Role Summary for 1 AI implementation Specialist
Exp -5+
We require an AI Implementation Engineer to plan, design, and build an MVP for an AI-powered CMDB Data Steward Agent on the ServiceNow platform.
The Data Steward Agent will operate as an intelligent CMDB caretaker, continuously monitoring CI data quality, detecting risks, and generating predictive insights on CI and service impact to the business.
This role will establish the foundation for self-healing, intelligence-led CMDB maintenance and operations in a regulated banking environment.
1. Key Responsibilities
Data Steward Agent – Planning & Design
- Define the Data Steward Agent operating model for CMDB maintenance and operations
- Identify priority CMDB use cases:
- CI data quality degradation
- Missing or incorrect relationships
- Stale or orphaned CIs
- High-risk CI changes impacting business services
- Design agent decision logic aligned to CSDM and CMDB governance standards
MVP Build & Enablement
- Build an MVP AI-powered Data Steward Agent capable of:
- Monitoring CMDB health signals (completeness, correctness, compliance)
- Detecting anomalies and data drift across CIs
- Recommending corrective actions or automated remediation
- Integrate the agent with:
- Discovery
- Service Mapping
- CMDB Health
- Incident and Change data
Predictive Business Impact Insights
- Enable the agent to generate predictive insights, including:
- CI failure or degradation risk
- Likely business services impacted
- Downstream incident and change risk
- Translate technical CI insights into business-service-level impact narratives
- Surface insights via dashboards, alerts, or conversational interfaces
Governance, Explainability & Controls
- Ensure the Data Steward Agent is:
- Explainable and transparent
- Auditable and compliant with banking controls
- Secure and role-aware
- Define guardrails for human-in-the-loop decision making
2. Required Skills & Experience
- 5+ years of ServiceNow platform experience
- Deep hands-on expertise in:
- CMDB
- CSDM
- ITOM (Discovery, Service Mapping)
- Proven experience building AI or intelligent automation agents
- Strong understanding of:
- CMDB data quality and governance
- CI lifecycle and service dependency modelling
- Experience with:
- AI / GenAI capabilities , LLM capabilities
- AIOps and event-driven automation
- APIs, IntegrationHub, Flow Designer
- Experience in banking or regulated environments preferred
3. Deliverables & Success Measures
- Defined Data Steward Agent architecture and operating model
- MVP Data Steward Agent deployed in non-production and production pilot
- Reduction in manual CMDB maintenance effort
- Early warning and predictive insights on CI-to-business impact
- Improved CMDB data quality and service confidence
4. Business Outcome
This role will move CMDB operations from reactive maintenance to proactive, predictive stewardship, enabling:
- Faster and more accurate business impact assessment
- Reduced operational and change risk
- Scalable, AI-led CMDB governance
- Foundation for autonomous service management
