Data Capability Engineer
Newell Brands (company site, opens in a new tab)5–8 yrsChennaiOn-siteDirect career pageEst. 12–20 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own and continuously improve data accuracy, completeness, and usability in the service management platform, focusing immediately on service mapping and asset data domains.
- Extend data coverage and fidelity across various asset types (certificates, websites, agents, SaaS applications) and embed quality practices into onboarding workflows to support AI-driven automation without manual re-verification.
- Ensure platform data quality for AI consumption across service catalog, ticket routing, and metadata using existing tools and schemas to enable trustworthy, reusable data for implementation teams and automated systems.
Minimum Requirements
- 5-8 years in IT data, configuration/asset management, or data-engineering-adjacent roles with demonstrable data domain ownership.
- Hands-on experience with CMDB, service mapping concepts, discovery/software-asset tools (e.g., Lansweeper), and extending inventory coverage to diverse asset types.
- Proficiency querying and shaping data in structured platforms (e.g., Dataverse or similar relational/low-code platforms) with strong data-quality fundamentals (profiling, deduplication, normalization).
- Bachelor's degree in information systems, computer science, data management or equivalent practical experience.
Ideal Candidate Profile
- Experienced in managing and elevating data quality specifically in IT service management platforms with AI integration, demonstrating independent judgment under senior management.
- Shows deep understanding of service mapping and discovery tooling to maintain and extend accurate asset inventories aligned to business consumption needs.
- Capable of embedding repeatable data quality practices within existing operational workflows and communicating complex data issues clearly across technical and non-technical stakeholders.