Deloitte
Assistant Manager Data Quality, UK Deloitte Data Office
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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, reusable 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.
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As an Assistant Data Quality Manager, you will play a critical role in supporting the design, implementation, and operationalisation of the firm’s data quality framework. You will work closely with Data Quality Managers, Data Owners, Data Stewards, and technology teams to ensure data is accurate, complete, consistent, and fit for purpose, underpinning reporting, regulatory compliance, and AI-driven initiatives.
You will be instrumental in building and maintaining trust in our data, which is foundational to Deloitte's ability to deliver high-quality services and insights to our clients and internal stakeholders. This is an exciting opportunity to contribute to the strategic evolution of data management in a leading professional services firm, shaping how data is perceived and utilised across the organisation.
Key Responsibilities:
- Data Profiling and Analysis:
- Conduct comprehensive data profiling across diverse datasets to identify characteristics, anomalies, inconsistencies, and potential data quality issues that include those that could impact AI model performance
- Application of AI technologies to Data Quality Management
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Data Quality Rule Definition and Implementation:
- Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI models
- Ensure adherence to Deloitte's data governance policies and standards, contributing to a robust framework that supports ethical, responsible, and compliant AI development
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Issue Identification and Resolution:
- Proactively identify, analyse, and document data quality issues, performing root cause analysis and collaborating with data owners and technical teams to implement effective remediation strategies
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Data Cleansing and Transformation:
- Support data cleansing initiatives, correcting or excluding inaccurate, incomplete, or irrelevant data to maintain error-free datasets
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Data Quality Monitoring and Reporting:
- Develop and implement continuous data quality monitoring processes, establishing key metrics and creating dashboards to track data accuracy, integrity, and fitness for purpose
- Maintain thorough documentation of data quality processes, rules, issues, and resolutions, particularly as they pertain to AI data pipelines
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AI Data Readiness:
- Specifically focus on preparing data for GenAI and Agentic AI initiatives, ensuring data is structured, transformed, contextualised, and accessible. This includes detecting and mitigating biases in AI data, managing unstructured data for Large Language Models (LLMs), and ensuring data lineage is clear for explainable AI
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Collaboration and Communication:
- Collaborate cross-functionally with Data Engineers, Data Scientists, AI Developers, and business users to embed data quality best practices throughout the data lifecycle and provide continuous feedback on data requirements for advanced AI
Connect to your skills and professional experience
Essentials:
- Proven experience in data quality management, data governance, or a related data management discipline
- 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
- Understanding of how data quality impacts AI model performance, reliability, and the mitigation of issues like ‘hallucinations
- 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
Desirable Skills:
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- Experience in the professional services
- 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 (or equivalent qualification) 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 details as you progress through the recruitment process, or you can contact the Independence team upon request.
Connect with your colleagues
"I love the diversity in the projects that I’m involved in and the opportunity to work with lots of different people from various service lines." – Deloitte employee
Our hybrid working policy
You’ll be based in one of our UK offices with hybrid working.
At Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You’ll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter for the specific working requirements that may apply for your role.
For a full job description, please visit our online Deloitte Careers portal.
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