Quality Consultant

Req  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.

• 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

• 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

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

• 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

• 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

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

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

• 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

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.

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