Data Quality Manager

Purpose of the role

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources. 

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Execution of data cleansing and transformation tasks to prepare data for analysis.
• Designing and building data pipelines to automate data movement and processing.
• Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
• Documentation of data quality findings and recommendations for improvement.

Vice President Expectations

• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a Data Quality Manager at Barclays where you’ll spearhead the evolution of our digital landscape, driving innovation and excellence. You’ll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.

To be successful in this role you will require:

• Experience with Advanced SQL (Preferably Teradata)
• Financial Services/Customer data experience
• An understanding of data modelling and complex data structures.
• A working knowledge of Abinitio (or equivalent) ETL Software design & developmental experience
• Self-motivation and ability to work with minimal supervision on a variety of tasks at all stages of the project life cycle
• Strong organisational skills & English oral & written communication

Some other highly desired skills are:

• Unix Scripting, ETL, High level understand of data quality concepts.
• Being inquisitive to ensure understanding of requirements and able to demonstrate understanding through communicating requirements to others.
• Analytical investigation and problem-solving techniques. Challenging and using initiative to improve processes, systems and applications.

You may be assessed on the key critical skills relevant for success in role, such as strong experience in communication skills, stakeholder management and an inquisitive and driven mindset as well as job-specific technical skills. Additional relevant skills in Agile are highly valued.

This role will be based in Northampton.