Data Quality Remediation Lead

Barclays Bank PLC
Glasgow, UK
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Big Data Data Profiling Data Strategy Data Analytics Data Management

Job description

Join us as Data Quality Remediation Lead within the UK Corporate Chief Data Analytics Office at Barclays, to develop, implement, and maintain effective governance frameworks for all client data and records across the bank’s global operations. To be successful in this role, you should have sound knowledge and skills in, You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of Glasgow or Northampton. Purpose of the role To develop, implement, and maintain effective governance frameworks for all data and records across the bank’s global operations. Accountabilities

Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Monitoring data quality and records metrics and compliance with standards across the organization. Identification and addressing of data and records management risks and gaps. Development and implementation of a records management programme that ensures the proper identification, classification, storage, retention, retrieval and disposal of records. Development and implementation of a data governance strategy that aligns with the bank’s overall data management strategy and business objectives. Provision of Group-wide guidance and training on Data and Records Management standard requirements.

Requirements

Experience in completing data quality root cause analysis and implementing remediation to improve both data acquisition and existing large volumes of data. Strong stakeholder management and the ability to prioritise remediation based on risk and business value. Experience in using data analytics to make informed data-led decisions. Experience in using AI to improve business processes.

Some other highly valued skills may include:

Experience of using data profiling tools. Master certification in DAMA Certified Data Management Professional.

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