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The Data Architect is a key member of the Digital Data & Technology (DDaT) team, adding value for our patients through improving and developing digital services across the Trust and wider health and care system.
Ensure the Data Warehouse and BI teams are an effective component of the Trust’s DDaT target operating model, working alongside others, delivering continuous overall improvement. The Data Architect is responsible for teams delivering accurate and timely datasets and analytics to support clinical services, in line with Trust priorities. They will also pro-actively review new and emerging technologies and their potential benefit to the Trust, and where relevant develop business cases for these technologies.
The role has a strong client focus, manages complex and sensitive information, liaises and communicates with clinical and non-clinical staff and external suppliers to ensure quality standards are met for any changes deployed.
They take a leading role in how their teams operate, supporting the organisation (and the ICS), and enabling innovation and supporting delivery of local, regional and national strategy. Ensure that services are supported with consistent, professional and value adding expertise from the Data Warehouse and BI teams. The role requires an expert technical base and the ability to deliver as well as manage technical solutions.
Be responsible for complex and sensitive datasets for internal customers and external parties to support clinical analytics, evaluation, research, and operational decision making. • Advise key internal customers/stakeholders on management and storage of datasets and analysis tools available to them. • Assist in managing the secure data environment quality function where data quality issues (e.g. inconsistency, referential integrity, missing data) are identified from investigations of data within the warehouse; maintaining an Issue log whereby issues are logged and tracked through to resolution. • Overall responsibility for co-ordinating the logging of key data quality problems with the internal back office and system suppliers and oversee the resolution of the issues by working together with these internal and external parties. • Support the maintenance and improvement of the secure data environment as a system, including relevant system documentation. Maintain and monitor the secure data environment such that it is dependable, reliable, timely and has a robust disaster recovery mechanism in place.