At a Glance
- Tasks: Define and implement a quality framework for enterprise knowledge graphs.
- Company: Join NTT DATA, a global leader in technology services and innovation.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team driving responsible innovation and digital transformation.
- Why this job: Make a real impact on data quality and governance in a dynamic environment.
- Qualifications: Experience in data quality frameworks and graph analytics is essential.
The predicted salary is between 54000 - 66000 £ per year.
NTT 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, United Kingdom.
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 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 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
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 an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Knowledge Quality Consultant in London employer: NTT DATA
At NTT DATA, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages creativity in the rapidly evolving field of AI/ML security. Located in a vibrant tech hub, we offer competitive benefits and a dynamic workplace where your contributions directly impact the future of secure AI systems.
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We think you need these skills to ace Knowledge Quality Consultant in London
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