Knowledge Quality Consultant

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, apply now.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 LeadExperience: 8-12 years (5+ years in data quality, analytics, or knowledge graph environments)Role OverviewWe are seeking a Knowledge Quality Lead to define and operationalize a multi-dimensional quality framework for enterprise knowledge graphs. This role will ensure high standards across completeness, correctness, provenance, and currency of data, while driving governance, audits, and remediation at scale.The ideal candidate will combine expertise in data quality frameworks, graph analytics, and audit methodologies with the ability to lead quality initiatives across teams.Key ResponsibilitiesQuality Framework &
MetricsDefine and implement a multi-dimensional quality frameworkEstablish metrics for:CompletenessCorrectnessBinding correctnessProvenanceCurrencyContinuously refine quality benchmarks aligned with business needsQuality Audits & MonitoringConduct periodic data quality audits across the knowledge graphLeverage graph analytics and Cypher queries for validation and insightsIdentify gaps, anomalies, and inconsistencies in graph dataReporting & Stakeholder VisibilityDesign and publish quality dashboards and scorecards for stakeholdersProvide actionable insights on data quality trends and risksDrive transparency and accountability across teamsRemediation & GovernanceOwn and prioritize the data quality remediation backlogDefine and enforce remediation SLAsCollaborate with engineering and domain teams to resolve quality issuesEstablish governance processes for ongoing quality assuranceCollaborationPartner with data engineering, ontology, and AI teamsAlign quality standards with enterprise data
governance frameworksPromote best practices in data quality management and validationRequired SkillsData Quality Frameworks (profiling, validation, governance)Graph AnalyticsCypher (querying and validation in graph environments)Audit Methodology (data audits, controls, compliance)Preferred SkillsExperience with knowledge graphs / Neo4jData governance and metadata managementDashboarding tools (Power BI, Tableau, etc.)Exposure to AI/ML data validation practicesJob ExpectationsEstablish and drive enterprise-grade data quality standardsEnsure continuous monitoring and improvement of knowledge graph qualityDeliver actionable insights and measurable improvementsEnable trust and reliability in AI and downstream applicationsSummaryThis 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 DATANTT 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