Data Capability Engineer

Newell Brands

. Ensure existing service mapping is accurate and current across hosts, servers, and applications .

Posted 9/17/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in IT data management, configuration management database (CMDB) practices, and data quality fundamentals. Proficient in onboarding applications and ensuring data readiness for AI systems while effectively communicating with both technical and non-technical stakeholders.

Highest-signal resume keywords

CMDB ManagementData Quality FundamentalsDataverse QueryingService Mapping ConceptsMicrosoft Power Platform

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementConfiguration ManagementData ProfilingData NormalizationData DeduplicationData Completeness MeasurementService Dependency MappingAsset Management SystemsData ShapingAI Data Readiness

Soft Skills

CommunicationProblem-SolvingIndependent WorkCollaboration

Tools & Technologies

LansweeperPower AutomateAzure AI SearchDataverseSoftware Asset Management Systems

Certifications & Qualifications

Bachelor's Degree in Information SystemsDAMA/CDMP CertificationITIL Familiarity

Industry Keywords

Service MappingConfiguration ItemsSaaS ApplicationsData Domain OwnershipVulnerability Management

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Ensure existing service mapping is accurate and current across hosts, servers, and applications
Extend mapping coverage to certificates, websites, agents, and SaaS applications
Participate in workflows onboarding new applications and capabilities into the CMDB
Use discovery and software-asset tooling to improve inventory fidelity
Improve service catalog and metadata, ticket routing and assignment-group data, and Dataverse structures supporting delivery capabilities such as the AskIT service chatbot
Prepare data for AI consumption by ensuring it is complete, disambiguated, and semantically clean
Leverage existing Dataverse schemas, discovery tooling, and search indexes rather than building new infrastructure
Make data consumable without re-verification by turning recurring data problems into repeatable quality practices
Work independently under a Senior Manager's direction
Measure coverage, data confidence, application onboarding time, and reusability of data-quality improvements

Requirements

What you’ll need

Bachelor's degree in information systems, computer science, data management, or a related field, or equivalent practical experience
Five to eight years in IT data, configuration/asset management, or a data-engineering-adjacent role
Demonstrable ownership of a data domain
Hands-on experience with CMDB and service mapping concepts, including configuration items, relationships, and service dependencies
Working knowledge of Lansweeper, agent-based discovery, and software asset management systems
Understanding of certificates, websites, agents, and SaaS applications as asset types
Strong data-quality fundamentals, including profiling, deduplication, normalization, completeness, and accuracy measurement
Practical experience querying and shaping data in Dataverse or a comparable relational/low-code data platform
Query capability to investigate, validate, and correct data at scale independently
Familiarity with data readiness for AI systems, including completeness, disambiguation, and clean semantics
Ability to embed quality into onboarding workflows and create repeatable practices
Ability to communicate data issues and business impact to technical and non-technical stakeholders
Experience with Microsoft Power Platform, Power Automate, Azure AI Search, or similar is advantageous
Exposure to vulnerability or exposure management as a data consumer is advantageous
ITIL familiarity or a data-management certification such as DAMA/CDMP is advantageous

Benefits

Comp & perks

Permanent, full-time employment
Remote work arrangement