PBT Group has an opportunity for a Data Quality Lead to focus on driving and supporting Data & Integration to implement Data Quality Management.
This includes data quality measurement & monitoring and data quality issue management & remediation.
They will be a delivery-oriented Data Quality Management professional who is able to work with stakeholders to effectively identify, remediate and manage data quality issues and incidents.
This will include inputs into the effective use of our enterprise metadata repository as it relates to, and influences, data quality management.
Their key focus will be the expansion of the data quality scoring scope to include all data assets for both On & Off-Platform data.
The DQ Lead will be working very closely with the Data Governance Lead, who will be setting out and embedding the Data Management Principles, Data Governance Framework and Data Standards, that will lay a foundation for the Data Quality Management stream.
In this role, the lead will be required to work across multiple business units and building and maintaining strong relationships.
They will use their ability to influence and support a diverse set of stakeholder groups to effectively manage their Data Quality issues and incidents, contribute to the identification and remediation of enterprise level issues, and guide the client on what they need to do to establish good data quality management practices within their business.
This includes measuring and monitoring data quality effectively. Improve profitability by supporting the IT Strategy through necessary interventions.
Chair the enterprise Data Quality Working Group
Drive the establishment of data quality measurement and monitoring
Lead preparation of business groups to effectively implement data quality measurement practices utilising Informatica IDQ
Lead the business support of the IDQ platform
Drive Data Quality Issue Management involving :
leveraging and, where necessary, uplifting the artefacts in place today to set clear "how to" guidance on good data quality management practices
highlight the impact of poor-quality data, from a regulatory, compliance, finance and reputation perspective
supporting the teams to implement the necessary structure within their businesses to implement effective data quality issue management
ensuring data quality rules are captured within the enterprise repository
Manage data quality issues
Ensure accurate, monthly, Data Quality reporting is produced to give visibility to Data Governance Council and Data Stewards Forum on data quality issues
Analyse data quality issues, facilitating the determination of issue impact, root cause and solution options
Lead Data Management Data Quality team
Lead the Data Quality Program
Oversee the design and delivery of data integrity specific reports and insights that analyzes and provides a view of the quality of data
Support all data streams within Data & Integration, by identifying anomalies across the data landscape
Provide quality assurance of imported data
Organize and drive successful completion of data insight initiatives through effective management and collaboration with key stakeholders
Communicate results and business impacts of insight initiatives to stakeholders
Locate and define new process improvement opportunities relating to data analytics
5+ years experience working in Data Management Practices, particularly in Data Quality
Experience working with business and technical project stakeholders to translate business requirements into data requirements
Experience in data management and a passion for driving value through data
Experience defining data quality rules / business rules / validation / data controls
An analytical mind and inclination for problem-solving
Ability to work on multiple projects in parallel
Ability to work in an agile methodology
Analytical Skills : Work with large amounts of data : facts, figures, and number crunching
Communication Skills : Present findings or translate the data into an understandable document. Write and speak clearly, easily communicating complex ideas
Critical Thinking : Must look at the numbers, trends, and data and come to new conclusions based on the findings.
Attention to Detail : Data is precise. Vigilant in analysis to come to correct conclusions
Solid Short-term insurance business knowledge
Ability to produce solutions using :
Microsoft Azure packages
Exposure to the Cloud environment
Microsoft Excel (Power Pivot, Power Query)
Microsoft SQL Integration Services
Microsoft SQL Analysis Services
Microsoft SQL Reporting Services
Microsoft Data Quality Services (or any data quality tool)
Qualifications / Certification :
Bsc Computer Science - Informatics / Data Analytics / Statistics degree
Microsoft Business Intelligence certification advantageous
Certified Data Management Professional (CDMP) Certified