Job Description

Data Quality Manager
Stapleford
Full-Time
35,000 - 58,000 £ / year (est.).
PCD320054

Tasks: Lead the development of data quality frameworks across key business systems.
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Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
Why this job: Make a real impact on data accuracy that keeps millions safe every day.
Qualifications: Experience in data quality and strong analytical skills required.
Other info: Be part of a future-ready team embracing AI and innovation.
The predicted salary is between35,000 - 58,000 £ per year.

Role Purpose
Location – Head Office, Ruddington, Nottinghamshire

Level – Experienced Professional

Department – Product R&D

Working Pattern – Full-time, hybrid (Tuesday, Wednesday and Thursday in office).

Benefits – Benefits at the organisation.

Salary – this will be discussed at the next stage of the process, if you do have any questions please feel free to reach out.

We are seeking a Data Quality Manager to lead the development and implementation of data quality frameworks across our core business systems—CRM platform, Zuora, and Netsuite. This role plays a key part in ensuring the accuracy, consistency, and reliability of data that supports our risk and compliance software solutions.

The successful candidate will work closely with cross-functional teams to define data standards, monitor data quality, and drive continuous improvement through governance and collaboration.

About the organisation

the organisation is the invisible force behind many things we rely on every day – from keeping airplanes soaring in the sky, to ensuring the food on our tables is safe, to helping doctors and nurses care for the sick. So, when you think of the organisation, think of it as the silent teammate that’s always working behind the scenes to help those people who make our lives safer and better. Everyday millions of people are kept safe using the organisation software. We have offices all over the world including America, Australia, Malaysia and India with people doing lots of different and exciting jobs.

We’re building a future-ready team, and AI is part of how we work smarter. If you’re curious, adaptable and open to using AI to improve how you work, you’ll thrive at the organisation!

What is next?

If your application meets the requirements for this role, our Talent Acquisition team will be in touch to guide you through the next steps.

At the organisation, we value the importance of work-life balance and welcome candidates seeking flexible arrangements. If this is something you are interested in, please let us know during the application process. Enhance your career and make the world a safer place!

the organisation is an equal opportunities employer and welcomes applications from all qualified candidates.

Data Quality Manager employer: the organisation.

Skills and Experience
Experience in data quality, data management, or data governance roles.
Strong understanding of CRM platform, Zuora, and Netsuite data structures and integrations.
Ability to define and monitor data quality metrics and KPIs.
Strong analytical and problem-solving skills with attention to detail.
Effective communication skills and experience working with stakeholders across multiple functions.
Familiarity with data management and reporting tools (e.g., Informatica, Talend, business intelligence platform).
Knowledge of data privacy regulations (e.g., GDPR, CCPA) and financial compliance standards.

Responsibilities
Develop and implement a data quality strategy across CRM platform (CRM), Zuora (subscription management), and Netsuite (ERP).
Define and maintain data quality standards, rules, and processes to ensure consistency and compliance.
Monitor data quality metrics and create dashboards to track accuracy, completeness, and timeliness.
Conduct regular audits to identify and resolve data discrepancies.
Collaborate with stakeholders across sales, finance, product, and IT to establish data ownership and accountability.
Lead data governance initiatives, including stewardship programs and stakeholder training.
Manage ongoing data cleansing, enrichment, and validation processes.
Evaluate and implement tools to support data quality monitoring and management.
Ensure compliance with internal controls, regulatory requirements, and data protection standards.