Senior Data Warehouse Manager

Job overview

Senior Data Warehouse Manager

• hours per week

Permanent

Salary: £57,528 - £64,750 per annum

Closing Date: Friday 22nd May 2026

Interview Date: TBC

**This post may close early due to high numbers of applications, so you are advised to apply promptly. **

All correspondence for this vacancy will be sent by email; please check your account regularly including your Junk and SPAM areas.

A great and friendly place to work, so bring your passion, commitment and expertise and enjoy the opportunities to make a difference every day.

We welcome applications from the Armed Forces Community – get in touch to find out more

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Main duties of the job

• George Eliot Hospital NHS Trust is seeking a highly motivated, experienced and technically skilled individual to lead its Data Warehouse Team during a period of significant transformation in the organisation’s digital and data capabilities.
• The Data Warehouse Manager will be responsible for the design, development, and ongoing management of the Trust’s data warehouse and associated data engineering processes. This includes overseeing data architecture, data modelling, and the development of reliable and scalable data pipelines that integrate information from clinical, operational, and corporate systems. These datasets underpin the Trust’s internal operational reporting, statutory national returns, and advanced analytics capabilities.
• The post holder will provide leadership to the Data Warehouse Team, supporting the development of staff, prioritising workloads, and ensuring that high standards of technical delivery are maintained. They will be responsible for conducting regular one-to-one meetings, annual appraisals, and fostering a culture of continuous improvement and technical excellence within the team. The role will also ensure that clear standards, documentation, and operating procedures are in place to support the resilience and sustainability of the Trust’s data platform.

Detailed job description and main responsibilities

Data Warehousing

• Develop and maintain a robust data warehouse and analytics architecture that integrates data from clinical, operational, and corporate systems and supports scalable storage, transformation, and analysis of healthcare data.
• Lead the design and implementation of robust data ingestion and transformation pipelines (ETL/ELT) to integrate data from a wide range of internal and external systems into the Trust’s enterprise data platform.
• Establish and promote data quality standards, validation processes, and monitoring mechanisms to ensure the accuracy, completeness, and consistency of data held within the Trust’s analytics platform.
• Monitor and optimise the performance, scalability, and reliability of the data warehouse and associated data pipelines to ensure efficient data processing and retrieval.
• Work with analysts, reporting teams, and operational stakeholders to understand analytical requirements and develop well-structured data models and curated datasets that support reporting and advanced analytics.
• Ensure comprehensive documentation of data architecture, data pipelines, data models, and metadata, including the maintenance of data dictionaries and technical standards.
• Implement and maintain robust data security and access control mechanisms to protect patient and operational data, ensuring compliance with information governance policies and relevant data protection legislation.

Leadership and Management

• Maintain effective working relationships with key stakeholders across the Trust, providing specialist advice and support to ensure that agreed objectives and deliverables are achieved and appropriately documented.
• Work closely with internal Digital Services teams and external technology partners to ensure effective coordination of infrastructure, integration, and platform support for the Trust’s data and analytics environment.
• Where required, support organisational investigations and reviews by providing specialist data analysis, interpretation, and technical advice
• Liaise with third-party system vendors and technology partners to support the effective implementation, integration, and ongoing operation of data platform technologies.

Strategic Contribution

• Contribute to the development and implementation of the Trust’s data and analytics strategy, ensuring that the data warehouse and analytics platform evolve to meet organisational needs.
• Provide technical leadership and advice on the design and adoption of modern data platform technologies and data engineering practices.
• Identify opportunities to improve the Trust’s use of data through better integration, modelling, and accessibility of datasets to support operational improvement and patient care.

Technical and Platform Leadership

• Provide technical leadership and guidance to the Data Warehouse Team, ensuring adoption of best practices in data engineering, data modelling, and platform management.
• Oversee the selection, implementation, and optimisation of data platform tools and technologies, ensuring solutions are scalable, secure, and fit for purpose.
• Maintain awareness of emerging tools, techniques, and industry trends, advising the team and wider organisation on opportunities to enhance the Trust’s data and analytics capabilities.
• Promote consistency, quality, and maintainability across data pipelines, datasets, and analytics solutions, ensuring alignment with organisational data strategy.

Problem Solving

• Analyse a wide range of data, system, and analytical issues, making effective use of available information to identify root causes and inform appropriate solutions.
• Work with stakeholders to understand the underlying business or clinical question and translate this into an appropriate analytical or technical approach.
• Work with stakeholders to understand the underlying business or clinical question and translate this into an appropriate analytical or technical approach.

Insight Generation & Communication

• Use appropriate communication methods to present analytical findings clearly and effectively to a range of audiences.
• Tailor communication and analytical outputs to the needs of different stakeholders, using language and context that is accessible to both technical and non-technical audiences.
• Present analytical findings using clear visualisations and structured narratives that support understanding and informed decision-making.
• Translate complex technical or analytical concepts into clear, practical insights and recommendations for operational, clinical, and senior leadership audiences.

Influencing Skills

• Build effective working relationships with stakeholders across the organisation in order to influence decision-making and promote the effective use of data and analytics.
• Facilitate discussions with clinical, operational, and technical stakeholders to develop shared understanding and agreement on analytical approaches and priorities.
• Use negotiation and persuasion skills to balance competing requirements and achieve practical solutions to complex analytical or data-related challenges.
• Apply strong interpersonal and communication skills to build trust, encourage collaboration, and support the adoption of data-driven approaches across the organisation.

Continuous Skills Development

• Maintain and develop professional knowledge and technical expertise in data engineering, analytics platforms, and emerging technologies relevant to the Trust’s data strategy.
• Proactively seek opportunities for professional development, contributing to a culture of continuous learning within the Data Warehouse Team.
• Share knowledge, best practice, and technical expertise with colleagues to support the development of team capability and improve the quality of analytical delivery.
• Promote professional standards and behaviours in line with the Trust’s values, fostering a supportive and collaborative working environment.

For a full comprehensive list of main responsibilities and duties, please kindly refer to job description and personal specification attached.