Deloitte
Senior Manager Data Quality, UK Deloitte Data Office
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Connect to your Industry
The Deloitte UK Data Office is at the heart of our data strategy, driving the firm's ambition to harness the power of data for insightful decision-making and innovative solutions. We are responsible for establishing robust data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation.
In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic AI initiatives.
We ensure that Deloitte's data is a trusted asset, enabling informed strategies and operational excellence across all our businesses and Enabling Functions.
The Data Office not only ensures that data in the firm flows through the Deloitte Data Lifecycle, but that it does so with high levels of compliance and optimisation, so that the firm gets ever increasing value from its data assets. This enables us to:
- More easily meet our client and regulatory obligations
- Reuse our knowledge - leverage what we know, and increase the pool of accessible, meaningful, re-usable data
- Empower our practitioners through data - make high quality data available to practitioners when they want, provisioned in a secure, fit for purpose manner
- Align with Global, within EMEA and across UK Firm
Connect to your career at Deloitte
Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.
What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.
Connect to your opportunity
We are seeking an experienced and meticulous Senior Data Quality Manager to establish, implement, and manage our enterprise-wide data quality framework.
This critical role will be responsible for ensuring the accuracy, completeness, consistency, and reliability of our data assets, which are fundamental to our business transformation initiatives, operational efficiency, strategic decision-making, and critically, the successful development and deployment of advanced AI/ML models, including Generative AI and Agentic AI.
The Senior Data Quality Manager will work closely with Data Owners, Data Stewards, and technical teams to identify, assess, and remediate data quality issues, fostering a culture of data excellence across the organisation.
You will be supporting the Chief Data Officer in enabling our Businesses to build a vision around usage of data, turning it into a strategic business asset, and using it as a tool for risk management, regulatory/statutory compliance, and business growth.
Key Responsibilities:
Data Quality Strategy & Framework:
- Define and implement the UK Data Office data quality strategy aligned to enterprise data governance objectives
- Establish standardised data quality frameworks covering:
- Data quality dimensions (e.g., completeness, accuracy, timeliness, consistency)
- Critical Data Elements (CDEs)
- Data quality rules, thresholds, and tolerances
- Embed consistent methodologies for measuring and reporting data quality across domains
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Data Quality Assessment & Profiling:
- Lead data profiling and analysis activities to identify data quality issues, inconsistencies, anomalies, and gaps across various data sources and systems, paying close attention to data characteristics crucial for AI model performance (e.g., bias, representativeness, factual accuracy for LLMs)
- Conduct root cause analysis for identified data quality problems and recommend effective remediation strategies, understanding their potential impact on AI model outputs and reliability
- Application of AI technologies to Data Quality Management
Issue Resolution & Remediation:
- Collaborate with Data Owners, Data Stewards, IT teams, and business stakeholders to prioritise, track, and resolve data quality issues in a timely and efficient manner
- Oversee and support data cleansing, enrichment, and standardisation initiatives, ensuring data is optimally prepared for use in advanced analytics and AI applications
- Implement preventative measures to minimise future data quality defects, particularly those that could compromise the integrity or ethical use of AI systems
Monitoring & Reporting:
- Design, develop, and maintain data quality dashboards and reports to provide visibility into data quality levels, trends, and the impact of remediation efforts
- Regularly communicate data quality status and progress to relevant stakeholders and senior management, highlighting risks and opportunities related to AI data quality
Tooling & Automation:
- Evaluate, select, and implement data quality tools and technologies to automate data quality checks, monitoring, and reporting processes, including those that can support the validation of unstructured or semi-structured data relevant for Generative AI
- Optimise existing data quality processes for efficiency and effectiveness
Collaboration & Training:
- Work closely with the businesses, Data Governance, Data Architecture, and AI/ML engineering teams to integrate data quality into the end-to-end data lifecycle, from data ingestion to AI model deployment
- Provide training and guidance to Data Owners, Data Stewards, and business users on data quality best practices and their roles in maintaining high-quality data, emphasising the critical role of data quality for trustworthy AI
- Champion data quality awareness and a data-driven culture across the organisation
Contribution to Digital Transformation & AI:
- Ensure data quality requirements are embedded into new system implementations, data migrations, and digital transformation projects from the outset
- Support the provision of high-quality, trusted data for advanced analytics, reporting, and especially for the training, fine-tuning, and operational use of Generative AI and Agentic AI models
Connect to your skills and professional experience
Essentials:
- Proven experience in data quality management as well as data governance, or a related data management discipline, with experience in lead role
- Proven track record of successfully developing and implementing enterprise-level data quality frameworks and initiatives
- Deep understanding of data quality dimensions (e.g., accuracy, completeness, consistency, timeliness, validity, uniqueness)
- Proficiency with data profiling, data cleansing, and data standardisation techniques and tools (e.g., 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 the unique data quality challenges and requirements for Machine Learning, Generative AI, and Agentic AI models, including considerations for data 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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Desirable Skills:
- Experience in a professional services organisation
- Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilities
- Knowledge of Master Data Management (MDM) and Metadata Management concepts.
- Experience with data quality tools specifically designed for unstructured data or text analytics
- Relevant industry certifications e.g., DAMA Certified Data Management Professional (CDMP), Data Quality certifications)
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related quantitative field
Connect to your business - Enabling Functions
Collaboration is central to everything we do at Deloitte. From IT to HR, marketing and more, our teams help to support the wider business in everything they do. Bringing your individual skills and specialist knowledge, you can make a far-reaching impact. Come join us.
Central business services
We deliver world-class business support services for our people, our clients and our firm. From HR services, technology and digital support and pensions to facilities management, and more - together we are a true enabler for better business.
Personal independence
Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships). This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with SEC audit clients of the firm whilst being employed by the firm). The recruitment team will provide further detail as you progress through the recruitment process or you can contact the Independence team upon request.
For a full job description, please visit our online Deloitte Careers portal.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location