Senior Manager Data Quality

Salary: £95,000 - 130,000 per year

Requirements:

• Proven experience in data quality management, data governance, or a related data management discipline, with experience in a lead role
• Proven track record of developing and implementing enterprise-level data quality frameworks and initiatives
• Strong understanding of data quality dimensions, including accuracy, completeness, consistency, timeliness, validity, and uniqueness
• Proficiency with data profiling, cleansing, and standardisation techniques and tools such as Informatica Data Quality, Talend Data Quality, Collibra, Ataccama, or similar
• Strong analytical and problem-solving skills with the ability to identify root causes and propose practical solutions for complex data issues
• Solid understanding of data governance principles and their relationship to data quality
• Demonstrable understanding of data quality challenges and requirements for Machine Learning, Generative AI, and Agentic AI models, including bias, factual accuracy, and ethical data use
• Excellent communication, presentation, and people skills, with the ability to influence and collaborate effectively with technical and non-technical stakeholders
• Ability to work independently and manage multiple priorities in a challenging environment
• Experience in a professional services organisation is desirable
• Familiarity with cloud data platforms such as AWS, Azure, or GCP and their data quality capabilities is desirable
• Knowledge of Master Data Management and Metadata Management concepts is desirable
• Experience with data quality tools for unstructured data or text analytics is desirable
• Relevant industry certifications such as DAMA Certified Data Management Professional or Data Quality certifications are desirable
• Bachelors or Masters degree in Computer Science, Information Systems, Data Science, or a related quantitative field is desirable

Responsibilities:

• We define and implement our UK Data Office data quality strategy aligned to enterprise data governance objectives
• We establish standardised data quality frameworks covering dimensions, Critical Data Elements, rules, thresholds, and tolerances
• We embed consistent methodologies for measuring and reporting data quality across domains
• We lead data profiling and analysis to identify issues, inconsistencies, anomalies, and gaps across data sources and systems
• We conduct root cause analysis and recommend effective remediation strategies
• We collaborate with Data Owners, Data Stewards, IT teams, and business stakeholders to prioritise, track, and resolve data quality issues
• We oversee and support data cleansing, enrichment, and standardisation initiatives
• We implement preventative measures to minimise future data quality defects
• We design, develop, and maintain data quality dashboards and reports
• We communicate data quality status and progress to stakeholders and senior management
• We evaluate, select, and implement data quality tools and technologies to automate checks, monitoring, and reporting
• We optimise existing data quality processes for efficiency and effectiveness
• We work with businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle
• We provide training and guidance to Data Owners, Data Stewards, and business users on data quality best practices
• We champion data quality awareness and a data-driven culture across the organisation
• We ensure data quality requirements are embedded into new system implementations, data migrations, and digital transformation projects
• We support the provision of high-quality, trusted data for advanced analytics, reporting, and the training, fine-tuning, and operational use of Generative AI and Agentic AI models

Technologies:

• Agentic AI
• AI
• AWS
• Azure
• Cloud
• Embedded
• Fine-tuning
• GCP
• Informatica
• Support
• Machine Learning
• Talend
• Marketing

More:

We are Deloitte UKs Data Office, at the heart of our data strategy and responsible for driving robust data governance, data integrity, and a data-driven culture across the organisation. This Senior Data Quality Manager role sits within our Enabling Functions business line, supporting our businesses with trusted data that underpins operational excellence, regulatory compliance, business growth, and our AI initiatives, including Generative AI and Agentic AI. We offer hybrid working from one of our UK offices, with locations including Aberdeen, Birmingham, Bristol, Cambridge, Cardiff, Edinburgh, Gatwick, Leeds, Manchester, Milton Keynes, Newcastle, and Reading. We are committed to inclusion, wellbeing, flexible working, and continuous development, and we want you to bring your true self to work while growing your career with us.

last updated 34 week of 2026