The DOM’s governance framework defines clear roles, policies, and responsibilities, ensuring data is trustworthy, compliant, and effectively managed across its lifecycle.
Data Governance Structure: Establishes an oversight committee and data stewards across departments to maintain quality.
Roles & Responsibilities: Assign data owners, stewards, and custodians to manage, validate, and secure data across departments.
Quality Control and Continuous Improvement: Routine audits and feedback loops ensure that quality standards are maintained and improved.
Information Management Workstream:
Responsible for setting strategic objectives, policies, and priorities related to data governance and quality management.
Name | Role (in this context) | RACI |
Julie Stone | Chair of Information Workstream | Accountable |
Sarah Martino | BIRA Manager | Responsible (Reporting) |
Julian Kellett | Senior Data Engineer | Responsible (Data Engineering) |
Simon Willmore | Head of Digital Strategy | Consulted |
Mathew Rowley | Head of Accounting UK | Consulted |
Sarah Long | Data Manager | Consulted |
Data Stewards:
Business stakeholders responsible for defining data requirements, priorities, and usage guidelines.
DataMart | Named Responsibility | Role |
Finance | Sarah Martino | Finance Manager |
Employee | Gudrun Neumann | Head of People |
Resource | Simon Mathieson | Technical Assurance and Capability Director |
Project | Mike Prince | Global PMO Director |
Customer | David Dring | Head of Future Business Operations |
Business Opportunities | ||
Contract | ||
Supplier | ||
Infrastructure |
Data Specialists:
Appointed individuals responsible for managing specific data domains, overseeing data quality, and ensuring compliance with governance policies.
Name | Finance | Employee | Resource | Project | Customer | BusOpp | Contract | Supplier | Infrastructure |
Martyn Cole | I | R | R | C | I | ||||
Sam Jepson-Whyte | R | C | |||||||
Soon Tan | C | C | R | ||||||
Emma O’Neill | R |
Data Custodians:
IT personnel responsible for implementing and maintaining data management infrastructure, including data pipelines, data lakes, and ETL processes.
Name | Role (in this context) | Domain |
Julian Kellett | Data Architect | Data Warehouse & DataMart |
Ali Ahmed | Data Engineer | Data Lake |
Chris Clark | Application of SharePoint | Enterprise Applications |
Lee Southam | IT & Data Asset Security | IT Infrastructure |
Steve Smith | Development Engineer | Power Apps |
Will Newham | Operational Data Management | IFS (UK) Data |
Chris Thomas | Operational Data Management | HubSpot Data |
Continuous Improvement:
Commitment to ongoing review and improvement of the data quality plan and associated processes.
Description of how feedback, lessons learned, and best practices will be incorporated to enhance data quality management efforts.
There is an underlying commitment by all stakeholders to ongoing review and improvement of the data quality plan and associated processes. This requires feedback, lessons learned, and best practices to be incorporated to enhance data quality management efforts.
Feedback Mechanisms:
Feedback from data consumers and stakeholders will be solicited to identify areas for improvement in data governance and quality management.
Review and Optimisation:
Regular reviews and audits of data governance processes and outcomes will be conducted to identify opportunities for optimisation and enhancement.
Training and Education:
Training programs will be provided to educate employees on data governance best practices, data quality management techniques, and compliance requirements.
Knowledge Base:
A self-service repository/library will be provided to store easily retrievable information about DataMart as well as how-to guides, learning and other knowledge articles.