence for KM reviews, metrics, and continuous improvement
Metrics, Analytics & Continuous Improvement
• Define and baseline KM performance metrics, including:
o Knowledge reuse
o Search success/failure
o Deflection signals
o Content gaps and decay
• Use analytics to drive:
o Targeted content improvement
o Taxonomy and metadata tuning
o Lifecycle discipline
• Ensure KM remains measurable, outcome-driven, and improvement-oriented
Change Enablement & Adoption
• Work closely with OCM and Service Desk leads to:
o Drive KM adoption and behavior change
o Support training, coaching, and playbooks
o Reinforce “knowledge as part of the job,” not documentation after the fact

Required Qualifications
Experience
• 7+ years of experience in Knowledge Management, ITSM, Service Desk, or Digital Operations
• Hands-on experience implementing KCS or KCS-inspired KM practices
• Proven experience embedding KM into Incident, Problem, and Change workflows
• Strong exposure to ServiceNow Knowledge and ITSM modules
• Experience supporting self-service and/or AI-assisted knowledge discovery initiatives
Skills & Capabilities
• Deep understanding of:
o Knowledge lifecycle management
o Taxonomy, metadata, and findability
o Operational knowledge vs. reference/policy knowledge
• Ability to translate principles into practical standards, templates, and workflows
• Strong analytical skills with the ability to use data to drive KM improvements
• Excellent stakeholder engagement skills across technical and non-technical teams
• Comfortable operating in ambiguous, evolving transformation environments
Preferred Qualifications
• KCS certification (KCS Practices, KCS Trainer, or equivalent)
• Experience in large, regulated enterprises (financial services a plus)
• Exposure to AI-enabled knowledge discovery or enterprise search platforms
• Experience working with federated or multi-tower IT operating models

 

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