Data Quality Lead

• The Data Quality Lead is a hands on technical role leading a small team of analysts Reporting to the Enterprise Data Manager and working closely with other IT functions to deliver data quality services to the business Data Management is a rapidly evolving and maturing area for client and so gives the role holder a fantastic opportunity to develop new data practices using a cloudenabled data management tool Talend and influence how data management practices are developed in Client location • The purpose of the Data Management Team is to deliver value across the whole business enterprise in line with Client’s data strategy and industrydriven digitalisation transformation by managing data in line with mandated best practice guidelines The Data Management Team are developing new technical solutions that support the business to meet their responsibilities as data owners data stewards data creators and data users within the Data Management Framework Key Responsibilities • Lead a team of data management analysts to monitor data quality through profiling and development of data quality rules and metrics • Work with data engineers solution designers data integration and data architecture to implement data quality profiling and DQ dashboard solutions using Clients strategic data management platform and visualisation tools to meet data user needs • Develop a methodology and processes to detect and manage data quality issues at all stages in the data lifecycle through both automated checks and engagement with data users and data ownersstewards to design and implement DQ rule and metrics for all critical data including analytical models • Advise data ownersstewards on data cleansing solutions such as deletion deduplication standardisation reformatting to meet data quality requirements for reliable data under a data management strategy that includes master data management • Support the development of metadata solutions eg traceability trust scores to manage data quality within a QFAIR framework • Work with business stakeholders to produce data quality benchmarking and assessment to help them manage data quality risks and issues Advise on the appropriate remediation activity to resolve data quality issues and incidents including root cause analysis • Work with data stewards and other SMES to drive standardisation of data quality improvement processes Develop processes to provide data quality assurance to end users of data within a data as a service framework including open data and shared data services in line with regulatory requirements • Promote a strong data culture and embed data best practise guidelines to deliver business value and meet regulatory expectations • Support the Enterprise Data Manager in shaping data quality principles processes policies procedures and technical standards • Lead on the development design maintenance and application of Clients data quality rule register within DQ management tooling • Provide technical liaison with IT product owners for connections to new data source systems for data quality analysis • Drive best practice to ensure all data quality development work undertaken is delivered with the appropriate governance ownership and controls for the complexity and scale of the work Ensuring that processes are fit for purpose and do not become bureaucratic • Support the training and upskilling of developers within the Data Management team • Be an ambassador for development of data services within client in line with data best practise guidelines Skills knowledge and experience • Data practitioner with a minimum of 5 years technicalIT experience in database development or other data management discipline within a mature data environment • People management experience as a line manager and workload manager • Strong technical competency and knowledge of the following technologiesdisciplines • ETLELT knowledge • Data Quality Management methodologies • Data engineering knowledge • Data management platforms • Database programming languages • Cloudbased data platforms • Data architecture principles • Information security • ITIL standards eg for change and incident management • Managing multiple stakeholder requirements • Able to communicate complex technical concepts clearly and simply to stakeholders • Delivering solutions within a software development lifecycle • Incident request management processes and workflow • Delivering technical components within a change management framework such as requirement analysis and technical impact assessment • Understanding of how to manage data risk through compliance with legal and regulatory compliance • Understanding of the components of a data management framework • Understanding the basics Skills Mandatory Skills : Microstrategy,MS Excel,PowerBI,Python,QlikView,SAP Business Objects,Tableau,ANSI-SQL,Cognos Analytics,Python for DATA,QlikSense,MySQL