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Quality Consultant

Job in London, Greater London, W1B, England, UK
Listing for: NTT DATA
Full Time position
Listed on 2026-09-07
Job specializations:
  • IT/Tech
    Data Analyst, IT QA Tester / Automation
Job Description & How to Apply Below
Position: Knowledge 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, 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 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. This role will ensure high standards across completeness, correctness, provenance, and currency of data, while driving governance, audits, and remediation  ideal candidate will combine expertise in data quality frameworks, graph analytics, and audit methodologies with the ability to lead quality initiatives across teams.

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 SLAsCollaborate 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 / Neo4jData 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 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 options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or…
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