About the Role:

We are seeking an experienced and forward-thinking AI/ML CMDB Lead Architect to join our CMDB team. In this role, you will be responsible for assessing current gaps in our Configuration Management Database (CMDB), designing a up-to-date and scalable architecture, and guiding the team on best practices to make CMDB data ready for the next generation of enterprise AI and agentic solutions. You will play a pivotal role in evolving our CMDB from a ServiceNow-centric model to an intelligent, data-driven ecosystem leveraging Databricks, Microsoft Fabric, knowledge graphs, and predictive intelligence.

The Impact:

The AI/ML CMDB Lead Architect will be instrumental in transforming how our organization understands, manages, and leverages its technology assets. By modernizing the CMDB and making inventory data AI-ready, this role will directly improve operational decision-making, reduce IT risk, and unlock intelligent automation across the enterprise. The work will have downstream impact on our customers by ensuring our organization operates on reliable, high-integrity data enabling faster incident resolution, better change management, and a stronger foundation for enterprise-grade AI solutions.

Responsibilities:

- Conduct a comprehensive assessment of the current CMDB architecture, identify data gaps, and define a roadmap to a modern, AI-ready CMDB ecosystem.
- Design and implement a target-state architecture that integrates ServiceNow with Databricks and Microsoft Fabric, enabling gold-tier datasets to flow into the CMDB from diverse source systems.
- Modernize CI lifecycle management, reconciliation, and data quality processes through automated, AI-assisted, and data-driven workflows.




- Develop and maintain ServiceNow modules supporting ITSM and CMDB governance, including workflow automation, business rules, and module configuration.
- Reduce dependencies on IT teams by creating data-driven solutions to automate relationship mapping, dependency integrity, and reconciliation.
- Introduce AI/ML capabilities such as knowledge graphs and predictive intelligence to surface relationships between assets and proactively identify dependencies.
- Design and oversee CMDB audits, KPI dashboards, and continuous improvement processes to maintain data quality and integrity.
- Leverage Azure cloud services and Databricks for scalable data ingestion, transformation, and processing.
- Implement automated job scheduling and observability with self-healing AIOps capabilities.
- Serve as the technical lead and mentor for the CMDB team, establishing best practices, coding standards, and architectural principles.
- Ultimately accountable for the Quality and Integrity of the CMDB.
- Manage a team of passionate CMDB data engineers.

WhatWereLooking For: Key qualifications:

- Experience: 5-10 years in data engineering and/or CMDB management and architecture.
- Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- CMDB Expertise: Deep understanding of CMDB concepts including CI lifecycle management, data model governance, relationship mapping, reconciliation, audits, and KPI dashboards.
- ServiceNow Development: Hands-on experience with workflow automation, business rules, module configuration, discovery, and integration with enterprise systems.
- Data Engineering: Strong skills in ETL/ELT pipeline design, Python for data transformation, Databricks for scalable processing, and Microsoft Fabric for data lakehouse architectures and data distribution.

📌 AI/ML CMDB Solution Architect (Haryana)
🏢 S&P Global Market Intelligence
📍 Haryana