Job title: Data Capability Engineer

Location: Chennai

Reports to: IT Systems Architecture

Contract: Permanent, Full-time

Purpose of the Role:

Own and extend the accuracy, completeness, and usability of the service management platform's data — so implementation teams and AI-driven capabilities can act on it directly, and so priority consumers like vulnerability and exposure management run on complete, trustworthy ground truth. Service mapping and asset data are the anchor domain and immediate priority; the durable mandate is data quality across an increasingly AI-centric ITSM platform, where automated systems act on data without a human to catch errors first.
A data-capability role, not a security role.

Core responsibilities — Anchor domain: Service & asset data (immediate priority)
• Ensure existing service mapping is accurate and current across hosts, servers, and applications.
• Extend mapping coverage to data types not well covered today — certificates, websites, agents, and SaaS applications.




• Engage in the workflows that onboard new applications and capabilities into the CMDB so coverage keeps pace rather than drifting.
• Go deeper into discovery and software-asset tooling — Lansweeper, the software asset management system, and agent-based discovery — to raise inventory fidelity.

Core responsibilities — Broader mandate: Platform & AI-consumption data quality
• Apply the same discipline to other high-value platform data — service catalog and metadata, ticket routing and assignment-group data, and the Dataverse structures underneath delivery capabilities such as the AskIT service chatbot.
• Raise data to the standard AI systems require: complete, disambiguated, and semantically clean, so intent classification, catalog matching, and automated routing act on trustworthy inputs rather than amplifying noise.
• Leverage the existing foundation (Dataverse schema, discovery tooling, search indexes already in place) rather than building net-current infrastructure.
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📌 Data Capability Engineer (India)
🏢 Newell Brands
📍 India