Data Integration Lead

Description

Top 5 DQ Analysis Skills relevant for the role:

• Strongtechnical analysis skills – self-starter and can multitask with minimum support

• StrongSQL technical base, attitude to learn new tools on job

• Abilityto challenge the status quo related to DQ – managing processes and peopleaspects

• Abilityto network and collaborate with data champions within business

• Own andDrive the DQ agenda at LPUK 

Overall JD:

• Toconsult with Business and IT colleagues to lead understanding and improvementof the quality LPUK data

• To driveimprovements in data quality and data governance by monitoring data qualitymetrics and data quality improvement plans to deliver continuous improvementsto LPUK

• Tomanage master data sets, troubleshooting data issues, identifying patterns andcorrelations among the various data sources, proposing and where appropriateimplementing remediations and reporting progress

Data Quality Improvements

• Identify,analyse and record Data Quality issues

• Driveprogress on data quality improvements by influencing and working with businessstakeholders

• Provideprofessional guidance to colleagues on data quality management

Business Support

• Documentdata quality standards as agreed with the business – encompassing keyattributes, targets, rules and profiling results

• Supportbusiness and IT data remediation activities, advising on methodologies,preparing and implementing changes and production of metrics and result sets

Data Management

• Promotedata ownership and stewardship culture at LPUK

• Monitor,track and follow up Data Council actions with the business, identifying andresolving blockers and dependencies 

Monitoring

• Lead theintroduction of Next Generation DataManagement tools including Trillium, Collibra, Tibco EBX & Power BI

• Defineand deliver data quality targets and monitoring approaches with the business

• Workwith colleagues in the wider Data team to replace the Qlikview Driver DQDashboard

DigiTAL Projects Support

• Assessdata for migration to new platforms –advising on data retention, quality, mappings etc. Create comprehensive and professionalrequirements and project documentation

• Preparedatasets for migration including bulk remediation and transformation

Data Analysis

• Accessand query LP business applications and datamarts (legacy and Next Generation)to extract ad-hoc data sets as needed for analysis

• Identifydata mismatches and rule violations

• Identifypatterns highlighting attributes that are misused, repurposed or misunderstood

• Facilitatecleansing where appropriate, by undertaking, commissioning or supporting thework 

Compliance to Data Regulations

• Ensurethat data retention (GDPR) and information security policies are adhered to inall project work

• Supportresolution of regulatory data compliance issues within projects and BAU

• Assistin risk and security assessments relating to data management for DigitalRoadmap projects