Knowledge Quality Lead for Graph Data & AI

NTT DATA

Greater London

On-site

GBP 90,000 - 120,000

Full time

3 days ago

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Job summary

NTT DATA in London is seeking a Knowledge Quality Lead to define and operationalize a multi-dimensional quality framework for enterprise knowledge graphs, ensuring trust and reliability for analytics and AI applications. The role oversees quality audits, dashboards, and governance, partnering with data engineering, ontology, and AI teams to drive measurable improvements and actionable insights.

Candidates should have 8-12 years of experience in data quality, analytics or knowledge graph

Qualifications

Experience in data quality frameworks, profiling and governance.
Experience with graph analytics and validation using Cypher.
Experience conducting data quality audits and controls.

Responsibilities

Define and implement a multi-dimensional quality framework.
Establish metrics for completeness, correctness, binding correctness, provenance, currency, and quality benchmarks.
Conduct periodic data quality audits across the knowledge graph.
Leverage graph analytics and Cypher queries for validation and insights.
Design and publish quality dashboards and scorecards for stakeholders.
Own and prioritize the data quality remediation backlog and SLAs.
Collaborate with engineering and domain teams to resolve quality issues.
Establish governance processes for ongoing quality assurance.
Partner with data engineering, ontology, and AI teams to align standards.