Data Quality Manager

Centrica
Leicester
3 weeks ago
Applications closed

Related Jobs

View all jobs

MIS & Funding Manager

Data Quality & Governance Manager

Data Quality and Governance Manager

Data Governance Manager

Data Services Manager

Data Quality Analyst

Join us, be part of more. 

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We're energisers. One team of 21,000 colleagues that's energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion, and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it, and mend it. 
 

About your team: 

At British Gas, our mission is to sell it and mend it.

We’ve been powering the UK’s homes and businesses for over 200 years – but supplying energy is just part of what we do. We’re making the UK greener and more energy efficient, getting closer to Net Zero. By using clever tech like thermostats, heat pumps, solar panels and EV chargers, we’re making it cheaper and easier for our customers to reduce their carbon-footprint.

Data Quality Manager

Full time or Part time

Leicester/Windsor

About your team:

At British Gas Energy, our ambition is to be Britain's favourite energy supplier

We’ve been powering the UK’s homes and businesses for over 200 years – but supplying energy is just part of what we do. We’re making the UK greener and more energy efficient, getting closer to Net Zero. By using clever tech like thermostats, heat pumps, solar panels and EV chargers, we’re making it cheaper and easier for our customers to reduce their carbon-footprint.

Are you passionate about Data & AI and eager to make a significant impact? We are growing our Data & Analytics department to drive value and innovation within our business. Through the development of Data & AI products, we aim to enhance decision-making, improve performance, and make a valuable difference in our business and for our customers.

Why Join Us?

Innovative Environment:Stay ahead in the Data & AI field through use of cutting-edge technologies and creative thinkingCollaborative Culture:Work with talented professionals in a supportive environment where best practices are shared, and continuous improvement is encouraged.Career Growth:We will invest in our team’s development through continuous learning opportunities and career advancement programs.Impactful Work:Directly contribute to our mission to drive business growth and operational efficiency.Personal Development: We will provide an environment for you to learn and develop, with access to resources and support to help you grow both professionally and personally.

About your role: 

We are looking for a visionary Data Quality Manager to spearhead the development of data quality initiatives at British Gas Business. In this exciting role, you will ensure the accuracy, consistency, and reliability of data across the business, driving data quality processes and improvements.

As the Data Quality Manager, you will manage a talented team of Data Quality Analysts, delivering the capabilities needed to support our data-driven goals. You will collaborate with distributed Data Owners and Data Stewards, guiding them in managing data quality initiatives and ensuring best practices are followed.

Your mission will be to prioritise and create critical data quality improvements and targets, accelerating the development of cutting-edge Data and AI products. 

Key aspects of this role are:

Data Quality Strategy & Risk Management: Develop and implement robust data quality strategies and frameworks to ensure high data standards, complying with Centrica Data Policies and GDPR regulations. Identify and mitigate data quality-related risks, supporting BGB’s risk management framework and avoiding GDPR-related fines (up to 4% of BGB’s annual turnover).Leadership & Team Management: Lead, mentor, and manage a team of Data Quality Analysts, providing guidance and support to ensure effective data quality practices.Data Quality Monitoring & Cleansing: Oversee the monitoring and reporting of data quality metrics to ensure data accuracy and consistency. Implement effective data cleansing and validation processes to address data quality issues.Quality Assurance & Technology Adoption: Develop and enforce data quality assurance processes and standards across the organization. Utilise available technology to support the monitoring and implementation of data quality practices.Issue Resolution & Collaboration: Investigate and resolve complex data quality issues and discrepancies. Collaborate with Data Owners, Data Engineers, Data Analysts, and Data Scientists to embed data quality practices and address data quality issues.Documentation & Transparency: Maintain comprehensive documentation of data quality processes, standards, and findings. Promote transparency of data quality issues to all stakeholders.

Here's what we’re looking for: 

Proven track record in a data quality function or related field, demonstrating expertise in managing and improving data quality. Deep understanding of data quality management principles and best practices, ensuring high standards and compliance. Hands-on experience with data profiling and data cleansing tools, as well as proficiency in SQL and data querying. Familiarity with data quality frameworks that promote proactive data quality management, and experience with data visualisation tools (e.g., Power BI). Experience in leading and developing Data Quality Analysts, fostering a collaborative and high-performing team environment. Strong understanding of data governance, data management, and data quality practices, ensuring data integrity and reliability. Knowledge of regulatory compliance and data stewardship, ensuring adherence to relevant laws and regulations. Expertise in data quality management, data profiling, data mapping, and data cleansing, ensuring accurate and consistent data across the organisation. Experience of managing budgets and third-party suppliers and/or contractors.

Why should you apply?
 
We’re not a perfect place – but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you. 
 
 

If you're full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.


Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.