Leadership & Strategy
Setting the vision and direction for data, keeping it tied to organisational and commercial priorities, and improving data maturity across the organisation.
ExamplesLead a data management team of data stewards and data managers to achieve its goals and implement its strategic direction, maintaining day-to-day alignment.
Managed client portfolios in Technology and Finance generating £7.1 million in revenue.
Governance
Building governance frameworks, standards and data ownership across the organisation, aligned to the DAMA-DMBOK2 framework, and preparing well-described data for reliable AI and automation use.
ExampleEstablished an ownership model covering data stewardship, and implemented the approach for a business glossary, data catalogue and data dictionary.
Quality & Analysis
Analytical work from raw data through to decisions people can act on.
ExampleOversee data quality and remediation across a directorate, including through migration to Databricks.
Migration & Systems
Complex migrations and system implementations, covering ETL, mapping rules, validation and cutover.
ExampleManaged the deployment of a student data system with over 500,000 records, leading data cleansing, mapping and validation for the migration.
Stakeholders
Engaging stakeholders at all levels and explaining data to technical and non-technical audiences, including through a data literacy programme.
ExampleEngage internal teams, external customers and sector counterparts to define data requirements and champion open standards.