Governance Framework

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.

NameRole (in this context)RACI
Julie StoneChair of Information WorkstreamAccountable
Sarah MartinoBIRA ManagerResponsible (Reporting)
Julian KellettSenior Data EngineerResponsible (Data Engineering)
Simon WillmoreHead of Digital StrategyConsulted
Mathew RowleyHead of Accounting UKConsulted
Sarah LongData ManagerConsulted

Data Stewards:

Business stakeholders responsible for defining data requirements, priorities, and usage guidelines.

DataMartNamed ResponsibilityRole
FinanceSarah MartinoFinance Manager
EmployeeGudrun NeumannHead of People
ResourceSimon MathiesonTechnical Assurance and Capability Director
ProjectMike PrinceGlobal PMO Director
CustomerDavid DringHead 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.

NameFinanceEmployeeResourceProjectCustomerBusOppContractSupplierInfrastructure
Martyn Cole IRRCI   
Sam Jepson-Whyte RC      
Soon TanC   CR   
Emma O’Neill    R    

Data Custodians:

 IT personnel responsible for implementing and maintaining data management infrastructure, including data pipelines, data lakes, and ETL processes.

NameRole (in this context)Domain
Julian KellettData ArchitectData Warehouse & DataMart
Ali AhmedData EngineerData Lake
Chris ClarkApplication of SharePointEnterprise Applications
Lee SouthamIT & Data Asset SecurityIT Infrastructure
Steve SmithDevelopment EngineerPower Apps
Will NewhamOperational Data ManagementIFS (UK) Data
Chris ThomasOperational Data ManagementHubSpot 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.

Leave a Comment