About the role

Job Description

Execute Data Quality Management processes in-line with defined standards and process documentation
Support engagement with business stakeholders (Data Owners, Data Stewards, Executive Data Owners) to adopt and maintain responsibilities pertaining to Data Quality Management
Support the documentation and reporting of Data Quality Issues, including dashboard production and ad-hoc reporting
Perform root cause analysis for Data Quality Issues and feed into solution design where appropriate
Escalate Data Quality Issues to Data Quality Lead and other relevant business and IT stakeholders where required
Work closely with business and IT stakeholders to define Data Quality Rules, including through execution of Data Profiling
Support the operations and maintenance of Data Quality Monitoring dashboards
Support the application of Data Quality Control Standards (Data Quality by Design) within SDLC processes
Support the design and maintenance of Data Quality tooling solutions
Support the provision and reporting of Data Quality Key Risk Indicators
Support maintenance and continuous improvements to the Data Quality Framework, including underlying processes and procedures
Drive adoption of data quality standards and best practices

Knowledge/Experience

Strong previous experience managing Data Quality at an enterprise level
Strong experience in root cause analysis techniques for DQ Issues
Strong experience in Data Profiling and Data Cleansing
Strong knowledge and experience in other data management topics (e.g. data governance, metadata management)
Strong experience interpreting conceptual, logical and physical data models
Preferably experience delivering into regulatory initiatives (e.g. Solvency II, BCBS-239, CCAR)
Exposure to data modelling, use of Critical Data Elements (CDE) / Key Data Elements (KDE) and data architecture
Ability to work in a team and also operate self-sufficiently
Excellent inter-personal, collaboration and communication skills
Ability to engage, influence, and forge strong partnerships with IT and business stakeholders
Ability to talk authoritatively about the positive impact of data management

Technical skills

Strong experience in Data Quality tooling (e.g. Talend, Ataccama, Trillium)
Strong experience in one or more Metadata Management and Data Lineage tools (e.g. Collibra, Informatica Data Catalog, Ab Initio Metadata Explorer, IBM InfoSphere IGC, Talend Data Catalog etc.)
Strong experience working with business Data Owners and Data Stewards to perform data quality management responsibilities
Strong experience in Metadata Management and Data Lineage (e.g. business glossary documentation, maintenance, data lineage documentation)
Strong experience in SQL, Python
Preferable experience with Azure stack, including Azure data factory V2, Blob/ADLS, Azure Databricks, Snowflake, Azure analysis services and Cosmos DB, or strong experience in data engineering on other cloud platforms (GCP, AWS)
Experience working with continuous integration and continuous deployment tooling using Azure Dev Ops

Experience or certifications in Data Management bodies of knowledge (E.g. DAMA, DCAM)

Behaviours/Mindset

Manages Ambiguity - Operates effectively, even when things are not certain or the way forward is not clear.
Cultivates Innovation – Creates new and better ways for the organization to be successful.
Collaborates - Builds partnerships and works collaboratively with others to meet shared objectives.
Learning mindset - Actively seeks new ways to grow and be challenged using both formal and informal development channels.
Supports Nimble Learning – encourages and enables learning through experimentation when tackling new problems, using both successes and failures as learning opportunities. Encourages the team to experiment and take calculated risks in search of innovative solutions.
Drives Results - Consistently achieves results, even under tough circumstances.
Manages Conflict - Handles conflict situations effectively skilfully drawing upon a wide range of perspectives in order to find optimal solutions to challenging situations. Actively identifies areas of agreement, builds solid consensus around them, and leverages these to resolve issues.
Ensures Accountability - Holds self and others accountable to meet commitments.
Being Resilient - Rebounds from setbacks and adversity when facing difficult situations.

Data Mgmt & Governance