Data Quality Manager in Crick

Data Quality Manager in Crick

Crick Full-Time 50000 - 65000 £ / year (est.) Home office (partial)
City Plumbing Supplies

At a Glance

  • Tasks: Lead a team to ensure top-notch data quality using AI and automation.
  • Company: Join a friendly and successful Commercial Data Management team.
  • Benefits: Enjoy flexible working, bonuses, and a supportive environment.
  • Other info: Inclusive workplace that values diversity and personal growth.
  • Why this job: Make a real impact on data quality while collaborating with diverse teams.
  • Qualifications: 5+ years in data management with strong AI and SQL skills.

The predicted salary is between 50000 - 65000 £ per year.

Come and join us as a focused and results-driven Data Quality & Insights Manager and be part of a hugely successful and friendly Commercial Data Management team. As our Data Quality & Insights Manager, you will lead a dedicated team of Data Analysts and Administrators. You'll be responsible for ensuring overall product data quality and accuracy by leveraging advanced automation and AI-driven processes to maintain high-integrity data assets, while providing expert human oversight. You will collaborate closely with cross-functional teams to proactively manage data workflows with human-verified precision.

Responsibilities

  • Team Leadership: Manage and inspire a permanent team of 3 Data Analysts and Administrators (with temporary flex for projects), leveraging AI tools to maintain data workflows.
  • Data Quality Framework: Establish, maintain, and enforce comprehensive data quality frameworks, guidelines, and standards across the organisation using automation and AI-driven cleansing, standardisation, and enrichment.
  • Monitoring & Issue Resolution: Continuously build, improve, and proactively report on data quality processes, collaborating across teams to resolve data issues in a timely and effective manner.
  • Tool Evaluation & Implementation: Evaluate, select, and implement market-leading AI/ML automation platforms and technologies to support all data quality initiatives.
  • Stakeholder Collaboration: Work closely alongside business stakeholders, data stewards, and IT teams to understand technical data requirements and ensure data quality meets business needs.
  • Continuous Improvement: Drive the ongoing monitoring, analysis, and optimisation of data management practices to boost overall efficiency.

This is a hybrid-based opportunity with true flexibility to work from home, but you should be within commutable distance of our offices in Crick, Northamptonshire. You’ll live and breathe our Customer First ethos, with an innovative and agile approach to problem-solving. You’ll enjoy working collaboratively with the wider Data team and you’ll thrive on delivering excellent data delivery.

Qualifications

  • Relevant certifications in data management or data quality (e.g., CDMP, CIQM) are essential.
  • A Bachelor's degree in Computer Science, Information Systems, or a related field is preferred.
  • 5+ years of experience in data processing or a related field, with proven experience implementing automation and AI for data profiling, cleansing, and standardisation.
  • Proficiency in AI-driven data automation tools, understanding of machine learning principles, and exceptional capabilities in SQL, spreadsheets, and other data analysis tools. (Experience with Google applications is a plus).
  • A strong understanding of data quality principles, data governance processes, industry standards, and familiarity with data privacy and security regulations.
  • Prior knowledge or experience working within market-leading Plumbing & Heating businesses is preferred.

It is likely you will have worked in any of the following roles and/or markets: Data Quality Manager, Data Insights Manager, Automation Data Manager, Lead Data Analyst, Data Governance Manager, AI Data Automation Lead - Retail, Distribution, Supply Chain, Manufacturing, or Plumbing & Heating.

Benefits

  • Discretionary Bonus
  • Enhanced pension options
  • Discounts, savings and cash back at numerous retailers
  • Life assurance
  • Extended family policy including maternity, paternity, additional annual leave and more
  • Mental Health First Aiders and Employee Assistance Programme, we look out for each other
  • Complete induction and a company that lets you grow and encourages development
  • Financial education and loans
  • Flexible working options
  • A business striving to create an environment of inclusion so everyone can be their true self
  • And more!

We’re passionate about creating an inclusive workplace that celebrates and values diversity. Bring your whole self to work regardless of age, disability, gender identity or reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. We don’t want you to ‘fit’ our culture, we want you to enrich it.

Data Quality Manager in Crick employer: City Plumbing Supplies

Join a dynamic and inclusive team as a Data Quality & Insights Manager, where you'll lead a talented group of Data Analysts in a supportive environment that prioritises employee growth and collaboration. With flexible hybrid working options from our Crick office, you will benefit from a comprehensive range of perks including enhanced pension plans, mental health support, and a commitment to diversity, ensuring you can thrive both personally and professionally.

City Plumbing Supplies

Contact Details:

City Plumbing Supplies Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Quality Manager in Crick

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We think you need these skills to ace Data Quality Manager in Crick

Data Quality Management
Team Leadership
AI-driven Automation
Data Profiling
Data Cleansing
Data Standardisation
SQL

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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