Knowledge Quality Consultant

NTT DATA; Greater London; On-site; GBP 90,000 - 120,000; Full time

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.

Skills

Data Quality Frameworks

Graph Analytics

Cypher

Audit Methodology

Tools

Neo4j

Power BI

Tableau

Job description

Req ID:376760NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking a Knowledge Quality Consultant to join our team in London, London, City of (GB-LND), United Kingdom (GB). Job Title: Knowledge Quality Lead. Experience: 8-12 years (5+ years in data quality, analytics, or knowledge graph environments). Role Overview: We are seeking a Knowledge Quality Lead to define and operationalize a multi-dimensional quality framework for enterprise knowledge graphs.

Key Responsibilities

Quality Framework & Metrics

• Define and implement a multi-dimensional quality framework
• Establish metrics for:
  • Completeness
  • Correctness
  • Binding correctness
  • Provenance
  • Currency
  • Continuously refine quality benchmarks aligned with business needs

Quality Audits & Monitoring

• Conduct periodic data quality audits across the knowledge graph
• Leverage graph analytics and Cypher queries for validation and insights
• Identify gaps, anomalies, and inconsistencies in graph data

Reporting & Stakeholder Visibility

• Design and publish quality dashboards and scorecards for stakeholders
• Provide actionable insights on data quality trends and risks
• Drive transparency and accountability across teams

Remediation & Governance

• Own and prioritize the data quality remediation backlog
• Define and enforce remediation SLAs
• Collaborate with engineering and domain teams to resolve quality issues
• Establish governance processes for ongoing quality assurance

Collaboration

• Partner with data engineering, ontology, and AI teams
• Align quality standards with enterprise data governance frameworks
• Promote best practices in data quality management and validation

Required Skills

• Data Quality Frameworks (profiling, validation, governance)
• Graph Analytics
• Cypher (querying and validation in graph environments)
• Audit Methodology (data audits, controls, compliance)

Preferred Skills

• Experience with knowledge graphs / Neo4j
• Data governance and metadata management
• Dashboarding tools (Power BI, Tableau, etc.)
• Exposure to AI/ML data validation practices

Job Expectations

• Establish and drive enterprise-grade data quality standards
• Ensure continuous monitoring and improvement of knowledge graph quality
• Deliver actionable insights and measurable improvements
• Enable trust and reliability in AI and downstream applications

Summary

This role is critical in ensuring the trust, reliability, and usability of enterprise knowledge graphs, enabling high-quality data for analytics and AI use cases through structured quality frameworks and strong governance.

About NTT DATA

NTT DATA is a $30 billion business
and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work